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Background: Video-based training has been widely adopted by private organizations and public authorities to educate occupants on various types of building emergencies. However, the effectiveness of video-based training for preparing occupants for building emergencies has not been rigorously studied nor has the impact of emergency type been investigated on training effectiveness. Objectives: This study examines whether video-based training is an effective method to prepare occupants for building emergencies and how the effectiveness differs in the context of different building emergencies. Methods: We simulated fire and active shooter emergencies in a virtual office building and conducted evacuation experiments to examine participants' emergency responses using both objective and subjective metrics. A total of 108 participants were recruited and responded to the fire or active shooter incident with or without video-based training. Results and Conclusions: The results revealed that participants with video-based training more often chose to follow other recommendations when responding to building emergencies instead of simply following others. Results from ANOVA showed that training increased participants' self-efficacy significantly, especially for those in the active shooter group. Moreover, participants in the active shooter simulation had a higher level of response efficacy than those in the fire emergency simulation. Our results also demonstrated the influence of emergency type on participants' final decisions and considerations of the recommendations. Implications: Our results suggested that video-based training is effective in improving participants' emergency preparedness and changing their behaviour patterns to a certain extent such as reducing following behaviour and encouraging safe evacuations. Additionally, statistically significant interactions between video-based training and emergency types suggested that training effectiveness should be considered in accordance with the emergency type.

Previous studies have solely focused on establishing Machine Learning (ML) models for automated detection of stress arousal. However, these studies do not recognize stress appraisal and presume stress is a negative mental state. Yet, stress can be classified according to its influence on individuals; the way people perceive a stressor determines whether the stress reaction is considered as eustress (positive stress) or distress (negative stress). Thus, this study aims to assess the potential of using an ML approach to determine stress appraisal and identify eustress and distress instances using physiological and behavioral features. The results indicate that distress leads to higher perceived stress arousal compared to eustress. An XGBoost model that combined physiological and behavioral features using a 30 second time window had 83.38% and 78.79% F1-scores for predicting eustress and distress, respectively. Gender-based models resulted in an average increase of 2-4% in eustress and distress prediction accuracy. Finally, a model to predict the simultaneous assessment of eustress and distress, distinguishing between pure eustress, pure distress, eustress-distress coexistence, and the absence of stress achieved a moderate F1-score of 65.12%. The results of this study lay the foundation for work management interventions to maximize eustress and minimize distress in the workplace. [ABSTRACT FROM AUTHOR]

Negotiation is a complex social interaction that encapsulates emotional encounters in human decision-making. Virtual agents that can negotiate with humans by the means of language are useful in pedagogy and conversational AI. To advance the development of such agents, we explore the role of emotion in the prediction of two important subjective goals in a negotiation – outcome satisfaction and partner perception. We devise ways to measure and compare different degrees of emotion expression in negotiation dialogues, consisting of emoticon, lexical, and contextual variables. Through an extensive analysis of a large-scale dataset in chat-based negotiations, we find that incorporating emotion expression explains significantly more variance, above and beyond the demographics and personality traits of the participants. Further, our temporal analysis reveals that emotive information from both early and later stages of the negotiation contributes to this prediction, indicating the need for a continual learning model of capturing emotion for automated agents. Finally, we extend our analysis to another dataset, showing promise that our findings generalize to more complex scenarios. We conclude by discussing our insights, which will be helpful for designing adaptive negotiation agents that interact through realistic communication interfaces. [ABSTRACT FROM AUTHOR]

