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BackgroundPavlovian fear paradigms involve learning to associate cues with threat or safety. Aberrances in Pavlovian fear learning correlate with psychopathology, especially anxiety disorders. This study evaluated symptom dimensions of anxiety and depression in relation to Pavlovian fear acquisition and generalization.Methods256 participants (70.31 % female) completed a Pavlovian fear acquisition and generalization paradigm at ages 18-19 and 21-22 years. Analyses focused on indices of learning (self-reported US expectancy, skin conductance). Multilevel models tested associations with orthogonal symptom dimensions (Anhedonia-Apprehension, Fears, General Distress) at each timepoint.ResultsAll dimensions were associated with weaker acquisition of US expectancies at each timepoint. Fears was associated with overgeneralization only at age 21-22. General Distress was associated with overgeneralization only at age 18-19. Anhedonia-Apprehension was associated with overgeneralization at ages 18-19 and 21-22.ConclusionsAnhedonia-Apprehension disrupts Pavlovian fear acquisition and increases overgeneralization of fear. These effects may emerge during adolescence and remain into young adulthood. General Distress and Fears also contribute to overgeneralization of fear, but these effects may vary as prefrontal mechanisms of fear inhibition continue to develop during late adolescence. Targeting specific symptom dimensions, particularly Anhedonia-Apprehension, may decrease fear generalization and augment interventions built on Pavlovian principles, such as exposure therapy.

University brings many changes and challenges in students inducing a great amount of emotion fluctuation. During these times of emotion fluctuation, students can experience a drop off in academic performance and a rise in stress levels. In these times, effective emotion regulation has demonstrated to be a valuable tool correlated with improving academic performance and lowering stress. Music and light/color have been shown to be effective aspects of a smart environment for emotion regulation. Combining this knowledge along with physiological signal analysis correlating with emotions, we set out to develop a smart environment system set to aid students with emotion regulation. Our goal is to develop a low-cost accessible tool for university students that enhances student performance, emotional self understanding, and positive emotion regulation habits.Faculty Advisor: Professor Dang

Pupil size is a non‐invasive index for autonomic arousal mediated by the locus coeruleus–norepinephrine (LC‐NE) system. While pupil size and its derivative (velocity) are increasingly used as indicators of arousal, limited research has investigated the relationships between pupil size and other well‐known autonomic responses. Here, we simultaneously recorded pupillometry, heart rate, skin conductance, pulse wave amplitude, and respiration signals during an emotional face–word Stroop task, in which task‐evoked (phasic) pupil dilation correlates with LC‐NE responsivity. We hypothesized that emotional conflict and valence would affect pupil and other autonomic responses, and trial‐by‐trial correlations between pupil and other autonomic responses would be observed during both tonic and phasic epochs. Larger pupil dilations, higher pupil size derivative, and lower heart rates were observed in the incongruent condition compared to the congruent condition. Additionally, following incongruent trials, the congruency effect was reduced, and arousal levels indexed by previous‐trial pupil dilation were correlated with subsequent reaction times. Furthermore, linear mixed models revealed that larger pupil dilations correlated with higher heart rates, higher skin conductance responses, higher respiration amplitudes, and lower pulse wave amplitudes on a trial‐by‐trial basis. Similar effects were seen between positive and negative valence conditions. Moreover, tonic pupil size before stimulus presentation significantly correlated with all other tonic autonomic responses, whereas tonic pupil size derivative correlated with heart rates and skin conductance responses. These results demonstrate a trial‐by‐trial relationship between pupil dynamics and other autonomic responses, highlighting pupil size as an effective real‐time index for autonomic arousal during emotional conflict and valence processing. [ABSTRACT FROM AUTHOR]

This paper introduces a neural network‐based model designed for classifying emotional states by leveraging multimodal physiological signals. The model utilizes data from the AMIGOS and SEED‐V databases. The AMIGOS database integrates inputs from electroencephalogram (EEG), electrocardiogram (ECG), and galvanic skin response (GSR) to analyze emotional responses, while the SEED‐V database continuously updates EEG signals. We implemented a sequential neural network architecture featuring two hidden layers, which underwent substantial hyperparameter tuning to achieve optimal performance. Our model's effectiveness was tested through binary classification tasks focusing on arousal and valence, as well as a more complex four‐class classification that delineates emotional quadrants for the emotional tags: happy, sad, neutral, and disgust. In these varied scenarios, the model consistently demonstrated accuracy levels ranging from 79% to 86% in the AMIGOS database and up to 97% in SEED‐V. A notable aspect of our approach is the model's ability to accurately recognize emotions without the need for extensive signal preprocessing, a common challenge in multimodal emotion analysis. This feature enhances the practical applicability of our model in real‐world scenarios where rapid and efficient emotion recognition is essential. [ABSTRACT FROM AUTHOR]

The human body has two main types of sweat glands: apocrine and eccrine. Eccrine glands are widely distributed across the skin, including areas with hair. While the eccrine glands on palms and soles help improve grip, those on the rest of the body primarily aid in thermoregulation. Sudomotor function, which controls sweating, is regulated by the sympathetic division of the autonomic nervous system through cholinergic and adrenergic pathways. The activation of eccrine glands involves intricate processes, including neurotransmitter binding, ion channel modulation, and voltage generation. Sudoscan technology utilizes electrochemical skin conductance (ESC) to non-invasively measure sudomotor function. This method, which has been standardized for accuracy, has established normative benchmarks and has proven reliable across diverse populations. Sudoscan's diagnostic performance is comparable to invasive methods such as intraepidermal nerve fiber density testing, making it a valuable tool for diagnosing small fiber neuropathy. Moreover, it has been shown to correlate with corneal nerve fiber length, providing insights into various neuropathic conditions. Compared to traditional sudomotor function tests, Sudoscan proves superior in terms of its accessibility, simplicity, and reliability, with the potential to replace or complement existing diagnostic methods. It is important to differentiate ESC, as measured by Sudoscan, from other skin conductance measures, such as galvanic skin response (GSR) or electrodermal activity (EDA). Although these methods share a common physiological principle, ESC is specifically designed for diagnosing sudomotor function, unlike GSR/EDA, which is typically used for continuous monitoring. Sudoscan's success has led to its integration into consumer health devices, such as the BodyScan from Withings, showcasing its versatility beyond clinical settings. Future research may explore ESC applications in diverse medical fields, leveraging real-world data from integrated consumer devices. Collaborative efforts between researchers and engineers promise to offer new insights into sudomotor function and its implications for broader health monitoring. This study provides a comprehensive overview of ESC, including topics such as eccrine gland physiology, sudomotor function, Sudoscan technology, normative benchmarks, diagnostic comparisons, and potential future applications. [ABSTRACT FROM AUTHOR]

Understanding the psychophysiological state during robot-aided rehabilitation is crucial for assessing the patient experience during treatments. This paper introduces a psychophysiological estimation approach using a Fuzzy Logic inference model to assess patients' perception of robots during upper-limb robot-aided rehabilitation sessions. The patients were asked to perform nine cycles of 3D point-to-point trajectories toward different targets at varying heights with the assistance of an anthropomorphic robotic arm (i.e. KUKA LWR 4+). Physiological parameters, including galvanic skin response, heart rate, and respiration rate, were monitored across ten out of forty daily sessions. This data enabled the construction of an inference model to estimate patients' perception states. Results expressed in terms of correlation coefficients between the patient state and the increasing number of sessions. Correlation coefficients showed statistically significant strong associations: a state of heightened engagement (formerly described as "Excited") had ρ = - 0.73 (p-value=0.01), and a more calm and resting state (namely "Relaxed" state) had ρ = 0.70 (p-value=0.02) with the number of sessions completed. All patients had positive interaction with the robot, initially expressing curiosity and interest that gradually shifted to a more "Relaxed" state over time. [ABSTRACT FROM AUTHOR]

