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From birth, humans make decisions about what to look at and for how long. A classic framework proposes encoding as a key driver of looking behavior in development - in early stages of encoding, infants and young children prefer to engage with familiar stimuli, while at later stages of encoding they prefer novel stimuli. Though this framework is often invoked when interpreting looking time studies, it is rarely validated empirically. Here, we test these predictions by explicitly manipulating exposure durations within-subjects. While we found robust evidence for habituation and novelty preferences, limiting exposure to visual concepts did not result in familiarity preferences in any age group. Our findings suggest that limited exposure does not generically lead to familiarity preferences, and that interpretations of observed familiarity preferences should be made with care. We argue for the development of formal frameworks which link the learning problem faced by participants to their attentional preferences.

Virtual reality (VR) has been designated as the ‘ultimate empathy machine’ due to its alleged ability to powerfully immerse users in another’s perspective. As VR has attracted growing attention, criticism of its alleged ‘empathic superpowers' has also gained strength. Critics have recently argued that the empathic VR vision is ethically flawed since it is misleading and denies non-communicable aspects of the Other. Moreover, several scholars argue that VR empathy rhetoric in fact exploits the marginalised targets of empathy, turning them to objects ‘identity tourism’ for the privileged. The paper revisits these claims, arguing that they rely on empathy notions that are dominant in traditional art-media, while overlooking VR’s unique experiential affordances. Drawing on psychophysiological evidence, it argues that the ethical significance of VR lies in the unique ways in which it manipulates the user’s body scheme via multisensory stimulation. These manipulations result in unprecedented empathy-related perceptual and conceptual transformations whose ethical implications require new ethical framing.

Outsourcing has long been a strategy to decrease cost. Increasingly firms recognize the value in their supply chains and call on suppliers to innovate, both in products and processes. Innovation to increase quality and demand or to reduce costs is critical to firm and supply chain success. In a two-stage supply chain, we investigate the impact of focal firm and supplier innovation costs (and capabilities) on the type of outsourcing chosen and the resulting investments in process and product innovation. The focal firm determines whether to perform design (including product innovation in the form of quality enhancement) and manufacturing (including process innovation in the form of cost reduction) in-house, to outsource manufacturing/process innovation while insourcing design/product innovation, to outsource both manufacturing/process innovation and design/product innovation, or to codevelop product innovation while outsourcing manufacturing/process innovation. We also examine the conditions under which codevelopment is favorable, given the supply chain faces potential positive and negative synergies from either the colocation of the innovation activities or costs of collaboration. After characterizing the optimal outsourcing decision, we find that the decision to outsource is more nuanced than simply which activities to outsource but must include options to collaborate on particular activities and specifically product innovation. We offer the insight to managers that codevelopment, despite the costs of collaboration, can benefit the firm and result in higher profits. This occurs through the improvement of demand via higher quality products.

Response to: Blumberg, M. S., & Adolph, K. E. (2023). Protracted development of motor cortex constrains rich interpretations of infant cognition. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2022.12.014

Socio‐emotional encounters involve a resonance of others' affective states, known as affect sharing (AS); and attribution of mental states to others, known as theory‐of‐mind (ToM). Empathy necessitates the integration of both processes, yet their interaction during emotional episodes and subsequent generation of inferences on others' affective states has rarely been tested. To address this, we developed a novel experimental design, wherein we manipulated AS by presenting nonverbal emotionally negative movies twice—each time accompanied by one of two soundtracks that accentuated either somatic cues or externally generated sounds. Movies were followed by questions addressing affective‐ToM (emotional inferences), cognitive‐ToM (inferences on beliefs and knowledge), and non‐ToM aspects. Results revealed a neural differentiation between AS, affective‐ToM, and cognitive‐ToM. AS movies activated regions that have been implicated in emotional (e.g., amygdala) and somatosensory processing, and synchronized brain activity between participants in the latter. Affective‐ToM activated the middle insula, limbic regions, and both ventral and dorsal portions of the medial prefrontal cortex (ventral medial prefrontal cortex [VMPFC] and dorsal medial prefrontal cortex [DMPFC], respectively), whereas cognitive‐ToM activated posteromedial and lateral–prefrontal and temporal cortices. Critically, AS movies specifically altered neural activation in AS and ToM‐related regions during subsequent affective‐ToM inferences, most notably in the DMPFC. Moreover, DMPFC–VMPFC connectivity correlated with affective‐ToM accuracy, when such questions followed AS movies. Our results associate empathic processes with designated neural activations and shed light on how neuro‐behavioral indices of affective ToM are shaped by preceding somatic engagement., We present a novel empathy paradigm that probes different empathic processes by presenting movies with high versus low accentuation of somatic cues, which are then followed by theory‐of‐mind and control questions. We show that brain activity in empathy‐related networks is specifically altered when people think about others' affective state after watching highly somatic movies.