Previous studies have primarily focused on predicting stress arousal, encompassing physiological, behavioral, and psychological responses to stressors, while neglecting the examination of stress appraisal. Stress appraisal involves the cognitive evaluation of a situation as stressful or non-stressful, and as a threat/pressure or a challenge/opportunity. In this study, we investigated several research questions related to the association between states of stress appraisal (i.e., boredom, eustress, coexisting eustress-distress, distress) and various factors such as stress levels, mood, productivity, physiological and behavioral responses, as well as the most effective ML algorithms and data signals for predicting stress appraisal. The results support the Yerkes-Dodson law, showing that a moderate stress level is associated with increased productivity and positive mood, while low and high levels of stress are related to decreased productivity and negative mood, with distress overpowering eustress when they coexist. Changes in stress appraisal relative to physiological and behavioral features were examined through the lenses of stress arousal, activity engagement, and performance. An XGBOOST model achieved the best prediction accuracies of stress appraisal, reaching 82.78% when combining physiological and behavioral features and 79.55% using only the physiological dataset. The small accuracy difference of 3% indicates that physiological data alone may be adequate to accurately predict stress appraisal, and the feature importance results identified electrodermal activity, skin temperature, and blood volume pulse as the most useful physiologic features. Implementing these models within work environments can serve as a foundation for designing workplace policies, practices, and stress management strategies that prioritize the promotion of eustress while reducing distress and boredom. Such efforts can foster a supportive work environment to enhance employee well-being and productivity. [ABSTRACT FROM AUTHOR]

This research pioneers the application of a machine learning framework to predict the perceived productivity of office workers using physiological, behavioral, and psychological features. Two approaches were compared: the baseline model, predicting productivity based on physiological and behavioral characteristics, and the extended model, incorporating predictions of psychological states such as stress, eustress, distress, and mood. Various machine learning models were utilized and compared to assess their predictive accuracy for psychological states and productivity, with XGBoost emerging as the top performer. The extended model outperformed the baseline model, achieving an R2 of 0.60 and a lower MAE of 10.52, compared to the baseline model's R2 of 0.48 and MAE of 16.62. The extended model's feature importance analysis revealed valuable insights into the key predictors of productivity, shedding light on the role of psychological states in the prediction process. Notably, mood and eustress emerged as significant predictors of productivity. Physiological and behavioral features, including skin temperature, electrodermal activity, facial movements, and wrist acceleration, were also identified. Lastly, a comparative analysis revealed that wearable devices (Empatica E4 and H10 Polar) outperformed workstation addons (Kinect camera and computer-usage monitoring application) in predicting productivity, emphasizing the potential utility of wearable devices as an independent tool for assessment of productivity. Implementing the model within smart workstations allows for adaptable environments that boost productivity and overall well-being among office workers. [ABSTRACT FROM AUTHOR]

Background: Video‐based training has been widely adopted by private organizations and public authorities to educate occupants on various types of building emergencies. However, the effectiveness of video‐based training for preparing occupants for building emergencies has not been rigorously studied nor has the impact of emergency type been investigated on training effectiveness. Objectives: This study examines whether video‐based training is an effective method to prepare occupants for building emergencies and how the effectiveness differs in the context of different building emergencies. Methods: We simulated fire and active shooter emergencies in a virtual office building and conducted evacuation experiments to examine participants' emergency responses using both objective and subjective metrics. A total of 108 participants were recruited and responded to the fire or active shooter incident with or without video‐based training. Results and Conclusions: The results revealed that participants with video‐based training more often chose to follow other recommendations when responding to building emergencies instead of simply following others. Results from ANOVA showed that training increased participants' self‐efficacy significantly, especially for those in the active shooter group. Moreover, participants in the active shooter simulation had a higher level of response efficacy than those in the fire emergency simulation. Our results also demonstrated the influence of emergency type on participants' final decisions and considerations of the recommendations. Implications: Our results suggested that video‐based training is effective in improving participants' emergency preparedness and changing their behaviour patterns to a certain extent such as reducing following behaviour and encouraging safe evacuations. Additionally, statistically significant interactions between video‐based training and emergency types suggested that training effectiveness should be considered in accordance with the emergency type. Lay Description: What is already known about this topic: People can behave differently in different types of building emergencies. Understanding human behaviours in building emergencies is essential for developing emergency preparedness strategies.Emergency training is important for building occupants and video is a widely used media for emergency training. However, its training effectiveness needs to be evaluated. What this paper adds: We used virtual environments to investigate evacuation behaviour.The effectiveness of video‐based training and human responses in building emergencies were studied on both subjective responses and objective measurements.Video‐based training significantly reduced the occurrence of following behaviours.The different natures of the fire emergency and active shooter incidents shape the effectiveness of video‐based training. Implications of study findings for practitioners: Video‐based training can improve building occupants' emergency preparedness to a certain extent.Emergency training media should be designed considering the influence of emergency type. [ABSTRACT FROM AUTHOR]