Introduction: Pavlovian fear conditioning is an experimental paradigm used to study the acquisition and extinction of fear responses and the various aspects of fear and anxiety. We developed a virtual reality (VR) version of this paradigm to leverage the benefits of virtual reality, such as ecological validity, standardization, safety, and therapeutic applications. Our objective was to create an open-source and immersive environment for studying fear-related responses using Unity Engine 3D and the Oculus Rift device. Methods: In this virtual environment, the participants encountered a monster screaming at 100 dB approaching them as the fear-inducing stimulus (unconditioned stimulus or US). Our protocol included three sessions: habituation, acquisition, and extinction, with two stimuli associated with different doors (blue vs. red). The blue door (CS+) was linked to the US, while the red door (CS−) was the control. We tested this VR paradigm on 84 young participants, recording their skin conductance response (SCRs) and fear stimulus ratings (FSRs) on a 10-point Likert scale. Results: The findings showed significantly higher SCRs and FSRs for CS+ as compared to CS− during the acquisition phase and higher SCRs and FSRs for CS+ during the acquisition phase as compared to the habituation and extinction sessions. Discussion and conclusions: These results supported the reliability of the protocol for studying fear and anxiety-related conditions. [ABSTRACT FROM AUTHOR]

Research on the Capgras delusion has often involved different strands that have tended to focus on underlying neurological or psychological factors. Both approaches are necessary to a full understanding. From a psychological perspective, the Capgras delusion has been thought to be created by an unfortunate interaction of problems at different levels. The first level involves anomalous perceptual experience in the form of a loss of preparatory emotional responses that causes things to seem strange, unfamiliar and even somewhat unreal. The second level involves a constellation of factors that lead to an incorrect interpretation of this anomalous experience. Hence the delusion has been considered to represent patients' attempts to make sense of their anomalous perceptual experience. There is a reasonable fit between this psychological account of the Capgras delusion and the neurological findings. [ABSTRACT FROM AUTHOR]

Christopher J. Patrick, a renowned researcher in the field of psychophysiology, has been honored for his contributions to the study of psychopathy. His research has focused on understanding the construct of psychopathy and its manifestations in both criminal and noncriminal contexts. Patrick's work has shed light on the emotional deficits associated with psychopathy, identified different pathways to the disorder, and explored its dimensional nature. He has also integrated psychopathy research with mainstream psychopathology research, linking it to externalizing and internalizing psychopathology factors. Patrick's influential triarchic model of psychopathy proposes three distinct trait-dispositional characteristics and has led to the development of purpose-built scales for assessing psychopathy traits. [Extracted from the article]

The main goal of the study was to scrutinize mediating and moderating mechanisms identified in line with the predictions of Somatic Marker Hypothesis (SMH) and Dual Process Theory of the effect of acute stress on decision making. The sample group of the research comprised of 61 (31 females, 30 males) healthy university students aged between 18 and 23 (x̄ = 21, SD = 1.28). Data measurement tools were Skin Conductance Response Measurement, Iowa Gambling Test, Wisconsin Card Sorting Test, Wechsler Memory Scale-III Spatial Span Subtest, Stroop Test TBAG Form, Wechsler Adult Intelligence Matrix Reasoning Subtest, Stress Rating Scale, The State-Trait Anxiety Inventory, Big Five Personality Traits Scale, Ways of Coping Inventory, Beck Depression Inventory. The findings indicated that acute stress gives rise to decision-making failures by suppressing the SCR emphasized in SMH and mental processes defined in System 2. Furthermore, neuroticism had a moderating role in the relationship between stress and decision-making. Accordingly, the abovementioned theories cannot separately be sufficient to explain decision-making under stress; but, the predictions of these theories can complement each other to thoroughly make out the physiological and cognitive mechanisms of decision-making. [ABSTRACT FROM AUTHOR]

This study deals with an analysis of the cognitive load indicators produced in virtual simulation tasks through supervised and unsupervised machine learning techniques. The objectives were (1) to identify the most important cognitive load indicators through the use of supervised and unsupervised machine learning techniques; (2) to study which type of task presentation was most effective at reducing the task's intrinsic load and increasing its germane load; and (3) to propose an explanatory model and find its fit indicators. We worked with a sample of 48 health sciences and biomedical engineering students from the University of Burgos (Spain). The results indicate that being able to see the task before performing it increases the germane load and decreases the intrinsic load. Similarly, allowing students a choice of presentation channel for the task respects how they process information. In addition, indicators of cognitive load were found to be grouped into components of position, speed, psychogalvanic response, and skin conductance. An explanatory model was proposed and obtained acceptable fit indicators. [ABSTRACT FROM AUTHOR]

When interviewing children in suspected child sexual abuse (CSA) cases, a common mistake is for interviewers to only ask questions that aim at confirming their initial assumption. Here, we sought to investigate whether experienced emotional states and psychophysiological parameters measured when following a (simulated) CSA interview would be associated with confirmation bias in subsequent question formulation. Psychology students (N = 60, Mage = 22.75) followed a (simulated) CSA interview while their facially expressed emotions (anger, sadness, disgust, surprize and relief), galvanic skin response, heart rate (HR), and HR variability (HRV) were registered. The interview was then interrupted, and the participants were asked to formulate additional questions they would ask of the interviewee. As predicted, we found that participants who got more (vs. less) disgusted by the interview asked more questions biased towards confirming CSA. Against our expectations, participants who got more (vs. less) surprized also asked more questions biased towards confirming CSA. We also found, as predicted, that lower HRV was associated with more abuse confirming questions. Results suggest that emotions and psychophysiological states participants experience when observing a CSA interview are associated with confirmation bias in how questions are formulated. [ABSTRACT FROM AUTHOR]

WEMAC is a unique open multi-modal dataset that comprises physiological, speech, and self-reported emotional data records of 100 women, targeting Gender-based Violence detection. Emotions were elicited through visualizing a validated video set using an immersive virtual reality headset. The physiological signals captured during the experiment include blood volume pulse, galvanic skin response, and skin temperature. The speech was acquired right after the stimuli visualization to capture the final traces of the perceived emotion. Subjects were asked to annotate among 12 categorical emotions, several dimensional emotions with a modified version of the Self-Assessment Manikin, and liking and familiarity labels. The technical validation proves that all the targeted categorical emotions show a strong statistically significant positive correlation with their corresponding reported ones. That means that the videos elicit the desired emotions in the users in most cases. Specifically, a negative correlation is found when comparing fear and not-fear emotions, indicating that this is a well-portrayed emotional dimension, a specific, though not exclusive, purpose of WEMAC towards detecting gender violence [ABSTRACT FROM AUTHOR]

Skin conductance is a commonly used physiological measure during psychology experiments, such as during fear conditioning. Methods for scoring skin conductance responses (SCRs) are highly heterogeneous, though most researchers agree that manually inspected scores provide the highest quality data when compared to most available fully automated scoring methods. However, manual scoring is extremely time‐consuming. We developed a semi‐automated scoring program that reduces the time required to process SCR data at a level of quality akin to manual scoring. In contrast to all previous scoring programs, our program enables scoring of first interval response (FIR), second interval response (SIR), and third interval response (TIR) SCRs. Using interclass correlation coefficients (ICCs), Bland–Altman plots and Pareto analysis, we show here that our method is highly reliable and produces data that are almost identical to data that are manually scored and scored using LEDALAB. This software is very easy to use and is freely available to download and modify. We expect that this software will be helpful in reducing the time required to produce high quality FIR, SIR, and TIR skin conductance data for psychology researchers around the world. [ABSTRACT FROM AUTHOR]