Randomised assignment of individuals to treatment and controls groups is often considered the gold standard to draw valid conclusions about the efficacy of an intervention. In practice, randomisation can lead to accidental differences due to chance. Researchers have offered alternatives to reduce such differences, but these methods are not used frequently due to the requirement of advanced statistical methods. Here, we recommend a simple assignment procedure based on variance minimisation (VM), which assigns incoming participants automatically to the condition that minimises differences between groups in relevant measures. As an example of its application in the research context, we simulated an intervention study whereby a researcher used the VM procedure on a covariate to assign participants to a control and intervention group rather than controlling for the covariate at the analysis stage. Among other features of the simulated study, such as effect size and sample size, we manipulated the correlation between the matching covariate and the outcome variable and the presence of imbalance between groups in the covariate. Our results highlighted the advantages of VM over prevalent random assignment procedure in terms of reducing the Type I error rate and providing accurate estimates of the effect of the group on the outcome variable. The VM procedure is valuable in situations whereby the intervention to an individual begins before the recruitment of the entire sample size is completed. We provide an Excel spreadsheet, as well as scripts in R, MATLAB, and Python to ease and foster the implementation of the VM procedure. Supplementary Information The online version contains supplementary material available at 10.3758/s13423-021-01970-5.

Scientific investigations have long emphasized the cortex’s role in cognitive transfer and arithmetic abilities. To date, however, this assumption has not been thoroughly empirically investigated. Here we demonstrated that primitive mechanisms—lower visual channels—have a causal role in cognitive transfer of complex skills such as symbolic arithmetic. We found that exposing only one monocular channel to a visuospatial training resulted in a larger transfer effect in the trained monocular channel compared to the untrained monocular channel. Such cognitive transfer was found for both novel figural-spatial problems (near transfer) and novel subtraction problems (far transfer). Importantly, the benefits of the trained eye were not observed in old problems and in other tasks that did not involve visuospatial abilities (the Stroop task, a multiplication task). These results challenge the exclusive role of the cortex in cognitive transfer and complex arithmetic. In addition, the results suggest a new mechanism for the emergence of cognitive skills, that could be shared across different species.

Technological advances in psychological research have enabled large-scale studies of human behavior and streamlined pipelines for automatic processing of data. However, studies of infants and children have not fully reaped these benefits because the behaviors of interest, such as gaze duration and direction, still have to be extracted from video through a laborious process of manual annotation, even when these data are collected online. Recent advances in computer vision raise the possibility of automated annotation of these video data. In this article, we built on a system for automatic gaze annotation in young children, iCatcher, by engineering improvements and then training and testing the system (referred to hereafter as iCatcher+) on three data sets with substantial video and participant variability (214 videos collected in U.S. lab and field sites, 143 videos collected in Senegal field sites, and 265 videos collected via webcams in homes; participant age range = 4 months–3.5 years). When trained on each of these data sets, iCatcher+ performed with near human-level accuracy on held-out videos on distinguishing “LEFT” versus “RIGHT” and “ON” versus “OFF” looking behavior across all data sets. This high performance was achieved at the level of individual frames, experimental trials, and study videos; held across participant demographics (e.g., age, race/ethnicity), participant behavior (e.g., movement, head position), and video characteristics (e.g., luminance); and generalized to a fourth, entirely held-out online data set. We close by discussing next steps required to fully automate the life cycle of online infant and child behavioral studies, representing a key step toward enabling robust and high-throughput developmental research.