Teachers have used many different techniques in efforts to augment engagement given the strong engagement-learning link. Teacher-student contact is one of the most effective tools for fostering engagement; however, some teachers find it hard to initiate contact in a way that seems natural. I present one method of initiating student-teacher contact: replying individually by e-mail to students' concerns raised in one-minute papers. I argue that, although this technique may require a greater time-commitment, the effort is worthwhile; it allows teachers to gauge and address students' misunderstandings effectively, and, at the same time, it can help teachers to establish contact with students in large classes or with quieter students and even help uncertain teachers to establish contact in a natural way.

Feelings of belonging are closely linked to feelings of self-esteem. This article examines whether these feelings are regulated in a similar manner. Research on self-esteem maintenance shows that self-enhancement strategies are interchangeable; self-esteem threats in one domain instigate indirect self-affirmations in unrelated domains that effectively replace needs to directly address the original threats. From this perspective, when self-esteem threats arise from a lack of belonging, indirect self-affirmations should again be both preferred and effective. However, belonging regulation may be distinct from self-esteem regulation. From this belonging maintenance perspective, indirect affirmations that enhance esteem, but do not directly repair belonging, may be relatively less preferred and effective following belonging threats. Supporting the belonging maintenance perspective, four studies demonstrated that whereas intelligence threats tended to elicit indirect self-affirmations, belonging threats elicited relatively more direct self-affirmations. Furthermore, whereas indirect affirmation strategies effectively repaired intelligence threats they did not effectively repair belonging threats.

Social exclusion evokes powerful motivations and emotions. The present studies examined how these motivations and emotions might differ following exclusion that is explicit, active, and direct (i.e., when one is rejected) versus implicit, passive, and indirect (i.e., when one is ignored). It was hypothesized that being rejected should produce a sense of social loss and lead to more prevention-focused responses, including withdrawal from social contact, thoughts about actions one should not have taken, and increased feelings of agitation. In contrast, being ignored should produce a sense of failure to achieve social gain and lead to more promotion-focused responses, including reengagement in social contact, thoughts about actions one should have taken, and increased feelings of dejection. These hypotheses were supported across 4 studies in which people recalled or underwent experiences of being rejected or ignored. Past research on active versus passive exclusion is reexamined and found to be consistent with these hypotheses as well. Keywords: social exclusion, regulatory focus, counterfactual thinking, anxiety versus dejection

Despite the increased interest in automation and the expanded deployment of robots in the construction industry, using robots in a dynamic and unstructured working environment has caused safety concerns in operating construction robots. Improving human–robot interaction (HRI) can increase the adoption of robots on construction sites; for example, increasing trust in robots could help construction workers to accept new technologies. Confidence in operation (or self-efficacy), mental workload, and situational awareness are among other key factors that help such workers to remote operate robots safely. However, construction workers have very few opportunities to practice with robots to build trust, self-efficacy, and situational awareness, as well as resistance against increasing mental workload, before interacting with them on job sites. Virtual reality (VR) could afford a safer place to practice with the robot; thus, we tested if VR-based training could improve these four outcomes during the remote operation of construction robots. We measured trust in the robot, self-efficacy, mental workload, and situational awareness in an experimental study where construction workers remote-operated a demolition robot. Fifty workers were randomly assigned to either VR-based training or traditional in-person training led by an expert trainer. Results show that VR-based training significantly increased trust in the robot, self-efficacy, and situational awareness, compared to traditional in-person training. Our findings suggest that VR-based training can allow for significant increases in beneficial cognitive factors over more traditional methods and has substantial implications for improving HRI using VR, especially in the construction industry. [ABSTRACT FROM AUTHOR]