Concealed information test (CIT) has been utilized for long to perform single measurements. The combination of multiple measures outperforms single measures because of the diverse cognitive processes they reflect and the reduction in random errors facilitated by multiple measures. To further explore the performance of the CIT with multiple measurements, 57 participants were recruited and randomly assigned into guilty and innocent groups. Subsequently, simultaneously recorded reaction time (RT), skin conductance responses (SCRs), heart rate (HR), and neuroimaging data were collected from functional near‐infrared spectroscopy (fNIRS) to detect participants' concealed information in a standard CIT. The results demonstrated that all indicators including RT (area under the curve (AUC) = 0.87), SCRs (AUC = 0.79), HR (AUC = 0.78), and fNIRS (channel 8, AUC = 0.85) could differentiate guilty and innocent groups. Importantly, the use of multiple indicators achieved higher detection efficiency (AUC = 0.96) compared to the use of any single indicator. These results illustrate the effectiveness and feasibility of integrating multiple indicators for concealed information detection in CIT. [ABSTRACT FROM AUTHOR]

Our aim in this study was to test the effect of 10 sessions of biofeedback (BFB) on physiological, psychological, and cognitive functioning of international tennis players. In this randomized controlled trial, we recruited 16 international tennis players (11 male, 5 female; M age = 17.31, SD = 0.87 years), who were randomly assigned to either an intervention group (IG; n = 8) or a control group (CG; n = 8). Those in the IG received 10 multimodal BFB sessions over four weeks, while those in the CG received no intervention. We assessed physiological, psychological, and cognitive parameters before and after the intervention and found a positive effect for skin temperature, state anxiety, and cognitive performance in the IG versus the CG. We provide preliminary data that 10 sessions of multimodal BFB improved cognitive functions and reduced anxiety symptoms in international tennis players. Future investigators should consider increasing sample size, incorporating an active CG, and studying these effects across diverse athletic disciplines. [ABSTRACT FROM AUTHOR]

Sense of ownership and agency are two important aspects of the minimal self, but how self-perception is affected by social conditions remains unclear. Here, we studied how social inclusion or exclusion of participants in the course of a virtual Cyberball game would affect explicit judgments and implicit measures of ownership and agency (proprioceptive drift, skin conductance responses, and intentional binding, respectively) in a virtual hand illusion paradigm, in which a virtual hand moved in or out of sync with the participants' own hand. Results show that synchrony affected all four measures. More importantly, this effect interacted with social inclusion/exclusion in the Cyberball game for both ownership and agency measure, showing that social exclusion reduces perceived agency and ownership. [ABSTRACT FROM AUTHOR]

Background/Objectives: Meditation induces changes in the nervous system, which presumably underpin positive psychological and physiological effects. Such neural changes include alterations in the arousal fluctuation, as well as in infraslow brain activity (ISA, <0.1 Hz). Furthermore, it is known that fluctuations of arousal over time correlate with the oscillatory phase of ISA. However, whether this arousal–ISA correlation changes after meditation practices remains unanswered.; Methods: The present study aims to address this question by analyzing a publicly available electroencephalogram (EEG) dataset recorded during meditation sessions in the groups of experienced meditators and novices. The arousal fluctuation is measured by galvanic skin responses (GSR), and arousal–ISA correlations are measured by phase synchronization between GSR and EEG ISAs.; Results: While both groups exhibit arousal–ISA correlations, experienced meditators display higher correlations than novices. These increased arousal–ISA correlations in experienced meditators manifest more clearly when oscillatory phase differences between GSR and EEG ISAs are either 0 or π radians. As such, we further investigate the characteristics of these phase differences with respect to spatial distribution over the brain. We found that brain regions with the phase difference of either 0 or π radians form distinct spatial clusters, and that these clusters are spatially correlated with functional organization estimated by the principal gradient, based on functional connectivity.; Conclusions: Since increased arousal–ISA correlations reflect enhanced global organization of the central and autonomic nervous systems, our findings imply that the positive effects of meditation might be mediated by enhanced global organization of the nervous system. [ABSTRACT FROM AUTHOR]

Introduction: We developed a low‐cost, user‐friendly complementary research tool to evaluate autonomic nervous system (ANS) activity at varying levels of cognitive workload. This was achieved using visual stimuli as cognitive tasks, administered through a specially designed computer‐based test battery. Methods: To assess sympathetic stress responses, skin conductance response (SCR) was measured, and electrocardiograms (ECG) were recorded to evaluate heart rate variability (HRV), an indicator of cardiac vagal tone. Twenty‐five healthy adults participated in the study. SCR and ECG recordings were made during both tonic and phasic phases using a computer‐based system designed for visual stimuli. Participants performed a button‐pressing task upon seeing the target stimulus, and the relationship between reaction time (RT) and cognitive load was evaluated. Results: Analysis of the data showed higher skin conductance levels (SCLs) during tasks compared to baseline, indicating successful elicitation of sympathetic responses. RTs differed significantly between simple and cognitive tasks, increasing with mental load. Additionally, significant changes in vagally mediated HRV parameters during tasks compared to baseline highlighted the impact of cognitive load on the parasympathetic branch of the ANS, thereby influencing the brain–heart connection. Conclusion: Our findings indicate that the developed research tool can successfully induce cognitive load, significantly affecting SCL, RTs, and HRV. This validates the tool's effectiveness in evaluating ANS responses to cognitive tasks. [ABSTRACT FROM AUTHOR]

Pavlovian fear conditioning and extinction represent learning mechanisms underlying exposure‐based interventions. While increasing evidence indicates a pivotal role of disgust in the development of contamination‐based obsessive‐compulsive disorder (C‐OCD), dysregulations in conditioned disgust acquisition and maintenance, in particular driven by higher‐order conceptual processes, have not been examined. Here, we address this gap by exposing individuals with high (HCC, n = 41) or low (LCC, n = 41) contamination concern to a conceptual‐level disgust conditioning and extinction paradigm. Conditioned stimuli (CS+) were images from one conceptual category partially reinforced by unconditioned disgust‐eliciting stimuli (US), while images from another category served as non‐reinforced conditioned stimuli (CS−). Skin conductance responses (SCRs), US expectancy and CS valence ratings served as primary outcomes to quantify conditioned disgust responses. Relative to LCC, HCC individuals exhibited increased US expectancy and CS+ disgust experience, but comparable SCR levels following disgust acquisition. Despite a decrease in conditioned responses from the acquisition phase to the extinction phase, both groups did not fully extinguish the learned disgust. Importantly, the extinction resilience of acquired disgust was more pronounced in HCC individuals. Together, our findings suggest that individuals with high self‐reported contamination concern exhibit increased disgust acquisition and resistance to extinction. The findings provide preliminary evidence on how dysregulated disgust learning mechanism across semantically related concepts may contribute to C‐OCD. Our study is the first to explore abnormalities in higher‐order disgust conditioning in contamination‐based OCD. Our study demonstrates for the first time that conceptual conditioning extends to the domain of disgust and that individual with high contamination concern exhibit a stronger disgust conditioning but resistance to disgust extinction. Alterations were restricted to disgust experience and threat expectation while autonomous responses as assessed by skin conductance responses were normal, suggesting that dysregulations in cognitive appraisal or subjective emotional experience may represent driving factors of dysfunctional learning in OCD. [ABSTRACT FROM AUTHOR]