Technological advances in psychological research have enabled large-scale studies of human behavior and streamlined pipelines for automatic processing of data. However, studies of infants and children have not fully reaped these benefits, because the behaviors of interest, such as gaze duration and direction, even when collected online, still have to be extracted from video through a laborious process of manual annotation. Recent advances in computer vision raise the possibility of automated annotation of this video data. In this paper, we built on a system for automatic gaze annotation in young children, iCatcher (Erel et al., 2022), by engineering improvements, and then training and testing the system (hereafter, iCatcher+) on three datasets with substantial video and participant variability (214 videos collected in United States lab and field sites, 143 videos collected in Senegal field sites, and 265 videos collected via webcams in homes; participants aged 4 months-3.5 years). When trained on each of these datasets, iCatcher+ performed with near human-level accuracy on held-out videos on distinguishing “LEFT” versus “RIGHT”, and “ON” versus “OFF” looking behavior, across all datasets. This high performance was achieved at the level of individual frames, experimental trials, and study videos, held across participant demographics (e.g., age, race/ethnicity), participant behavior (e.g., movement, head position) and video characteristics (e.g., luminance), and generalized to a fourth, entirely held-out online dataset. We close by discussing next steps required to fully automate the lifecycle of online infant and child behavioral studies, representing a key step towards enabling rapid, high-powered developmental research.

A common view of learning in infancy emphasizes the role of incidental sensory experiences from which increasingly abstract statistical regularities are extracted. In this view, infant brains initially support basic sensory and motor functions, followed by maturation of higher-level association cortex. Here, we critique this view and posit that, by contrast and more like adults, infants are active, endogenously motivated learners who structure their own learning through flexible selection of attentional targets and active interventions on their environment. We further argue that the infant brain, and particularly the prefrontal cortex (PFC), is well equipped to support these learning behaviors. We review recent progress in characterizing the function of the infant PFC, which suggests that, as in adults, the PFC is functionally specialized and highly connected. Together, we present an integrative account of infant minds and brains, in which the infant PFC represents multiple intrinsic motivations, which are leveraged for active learning.

Virtual reality (VR) has been designated as the "ultimate empathy machine" due to its alleged ability to powerfully immerse users in another's perspective. As VR has attracted growing attention, criticism of its alleged 'empathic superpowers' has also gained strength. Critics have recently argued that the empathic-VR vision is ethically flawed since it is misleading and denies non-communicable aspects of the Other. Moreover, several scholars argue that VR empathy rhetoric in fact exploits the marginalized targets of empathy, turning them to objects "identity tourism" for the privileged. The paper revisits these claims, arguing that they rely on empathy notions that are dominant in traditional art-media, while overlooking VR's unique experiential affordances. Drawing on psychophysiological evidence, it argues that the ethical significance of VR lies in the unique ways in which it manipulates the user's body scheme via multisensory stimulation. These manipulations result in unprecedented empathy-related perceptual and conceptual transformations whose ethical implications require new ethical framing.

Prediction is a fundamental process in human cognition. Prediction means extracting one or more statistics from the distribution of past inputs and using that information to make a decision. What are the statistics underlying human predictions, and how do they change with training? To investigate these questions, we designed a sequence termination task, where participants watch temporally unfolding sequences and terminate them when they can predict the next item. We then test how well the participants’ termination points are predicted by computational models. We contrast frequency estimation models (How often did this symbol appear in the sequence?), transition models (How often did symbol A follow symbol B?), and a chunking model (What are the patterns of symbols?). In an online experiment with 65 adults, we find that participants are best fit by a transition-counting model. To assess the effect of training, we manipulated passive exposure to the sequences prior to the sequence termination task. Contrary to our expectations, prior exposure to sequences had no effect on termination performance– whether tested statistically or computationally, and despite good power. Lastly, training specifically on the termination task may shift responses towards chunking. These results provide insight into the representations, or information in mind, behind prediction. However, the lack of an effect of prior exposure makes it clear that sequence termination measures explicit, or conscious, prediction. Future work could examine whether representations in explicit prediction tasks like sequence termination are different from implicit, or unconscious, tasks like the serial reaction time task.