Stay-at-home mandates following the COVID-19 pandemic increased work from home (WFH). While WFH offers many benefits, navigating work in nontraditional contexts can be a challenge. The objective of this study was to explore the benefits and challenges of WFH during COVID-19 to identify supports and resources necessary. Comments from two free-response questions on a survey regarding experiences of WFH (N = 648, N = 366) were analyzed using inductive qualitative content analysis. Four themes emerged: time use, considerations of working in the home space, intersections between work-life and home-life, and temporality of WFH as situated within a pandemic. Across all themes were concerns related to participation in both work and home roles, work performance, and well-being. Findings highlight the importance of support during times of disruption of occupational patterns, roles, and routines. Despite challenges, many individuals hoped to continue WFH. Organizations should consider the complex intersections of work-life and home-life to develop supportive policies and resources. [ABSTRACT FROM AUTHOR]

BACKGROUND: With the COVID-19 pandemic, organizations embraced Work From Home (WFH). An important component of transitioning to WFH is the effect on workers, particularly related to their productivity and work experience. OBJECTIVES: The objective of this study is to examine how worker-, workspace-, and work-related factors affected productivity and time spent at a workstation on a typical WFH day during the pandemic. METHODS: An online questionnaire was designed and administered to collect the necessary information. Data from 988 respondents were included in the analyses. RESULTS: Overall perception of productivity level among workers did not change relative to their in-office productivity before the pandemic. Female, older, and high-income workers were likely to report increased productivity. Productivity was positively influenced by better mental and physical health statuses, having a teenager, increased communication with coworkers and having a dedicated room for work. Number of hours spent at a workstation increased by approximately 1.5 hours during a typical WFH day. Longer hours were reported by individuals who had school age children, owned an office desk or an adjustable chair, and had adjusted their work hours. CONCLUSION: The findings highlight key factors for employers and employees to consider for improving the WFH experience. [ABSTRACT FROM AUTHOR]

Negotiation is the complex social process by which multiple parties come to mutual agreement over a series of issues. As such, it has proven to be a key challenge problem for designing adequately social AIs that can effectively navigate this space. Artificial AI agents that are capable of negotiating must be capable of realizing policies and strategies that govern offer acceptances, offer generation, preference elicitation, and more. But the next generation of agents must also adapt to reflect their users' experiences. The best human negotiators tend to have honed their craft through hours of practice and experience. But, not all negotiators agree on which strategic tactics to use, and endorsement of deceptive tactics in particular is a controversial topic for many negotiators. We examine the ways in which deceptive tactics are used and endorsed in non-repeated human negotiation and show that prior experience plays a key role in governing what tactics are seen as acceptable or useful in negotiation. Previous work has indicated that people that negotiate through artificial agent representatives may be more inclined to fairness than those people that negotiate directly. We present a series of three user studies that challenge this initial assumption and expand on this picture by examining the role of past experience. This work constructs a new scale for measuring endorsement of manipulative negotiation tactics and introduces its use to artificial intelligence research. It continues by presenting the results of a series of three studies that examine how negotiating experience can change what negotiation tactics and strategies human endorse. Study #1 looks at human endorsement of deceptive techniques based on prior negotiating experience as well as representative effects. Study #2 further characterizes the negativity of prior experience in relation to endorsement of deceptive techniques. Finally, in Study #3, we show that the lessons learned from the empirical observations in Study #1 and #2 can in fact be induced--by designing agents that provide a specific type of negative experience, human endorsement of deception can be predictably manipulated. [ABSTRACT FROM AUTHOR]