The ability to flexibly transition between defensive states is crucial for adaptive responding in life‐threatening situations. Potentially threatening situations typically induce a sustained feeling of apprehension in association with hypervigilance, while acute threat is usually characterized by an intense and transient response to cope with the imminent danger. While potential and acute threat states have traditionally been viewed as mutually exclusive, this distinction is being challenged by a growing body of evidence suggesting a more complex interplay during simultaneous activation of these states. However, the interaction between potential and acute threat on a psychophysiological level remains elusive. To fill this gap, 94 healthy individuals participated in one of two contextual fear‐conditioning paradigms. In both paradigms, a differential fear‐learning phase was conducted, followed by a test phase in which the conditioned stimuli were presented in front of either conditioned or inherently aversive contextual images compared to neutral contexts. To capture defensive responses, we recorded subjective (threat and expectancy ratings) and physiological (electrodermal and cardiovascular) activity to the conditioned stimuli as a function of contextual threat. Besides indices of successful fear conditioning, our results revealed stronger threat and unconditioned stimulus expectancy ratings, cardiac deceleration, and skin conductance responses for threat and safety cues presented in inherently aversive compared to neutral contexts. Conditioned contexts had less impact on physiological responses to threat and safety cues than inherently aversive contexts. These findings provide new insights into the additive nature of defensive responses to fear cues and situations of contextual threat. Recent research challenges the idea that defensive states induced by potential and acute threat are mutually exclusive. In this study, we observed enhanced defensive responses to acute threat stimuli during aversive contexts as indexed by heart rate and skin conductance responses, indicating an interplay between potential and acute threat states that is influenced by contextual threat levels. [ABSTRACT FROM AUTHOR]

The construction industry is actively developing remote-controlled excavators to address labor shortages and improve work safety. However, visually induced motion sickness (VIMS) remains a concern in the remote operation of construction machinery. To predict the occurrence and severity of VIMS, we developed a prototype system that acquires multiple physiological signals with different mechanisms under a low burden and detects VIMS from the collected data. Signals during VIMS were recorded from nine healthy adult males operating excavator simulators equipped with multiple displays and a head-mounted display. Light gradient-boosting machine-based VIMS detection binary classification models were constructed using approximately 30,000 s of time-series data, comprising 23 features derived from the physiological signals. These models were validated using leave-one-out cross-validation on seven participants who experienced severe VIMS and evaluated through area under the curve (AUC) scores. The mean receiver operating characteristic curve AUC score was 0.84, and the mean precision–recall curve AUC score was 0.71. All features were incorporated into the models, with saccade frequency and skin conductance response identified as particularly important. These trends aligned with subjective assessments of VIMS severity. This study contributes to advancing the use of remote-controlled machinery by addressing a critical challenge to operator performance and safety. [ABSTRACT FROM AUTHOR]

Psychopathy in women has gained the attention of the scientific community, but research on the emotional processing in individuals with psychopathic traits and its role in criminal behavior is still scarce. The present systematic review aims to aggregate existing literature that analyze emotional processing in women with psychopathy traits. The search terms, conducted in six databases, identified 13 relevant studies, meeting the following criteria: women, 18 years or older, prison or community contexts, and written in English, Spanish, or Portuguese. Studies pointed to a compromise in the understanding, management, and categorization of emotions, especially those with negative valence, and the presence of alexithymia in women with higher scores of psychopathic traits. Some studies revealed that women with psychopathy had reduced limbic activation, cortical deficits in emotional processing, and an absence of aversive startle response when exposed to aversive stimuli. Significant relationships between psychopathic traits, heart rate, and skin conductance response were documented. Additionally, the interpersonal-affective facet of psychopathy was linked to emotion management difficulties, while the antisocial-impulsive dimension seems linked to alexithymia and deficits in the processing of negatively valenced emotions. These findings carry practical implications for interventions with psychopathic women. [ABSTRACT FROM AUTHOR]

Background: Uncertainty-related distress is considered a hallmark of anxiety and obsessive compulsive disorders (OCD). Previous research in community samples has demonstrated that individuals with high Intolerance of Uncertainty (IU), the tendency to find uncertainty aversive, display altered threat extinction learning and retention. Methods: Here, we conducted an exploratory secondary analysis of an existing dataset (Steinman et al., 2022) to examine the extent to which IU in a clinical sample with anxiety and OCD predicts threat extinction learning and retention. Participants with an anxiety disorder and/or OCD completed a differential threat learning task across two days (n = 27). Skin conductance response (SCR) was used as an index of conditioned responding. Results: No significant effects of self-reported IU were observed for differential SCR during any of the experimental phases. However, higher self-reported IU, while controlling for trait anxiety, was specifically associated with greater SCR overall during same-day extinction training, next-day extinction training, and next-day reinstatement test. Conclusions: Such findings provide preliminary evidence that higher IU within clinical samples with anxiety and/or OCD may be associated with heightened arousal under uncertainty, and highlight IU as a promising treatment target for anxiety and OCD. [ABSTRACT FROM AUTHOR]

Predicting video virality is the holy grail of marketing today. Previous video virality prediction research has relied upon two processes that may lead to incomplete data or incomplete analyses: non-subconscious data collection and self-reporting. This exploratory study evaluates the potential of using a physiological manifestation of emotions captured through facial expressions and skin conductance to predict video viewer engagement across the viewing experience. In the context of video virality and user-focused emotional response, an experiment with 64 subjects viewing 13 videos collected facial expression and galvanic skin response data during the entire viewing experience. XGBoost classifier was deployed using 42 collected features (physiological data and socio-behavioural responses). The selected classifier could predict user engagement with over 80% accuracy. In addition to socio-demographic data and behavioural features, the predictive model identified several facial expression-based features, including action units (mouth open, cheek raise, eye closure, lip raise, and smile), emotions (joy), engagement and positive valence along with head movement (attention) and arousal (GSR peaks) as the most impactful. This study confirms the predictive capability of physiological data and elevates the value and need to understand further the role of viewers' physiological and subconscious responses to video content across the viewing experience. [ABSTRACT FROM AUTHOR]

• Pain habituation is not a sensitive marker for central sensitization across a variety of patients with chronic pain. • Patients show prolonged latencies of contact-heat evoked potential and sympathetic skin response compared to healthy controls. • Prolonged latencies potentially reflect a compensatory inhibitory tone within the nociceptive system in chronic pain patients. The present study aimed to investigate whether subjective and objective measures of pain habituation can be used as potential markers for central sensitization across various chronic pain patients. Two blocks of contact-heat stimuli were applied to a non-painful area in 93 chronic pain patients (low back pain, neuropathic pain, and complex regional pain syndrome) and 60 healthy controls (HC). Habituation of pain ratings, contact-heat evoked potentials (CHEP), and sympathetic skin responses (SSR) was measured. There was no significant difference in any measure of pain habituation between patients and HC. Even patients with apparent clinical signs of central sensitization showed no reduced pain habituation. However, prolonged baseline CHEP and SSR latencies (stimulation block 1) were found in patients compared to HC (CHEP: Δ-latency = 23 ms, p = 0.012; SSR: Δ-latency = 100 ms, p = 0.022). Given the performed multimodal neurophysiological testing protocol, we provide evidence indicating that pain habituation may be preserved in patients with chronic pain and thereby be of limited use as a sensitive marker for central sensitization. These results are discussed within the framework of the complex interactions between pro- and antinociceptive mechanism as well as methodological issues. The prolonged latencies of CHEP and SSR after stimulation in non-painful areas may indicate subclinical changes in the integrity of thermo-nociceptive afferents, or a shift towards antinociceptive activity. This shift could potentially affect the relay of ascending signals. Our findings challenge the prevailing views in the literature and may encourage further investigations into the peripheral and central components of pain habituation, using advanced multimodal neurophysiological techniques. [ABSTRACT FROM AUTHOR]