A hallmark of aging is loss of differentiated cell identity. AgedDrosophilamidgut differentiated enterocytes (ECs) lose their identity, impairing tissue homeostasis. To discover identity regulators, we performed an RNAi screen targeting ubiquitin-related genes in ECs. Seventeen genes were identified, including the deubiquitinase Non-stop (CG4166). Lineage tracing established that acute loss of Non-stop in young ECs phenocopies aged ECs at cellular and tissue levels. Proteomic analysis unveiled that Non-stop maintains identity as part of a Non-stop identity complex (NIC) containing E(y)2, Sgf11, Cp190, (Mod) mdg4, and Nup98. Non-stop ensured chromatin accessibility, maintaining the EC-gene signature, and protected NIC subunit stability. Upon aging, the levels of Non-stop and NIC subunits declined, distorting the unique organization of the EC nucleus. Maintaining youthful levels of Non-stop in wildtype aged ECs safeguards NIC subunits, nuclear organization, and suppressed aging phenotypes. Thus, Non-stop and NIC, supervise EC identity and protects from premature aging.

Do toddlers and adults engage in spontaneous Theory of Mind (ToM)? Evidence from anticipatory looking (AL) studies suggests that they do. But a growing body of failed replication studies raised questions about the paradigm’s suitability. In this multi-lab collaboration, we test the robustness of spontaneous ToM measures. We examine whether 18- to 27-month-olds’ and adults’ anticipatory looks distinguish between two basic forms of an agent’s epistemic states: knowledge and ignorance. In toddlers [ANTICIPATED n = 520 50% FEMALE] and adults [ANTICIPATED n = 408, 50% FEMALE] from diverse ethnic backgrounds, we found [SUPPORT/NO SUPPORT] for epistemic state-based action anticipation. Future research can probe whether this conclusion extends to more complex kinds of epistemic states, such as true and false beliefs.

SummaryA hallmark of aging is the inability of differentiated cells to maintain their identity. In the agedDrosophilamidgut differentiated enterocytes (ECs) lose their identity, and the integrity of the midgut tissue and its homeostasis are impaired. To discover regulators of EC identity relevant to aging we performed an RNAi screen targeting 453 ubiquitin-related genes in fully differentiated ECs. Seventeen genes were identified, including the de-ubiquitinase Non-stop (Not/dUSP22; CG4166). Acute loss of Non-stop in young ECs phenotypically resembled aged ECs. Lineage tracing experiments established that Non-stop-deficient young ECs as well as wild-type aged ECs are no longer differentiated. Aging or acute loss of Non-stop also resulted in progenitor cell hyperproliferation and mis-differentiation, loss of gut integrity, and reduced organismal survival. Proteomic analysis unveiled that Non-stop maintains identity as part of a Non-stop identity complex (NIC) that contains E(y)2, Sgf11, Cp190, (Mod) mdg4, and Nup98. Transcriptionally, Non-stop ensured chromatin accessibility at EC genes, maintained an EC-specific gene expression signature, and silenced non-EC-relevant transcriptional programs. Within the NIC, Non-stop was required for stabilizing of NIC subunits. Upon aging, the levels of Non-stop and NIC subunits declined, and the large-scale organization of the nucleus was distorted. Maintaining youthful levels of Non-stop in wildtype aged ECs safeguarded the protein level of NIC subunits, restored the large-scale organization of the differentiated nucleus, and suppressed aging phenotypes and tissue integrity. Thus, the isopeptidase Non-stop, and NIC, supervise EC identity and protects from premature aging.