Behavioral intervention strategies have yet to become successful in the development of initiatives to foster pro-environmental behaviors in buildings. In this paper, we explored the potentials of increasing the effectiveness of requests aiming to promote pro-environmental behaviors by engaging users in a social dialog, given the effects of two possible personas that are more related to the buildings (i.e., building vs. building manager). We tested our hypotheses and evaluated our findings in virtual and physical environments and found similar effects in both environments. Our results showed that social dialog involvement persuaded respondents to perform more pro-environmental actions. However, these effects were significant when the requests were delivered by an agent representing the building. In addition, these strategies were not equally effective across all types of people and their effects varied for people with different characteristics. Our findings provide useful design choices for persuasive technologies aiming to promote pro-environmental behaviors. [ABSTRACT FROM AUTHOR]

The current study examines cooperation and cardiovascular responses in individuals that were defected on by their opponent in the first round of an iterated Prisoner's Dilemma. In this scenario, participants were either primed with the emotion regulation strategy of reappraisal or no emotion regulation strategy, and their opponent either expressed an amused smile or a polite smile after the results were presented. We found that cooperation behavior decreased in the no emotion regulation group when the opponent expressed an amused smile compared to a polite smile. In the cardiovascular measures, we found significant differences between the emotion regulation conditions using the biopsychosocial (BPS) model of challenge and threat. However, the cardiovascular measures of participants instructed with the reappraisal strategy were only weakly comparable with a threat state of the BPS model, which involves decreased blood flow and perception of greater task demands than resources to cope with those demands. Conversely, the cardiovascular measures of participants without an emotion regulation were only weakly comparable with a challenge state of the BPS model, which involves increased blood flow and perception of having enough or more resources to cope with task demands. [ABSTRACT FROM AUTHOR]

The concept of health consciousness (HC), previously studied as a dispositional construct, holds promise for brief prevention training in work settings. The current study developed a more process‐oriented model of HC. Employer’s increasing concerns about worker prescription drug (Rx) misuse represents an opportunity to study and improve HC. Two pilot studies delivered a brief training program and assessed short‐term, pre‐ to post–self‐reports of factors related to HC. The first pilot (n = 162) attempted to evaluate a stress/resilience program (“Raw Coping Power”) that sought to improve worker ability to recognize and correct unhealthy coping behaviors. A second pilot (n = 114) attempted to evaluate an Rx misuse prevention program that sought to enhance awareness of HC as a protective factor. Both pilots used a driver analysis to examine correlates of improved HC. These correlates included increased confidence in one’s ability to evaluate risks, and awareness of healthy alternatives. Many employees also found the concept of HC useful. Previous writings about HC, in combination with current results, informed the design of a new, process‐oriented model of HC. The current paper offers this model and a driver analysis methodology that future researchers can use to further explore and more fully evaluate brief HC interventions in work settings. [ABSTRACT FROM AUTHOR]

Background: It is becoming more commonplace for employees to use prescription medication outside of intended use. Opioid and other prescription misuse has implications for the health and productivity of workers. Easy-to-access webinars that help employees learn about alternatives to prescription use may decrease risk.Objective: The aim of this study was to examine the efficacy of an interactive but brief health consciousness and prescription drug intervention for a diverse sample of employees and show effectiveness via both Internet-delivered webinar and classroom delivery.Methods: Employees from a variety of workplaces filled out pre- and post-questionnaires upon completion of a one-hour long intervention.Results: A total of 114 participants completed the pre- and post-questionnaires. Results showed that, compared with before the training, participants reported significantly more knowledge about prescription drug misuse and alternatives to prescription drug use after the training (t113=7.91, P<.001). Moreover, the medium of presentation (ie, face-to-face vs webinar) did not significantly impact effectiveness of the training (F1,98=1.15, P=.29).Conclusions: In both webinar and classroom formats, participants gained knowledge about alternatives to prescription drug use. This intervention appears to be beneficial to employees and assists in the awareness of prescription drug use in general and in the workplace. [ABSTRACT FROM AUTHOR]