Trauma type moderates the impact of trauma exposure on clinical symptomatology; however, the impact of trauma type on the neural correlates of emotion regulation is not as well understood. This study examines how violent and nonviolent trauma differentially influence the neural correlates of conditioned fear and extinction. We aggregated psychophysiological and fMRI data from three studies; we categorized reported trauma as violent or nonviolent, and subdivided violent trauma as sexual or nonsexual. We examined skin conductance responses (SCR) during a fear conditioning and extinction paradigm. For fMRI data analyses, we conducted region-specific and whole-brain analyses. We examined associations between beta weights from specific brain regions and CAPS scores. The group exposed to violent trauma showed significantly higher SCR during extinction recall. Those exposed to nonviolent trauma showed significantly higher functional activation during late extinction learning. The group exposed to violent trauma showed higher functional connectivity within the default mode network (DMN) and between the DMN and frontoparietal control network. For secondary analyses of sexual vs nonsexual trauma, we did not observe any between-group differences in SCR. During late extinction learning, the group exposed to sexual trauma showed significantly higher activation in the prefrontal cortex and precuneus. During extinction recall, the group exposed to nonsexual trauma showed significantly higher activation in the insular cortex. Violent trauma significantly impacts functional brain activations and connectivity in brain areas important for perception and attention with no significant impact on brain areas that modulate emotion regulation. Sexual trauma impacts brain areas important for internal perception. [ABSTRACT FROM AUTHOR]

Despite the increasing popularity of ambulatory assessment, the reliability and validity of psychophysiological signals from wearable devices is unproven in daily life settings. We evaluated the reliability and validity of physiological signals (electrocardiogram, ECG; photoplethysmography, PPG; electrodermal activity, EDA) collected from two wearable devices (Movisens EcgMove4 and Empatica E4) in the lab (N = 67) and daily life (N = 20) among adults aged 18–64 with Mindware as the laboratory gold standard. Results revealed that both wearable devices' valid data rates in daily life were lower than in the laboratory (Movisens ECG 82.94 vs. 93.10%, Empatica PPG 8.79 vs. 26.14%, and Empatica EDA 41.16 vs. 42.67%, respectively). The poor valid data rates of Empatica PPG signals in the laboratory could be partially attributed to participants' hand movements (r = –.27, p =.03). In laboratory settings, heart rate (HR) derived from both wearable devices exhibited higher concurrent validity than heart rate variability (HRV) metrics (ICCs 0.98–1.00 vs. 0.75–0.97). The number of skin conductance responses (SCRs) derived from Empatica showed higher concurrent validity than skin conductance level (SCL, ICCs 0.38 vs. 0.09). Movisens EcgMove4 provided more reliable and valid HRV measurements than Empatica E4 in both laboratory (split-half reliability: 0.95–0.99 vs. 0.85–0.98; concurrent validity: 0.95–1.00 vs. 0.75–0.98; valid data rate: 93.10 vs. 26.14%) and ambulatory settings (split-half reliability: 0.99–1.00 vs. 0.89–0.98; valid data rate: 82.94 vs. 8.79%). Although the reliability and validity of wearable devices are improving, findings suggest researchers should select devices that yield consistently robust and valid data for their measures of interest. [ABSTRACT FROM AUTHOR]

Electroencephalography (EEG)-based open-access datasets are available for emotion recognition studies, where external auditory/visual stimuli are used to artificially evoke pre-defined emotions. In this study, we provide a novel EEG dataset containing the emotional information induced during a realistic human-computer interaction (HCI) using a voice user interface system that mimics natural human-to-human communication. To validate our dataset via neurophysiological investigation and binary emotion classification, we applied a series of signal processing and machine learning methods to the EEG data. The maximum classification accuracy ranged from 43.3% to 90.8% over 38 subjects and classification features could be interpreted neurophysiologically. Our EEG data could be used to develop a reliable HCI system because they were acquired in a natural HCI environment. In addition, auxiliary physiological data measured simultaneously with the EEG data also showed plausible results, i.e., electrocardiogram, photoplethysmogram, galvanic skin response, and facial images, which could be utilized for automatic emotion discrimination independently from, as well as together with the EEG data via the fusion of multi-modal physiological datasets. [ABSTRACT FROM AUTHOR]

This paper introduces a novel method for emotion classification within virtual reality (VR) environments, which integrates biosignal processing with advanced machine learning techniques. It focuses on the processing and analysis of electrocardiography (ECG) and galvanic skin response (GSR) signals, which are established indicators of emotional states. To develop a predictive model for emotion classification, we extracted key features, i.e., heart rate variability (HRV), morphological characteristics, and Hjorth parameters. We refined the dataset using a feature selection process based on statistical techniques to optimize it for machine learning applications. The model achieved an accuracy of 97.78% in classifying emotional states, demonstrating that by accurately identifying and responding to user emotions in real time, VR systems can become more immersive, personalized, and emotionally resonant. Ultimately, the potential applications of this method are extensive, spanning various fields. Emotion recognition in education would allow further implementation of adapted learning environments through responding to the current emotional states of students, thereby fostering improved engagement and learning outcomes. The capability for emotion recognition could be used by virtual systems in psychotherapy to provide more personalized and effective therapy through dynamic adjustments of the therapeutic content. Similarly, in the entertainment domain, this approach could be extended to provide the user with a choice regarding emotional preferences for experiences. These applications highlight the revolutionary potential of emotion recognition technology in improving the human-centric nature of digital experiences. [ABSTRACT FROM AUTHOR]

Extinction, the repeated presentation of a conditional stimulus (CS) without the unconditional stimulus (US), is the standard paradigm to reduce conditional responding acquired by the repeated pairing of CS and US in acquisition. However, this reduction of conditional responding is prone to relapse. In rodent fear‐conditioning, gradual extinction, the fading out of CS‐US pairings during extinction, has been shown to reduce the return of fear. The current study replicated the gradual extinction procedure in human fear conditioning and assessed whether it reduced the return of fear due to ABA renewal and reacquisition. During extinction, one group received standard extinction, a second received gradual extinction (increasing the spacing of USs presented after the 1st, 3rd, 6th, 10th, and 15th CS+ trials), and a third received reversed extinction training (decreasing the spacing of USs presented after the 1st, 6th, 10th, 13th, and 15th CS+ trials). Larger renewal and faster reacquisition of differential electrodermal responses to CS+ and CS− were expected after standard and reversed extinction than after gradual extinction training. The results were inconclusive due to the failure to find extinction of differential electrodermal responses and US expectancy ratings in both gradual and reversed extinction groups. Despite successful extinction in group standard, renewal was only observed in US expectancy. Visualization of US expectancy ratings during extinction suggested that potential identification of the US presentation patterns during extinction in the gradual and reversed groups delayed extinction learning. [ABSTRACT FROM AUTHOR]

Background: Sex differences in the symptomatology of adults with attention-deficit/hyperactivity disorder (ADHD) have often been overlooked when studying behavioral abnormalities. However, it is known that women exhibit considerably more stronger symptoms related to emotional competence than men. Since affective functions significantly influence the processing of risky decision-making and risk-engagement, we assume that risky behavior in ADHD is affected by sex differences. Therefore, we specifically investigated sex-specific effects on the interaction between emotionally induced changes in physiology and behavioral performance on a decision-making task. Methods: Skin conductance responses of twenty-nine adults with ADHD (n = 16 male; n = 13 female) and thirty-three adults in the control group (n = 14 male; n = 19 female) were recorded during the performance in a modified version of the Balloon Analogue Risk Task (BART). Additional questionnaires were used to reveal insights in the self-assessment of emotional competence, risk perception, and feedback sensitivity. Emotional arousal and decision-making behavior were analyzed using linear mixed-effects models. Results: Results showed different effects of sex on risk behaviors in controls and ADHD. In contrast to healthy controls, female adults with ADHD showed a significantly greater risk engagement in the BART compared to males with ADHD. This contrary sex relation was not observed in skin conductance responses and revealed a significantly different sex-dependent correlation of body response and behavioral task performance in ADHD. Comparisons with results from self-assessments furthermore indicate a reduced behavioral self-perception in women with ADHD, but not in men. Conclusion: In summary, we found an altered interaction between physiological activity and risky behavior in women with ADHD. Thus, the present study indicates a reduced sensitivity towards the own bodily responses in women with ADHD, which could consequently cause increased risky DM behavior in daily life. The current results suggest that more consideration needs to be given to sex-specific effects on physiological processes and behavior in adults with ADHD. [ABSTRACT FROM AUTHOR]

Introduction: While abnormal responses to threat, including overgeneralization to conditioned fear, have been postulated to play a critical role in pathological anxiety, the relevance of previous findings to social anxiety disorder (SAD) is unclear. We investigated conditioned and generalized fear responses in patients with SAD using socially relevant stimuli. Methods: A total of 26 patients with SAD and 25 healthy controls participated in a fear conditioning and generalization paradigm consisting of two neutral faces as conditioned stimuli (CS+ or CS-) and an angry face with contemptuous comments as unconditioned stimuli. Eight morphed faces of two conditioned stimuli in each continuum were given to test generalization. Behavioral data and physiological responses were acquired. Results: Successful conditioning was observed in the risk ratings for both groups, while only a marginal indication of conditioning was noted in physiological measures. During the generalization phase, patients rated the risk higher than CS-when the stimuli close to CS- contained a portion of CS+ features. Larger skin conductance responses to this stimulus were linked to higher fear of negative evaluation. In addition, patients spent a longer time evaluating safe and ambiguous stimuli than healthy controls and exhibited consistently high levels of subjective arousal. Discussion: Taken together, our findings suggest that SAD patients may exhibit a tendency towards overgeneralization of fear responses and show distinct patterns in processing generalized threat stimuli compared to healthy controls. Even though overgeneralization was not evident in physiological measures, it is necessary to consider this behavioral characteristic in the clinical management of patients with SAD. [ABSTRACT FROM AUTHOR]

Simple Summary: The venoarteriolar reflex (VAR) consists of a local vasoconstriction occurring in response to an increase in venous transmural pressure. Its underlying mechanisms, including its impact on contralateral perfusion, still need clarification. In this study we assessed VAR in a group of healthy subjects by performing a unilateral limb dependency procedure. During dependency skin perfusion decreased significantly in both the dependent and the contralateral hands. Cutaneous sympathetic activity increased during dependency and upon returning to the initial position. These results corroborate previous reports that unilateral limb dependency impacts contralateral perfusion and suggest the participation of the sympathetic nervous system. This sympathetic activation seems to occur in response to the postural change itself and does not seem to be related to the VAR. The venoarteriolar reflex (VAR) is described as a vasoconstriction occurring in response to an increase in venous transmural pressure. Its underlying mechanisms are still not clarified, particularly the neural pathway that supposedly evokes this reflex. In addition, recent studies have shown that the postural maneuvers that evoke VAR also produce a decrease in contralateral perfusion, which is also poorly understood. Our study aimed to explore the contralateral response to unilateral upper limb dependency and its underlying mechanisms. Fifteen young, healthy subjects (24.1 ± 5.8 y.o.) participated in this study after giving informed consent. While seated, subjects remained for 7 min with both arms at heart level (baseline), after which a random hand was placed 40 cm below the heart level for 5 min (dependency) before resuming the initial position for another 7 min (recovery). Skin perfusion was assessed bilaterally with photoplethysmography, and electrodermal activity (EDA) was assessed in the contralateral hand. During hand dependency, perfusion decreased significantly in both limbs, although it was more pronounced in the dependent limb, corroborating previous reports that unilateral limb dependency evokes a decrease in contralateral perfusion. Transient EDA peaks were detected in the first seconds of the dependency and recovery phases. These results support the participation of the sympathetic nervous system as a mechanism regulating contralateral perfusion during unilateral limb dependency. This sympathetic activation is probably attributed to the postural changes themselves and is likely not related to the VAR. [ABSTRACT FROM AUTHOR]

(1) Background: This study examines the role of subjective anxiety (mathematics and spatial anxiety), along with physiological responses, in mathematics or math and mental rotation performance in 131 German primary school students (65 girls, 66 boys; Mean age = 8.73 years). (2) Method: Students' preference for math vs. German and their subjective anxiety were assessed using standardized questionnaires. Emotional reactivity was measured using the Galvanic Skin Response (GSR). Math performance was evaluated via percentage scored and completion times on number line estimation, word problems, and missing terms tasks. Spatial skills were assessed using a novel mental rotation task (nMRT) incorporating gender-congruent and -neutral stimuli. (3) Results: Girls outperformed boys on percentage scored on the math task but took longer to complete this. No gender differences were found in performance on the nMRT. Girls demonstrated higher math anxiety and were less likely to prefer math over German. Math anxiety predicted math scores and accuracy on the nMRT while gender predicted math performance and mental rotation response time. Subject preference was associated with longer completion times and emotional reactivity with longer response times. Girls' preference for math and lower emotional reactivity was linked to shorter completion times, while lower math anxiety predicted higher scores. In contrast, these factors did not affect boys' math performance. Additionally, subjective anxiety, emotional reactivity, or subject preference did not impact spatial performance for either gender. (4) Conclusions: Supporting mathematical self-efficacy and emotional regulation, especially in girls, is crucial for enhancing STEM outcomes in primary education. Gender-fair assessment in mental rotation reveals equitable spatial performance and reduces the impact of anxiety. [ABSTRACT FROM AUTHOR]

The aim of this study is to examine neuroscience studies and experimental procedures in the existing management literature to contribute to the development potential of neuromanagement. Neuromanagement has emerged as a new field, introducing experimental data to the literature within management sciences. Following a literature review conducted through the "Scopus", "PubMed", "Emerald", "Springer" and "Web of Science" databases, articles were organized in the MENDELEY reference management system. The study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, and the review included 17 experimental studies meeting the specified inclusion and extraction criteria with available full texts or extended abstracts. Results indicate that experimental studies in neuromanagement predominantly focus on organizational and behavioral issues such as "Motivation," "Leadership," "Job Evaluation/Performance," "Stress," and "Morality." Neurological measurements (EEG, Skin Conductance Response, SCR, and Heart Rate) were commonly employed, particularly in the context of different leadership styles. In our country, despite systematic, descriptive, and biometric studies conducted in the field of management during the specified research period, no experimental studies have been identified. Recognizing this gap in obtaining empirical data in management, it is believed that encouraging future experimental studies will enrich the management literature. This approach offers researchers a distinct perspective on designing experimental studies based on the examined experimental procedures. [ABSTRACT FROM AUTHOR]

Features of threatening cues and the associated context influence the perceived imminence of threat and the defensive responses evoked. To provide additional knowledge about how the directionality of a threat (i.e. directed-towards or away from the viewer) might impact defensive responses in humans, participants were shown pictures of a man carrying a gun (threat) or nonlethal object (neutral) directed-away from or towards the participant. Cardiac and electrodermal responses were collected. Compared to neutral images, threatening images depicting a gun directed-towards the participant induced sustained bradycardia and an increased electrodermal response, interpreted as immobility under attack. This defensive immobility reaction is evoked by high perceived threat and inescapable situations and indicates intense action preparation. Pictures of guns directed-away from the participant induced shorter bradycardia and no significant modulation of the electrodermal response compared to neutral pictures, which might be consistent with the perception of a less threatening situation. The results show that the directionality of threat stimuli is a key factor that prompts different patterns of defensive responses. [ABSTRACT FROM AUTHOR]

Physiological measures associated with emotional expressions have been used extensively in lab- and, more recently, digital-learning settings. However, the portable and ubiquitous nature of hardware that measures these physiological features makes them particularly useful in situations where you do not want the hardware to be too obtrusive, like in contexts of informal learning. In this proof-of-concept study, we apply skin conductance methods that measure Electrodermal Activity (EDA) to a family everyday activities context, in which a parent and their children, complete several science learning activities, while being recorded by both video and EDA hardware. We analyse the resulting data in three different ways: (i) a peak analysis in software recommended by the hardware provider, (ii) a conventional, qualitative microanalysis, and (iii) a method mainly used by econometricians to discover 'structural breaks' in time series data. We conclude that all three provide a piece of the overall puzzle, revealing up- and down-sides of each method. [ABSTRACT FROM AUTHOR]

Physiologically based stress detection systems have proven to be effective in identifying different stress conditions in the body to determine the source of stress and be able to counteract it. However, some stress conditions have not been widely studied, including thermal stress, cognitive stress, and combined (thermal–cognitive) stress conditions, which are frequently encountered in work or school environments. In order to develop systems to detect and differentiate these conditions, it is necessary to identify the physiological indicators that characterize each of them. The present research aims to identify which physiological indicators (heart rate, respiratory rate, galvanic skin response, and local temperature) could differentiate different stress conditions (no‐stress, cognitive stress, thermal stress, and combined (thermal–cognitive) stress conditions). Thirty participants were exposed to cognitive, thermal, and combined stress sources while recording their physiological signals. The findings indicate that both mean heart rate and mean galvanic skin response identify moderate thermal and cognitive stress conditions as distinct from a no‐stress condition, yet they do not differentiate between the two stress conditions. Additionally, heart rate uniquely identifies the cognitive–thermal stress condition, effectively distinguishing this combined stress condition from the singular stress conditions and the no‐stress condition. Mean local temperature specifically signals thermal stress conditions, whereas mean respiratory rate accurately identifies cognitive stress conditions, with both indicators effectively separating these conditions from each other and from the no‐stress condition. This is the first basis for differentiating thermal and cognitive stress conditions through physiological indicators. Different sources of stress (thermal and cognitive) generate different physiological responses in the body. Mean heart rate, mean local temperature, mean respiratory rate, and mean galvanic skin response allow to differentiate between different stress conditions in the body. Physiological indicators can be used to develop signal‐based detection systems to identify different stress conditions. [ABSTRACT FROM AUTHOR]

Fear conditioning, also termed threat conditioning, is a commonly used learning model with clinical relevance. Quantification of threat conditioning in humans often relies on conditioned autonomic responses such as skin conductance responses (SCR), pupil size responses (PSR), heart period responses (HPR), or respiration amplitude responses (RAR), which are usually analyzed separately. Here, we investigate whether inter-individual variability in differential conditioned responses, averaged across acquisition, exhibits a multi-dimensional structure, and the extent to which their linear combination could enhance the precision of inference on whether threat conditioning has occurred. In a mega-analytic approach, we re-analyze nine data sets including 256 individuals, acquired by the group of the last author, using standard routines in the framework of psychophysiological modeling (PsPM). Our analysis revealed systematic differences in effect size between measures across datasets, but no evidence for a multidimensional structure across various combinations of measures. We derive the statistically optimal weights for combining the four measures and subsets thereof, and we provide out-of-sample performance metrics for these weights, accompanied by bias-corrected confidence intervals. We show that to achieve the same statistical power, combining measures allows for a relevant reduction in sample size, which in a common scenario amounts to roughly 24%. To summarize, we demonstrate a one-dimensional structure of threat conditioning measures, systematic differences in effect size between measures, and provide weights for their optimal linear combination in terms of maximal retrodictive validity. [ABSTRACT FROM AUTHOR]

Virtual reality has emerged as a powerful tool for the design of immersive tourism experiences. Prior studies have primarily relied on externally produced 360-degree stimuli, with the potential to undermine causal inference among concepts and increase risk of flattening real-world responses. Consequently, building on design principles embedded in human–computer interaction, this paper draws on an exemplar of an iconic nature-based tourism destination to elucidate the process which underpins the development of 360-degree stimuli, with an emphasis on the manipulation of 'presence'. Emergent findings demonstrate the efficacy of a five-step procedure: (1) concept manipulation and location selection; (2) preliminary field filming; (3) expert evaluation and preliminary test; (4) re-filming and editing; and (5) confirmatory test. Physiological and self-report measures assessed the internal and external validity of the 360-degree stimuli, confirming the effectiveness of the manipulation. This research contributes to knowledge through the transfer of core principles from information technology and tourism into the design of immersive 360-degree stimuli to facilitate rigorous manipulation and multi-measurement in experimental design in tourism. Future research should focus on enhancing validity and reliability of internally produced immersive stimuli, overcoming methodological challenges with the design and manipulation of stimuli in tourism research. [ABSTRACT FROM AUTHOR]

Background: Type 2 diabetes mellitus (T2DM) poses a significant health-care challenge and is a primary contributor to both mortality and morbidity. Diabetic autonomic neuropathy (DAN) is a frequently occurring complication associated with diabetes mellitus. Autonomic nerve damage leading to cardiac autonomic dysfunction and peripheral sympathetic neuropathy can lead to changes in heart rate variability (HRV) and galvanic skin response (GSR), respectively. Aims and Objectives: The study was designed and done to evaluate the impact of T2DM on HRV and GSR for assessing DAN. Materials and Methods: A total of 100 individuals diagnosed with T2DM (cases) and 100 healthy individuals (controls) participated in this study. Physio Pac (PC-2004) was used to record the necessary data. Statistical analysis was performed using the non-parametric Mann--Whitney test to see the comparison of the cases and controls. In addition, to measure the statistical relationship between the duration of the disease and the HRV and GSR parameters, Spearman's rank correlation coefficient was utilized. The study received approval from the Ethical and Research Committee at the Government Medical College, Patiala. Results: Significant statistical differences were observed between the cases and controls in all time domain measures, as well as GSR and the majority of frequency domain measures of HRV. The correlation analysis revealed a strong association between the duration of T2DM and a decrease in HRV as well as an increase in GSR. Conclusion: The findings from the present study provide evidence that T2DM has an impact on HRV, which suggests the presence of cardiac autonomic neuropathy among diabetic patients, leading to an increased risk of cardiovascular morbidity. In addition, the study indicates that reduced sudomotor function, as assessed by galvanic skin response (GSR), serves as a predictive measure for autonomic neuropathy. Therefore, these tests can serve as valuable tools in facilitating the assessment of DAN. [ABSTRACT FROM AUTHOR]

This paper investigated whether arousal induced by background colour (warm or cool colours) affects consumer memory and responses. Three experiments were conducted. The results of Experiment 1 demonstrated that a warm background colour results in greater arousal level and superior memorability than a cool background colour does. In Experiment 2, we applied this notion to online shopping platform and confirmed the effect of colour on arousal and platform remembrance. Besides, platform attitude and patronage intention were found a significant difference under different background colours in Experiment 3. This study used a galvanic skin response device to measure arousal level because it is a more direct and objective means of measuring an individual's intuitional response. The findings have important implications for platform managers seeking to generate more orders by manipulating the background colour of an e-commerce website. [ABSTRACT FROM AUTHOR]

Strategic decision-making research has mainly relied on the values-based approach to culture. However, the dynamic constructivist approach to culture has shown that cultural tendencies may also be altered by contingency factors in the decision-making process itself. We theorize based on the appraisal tendency framework as well as the concept of cultural affordances that emotions, such as happiness, can alter the cultural dispositions of managers from Western and East Asian contexts. To test our hypotheses, we conduct a lab-in-the-field experiment with 187 executives from China and Germany, and measure emotions based on participants' psychophysiological skin conductance responses. Our results show that happiness moderates and can even reverse initial cultural dispositions in executives' strategic decision-making behavior. These findings suggest that emotions may be important contingency factors that can alter the initial cultural dispositions of decision makers in the strategy process. [ABSTRACT FROM AUTHOR]

This paper presents a Machine Learning and IoT-based intelligent medical system for the detection and monitoring of patient stress. This system is made up of a medical kit measuring the oxygen saturation, the heart rate and the galvanic skin response thanks to sensors attached at the top of the patient's hand which send the measured physiological values to the Firebase server. A voting classifier, combining five Machine Learning algorithms (Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Decision Tree and Random Forest) using holdout and K-fold cross-validation, was implemented on a Raspberry board installed in the doctor's office. The proposed system can make predictions with the Soft Voting classifier with an accuracy that reaches 78%. [ABSTRACT FROM AUTHOR]

Electrodermal lability is a trait-like measure of spontaneous sympathetic resting activity. In the present study, we addressed whether interindividual differences in this lability have an impact on the reaction time (RT) and on two physiological indicators of a goal-oriented sensorimotor preparation in a long-running, forewarned RT task (S1-S2 paradigm). The two indicators were the brain's contingent negative variation (CNV) and a heart rate deceleration (HRD). The interindividual differences were determined by counting spontaneous skin conductance fluctuations during a 5-min resting phase and dividing the subjects into two groups: individuals below (stable) and above (labile) the median of these fluctuations. In the task, labile individuals had a shorter RT compared with stable individuals and showed in the final phase of preparation in both physiological indicators the stronger response. Thus, lability-dependent effects in forewarned RT tasks cannot be explained by differences in stimulus-driven or passively controlled processes alone. Rather, goal-oriented, deliberately controlled processes that serve to adequately prepare for an imperative stimulus—the S2 in our paradigm—also must be considered to explain them. Labile individuals not only react faster than stable ones but also intentionally prepare themselves more appropriately for the imperative stimulus. A norepinephrine hypothesis focusing on the tonic activity of the locus coeruleus (LC) is proposed as an explanation for these and other lability-dependent effects. The frequency of spontaneous electrodermal fluctuations at rest may represent a peripheral, noninvasive, and easily measurable indicator of the baseline LC activity during wakefulness. [ABSTRACT FROM AUTHOR]

Objective: This study investigated the effects of different approach directions, movement speeds, and trajectories of a co-robot's end-effector on workers' mental stress during handover tasks. Background: Human–robot collaboration (HRC) is gaining attention in industry and academia. Understanding robot-related factors causing mental stress is crucial for designing collaborative tasks that minimize workers' stress. Methods: Mental stress in HRC tasks was measured subjectively through self-reports and objectively through galvanic skin response (GSR) and electromyography (EMG). Robot-related factors including approach direction, movement speed, and trajectory were analyzed. Results: Movement speed and approach direction had significant effects on subjective ratings, EMG, and GSR. High-speed and approaching from one side consistently resulted in higher fear, lower comfort, and predictability, as well as increased EMG and GSR signals, indicating higher mental stress. Movement trajectory affected GSR, with the sudden stop condition eliciting a stronger response compared to the constrained trajectory. Interaction effects between speed and approach direction were observed for "surprise" and "predictability" subjective ratings. At high speed, approach direction did not significantly differ, but at low speeds, approaching from the side was found to be more surprising and unpredictable compared to approaching from the front. Conclusion: The mental stress of workers during HRC is lower when the robot's end effector (1) approaches a worker within the worker's field of view, (2) approaches at a lower speed, or (3) follows a constrained trajectory. Application: The outcome of this study can serve as a guide to design HRC tasks with a low level of workers' mental stress. [ABSTRACT FROM AUTHOR]

Acute psychological stress (APS) is a complex and multifactorial phenomenon that affects metabolism, necessitating real-time detection and interventions to mitigate its effects on glycemia in people with type 1 diabetes. This study investigates the detection of APS using physiological variables measured by the Empatica E4 wristband and employs explainable machine learning to evaluate the importance of the physiological signals. The extreme gradient boosting model is developed for classification of APS and non-stress (NS) with weighted training, achieving an overall accuracy of 99.93%. The Shapley additive explanations (SHAP) technique is employed to interpret the global importance of the physiological signals, determining the order of importance for the variables from most to least as galvanic skin response (GSR), heart rate (HR), skin temperature (ST), and motion sensors (accelerometer readings). The increase in GSR and HR are positively correlated with the occurrence of APS as indicated by high positive SHAP values. The SHAP technique is also used to explain the local signal importance for particular instances of misclassified samples. The detection of APS can inform multivariable automated insulin delivery systems to intervene to counteract the APS-induced glycemic excursions in people with type 1 diabetes.

Telling a story to a disengaged recipient induces stress and threatens positive self-image. In this study, we investigated whether storytellers with overly positive and fragile self-images (e.g., individuals with grandiose and vulnerable narcissism) would show heightened behavioral, emotional, and psychophysiological reactivity to recipient disengagement.Building on Bavelas, Coates, and Johnson [1] we conducted a conversational experiment instructing the participants to tell about a "close call" experience to a previously unknown co-participant. We modified the co-participant's level of interactional engagement by asking them either to listen to the story carefully or to simultaneously carry out a counting task that distracted them from the content of the story. We found that the distraction condition was unrelated to the storytellers' narration performance, but a significant positive association was found between the story-recipients' observed lack of affiliation and the tellers' narration performance. The distraction of recipients was also associated with increased self-reported arousal in the tellers, indicating disengagement-induced stress in the tellers. Moreover, tellers higher in grandiose narcissism reacted with higher skin conductance response to disengagement, and vulnerable narcissism was associated with higher heart rate during narration in general. Our experiment thus showed that grandiose narcissists are emotionally sensitive to their co-participants' disengagement. [ABSTRACT FROM AUTHOR]