Eric Mayor, PhD

Abstract For the entirety of human history, tools remained subordinate to people and their functioning was perfectly understandable to their makers. In a span of just a few years, Large Language Models have begun to speak, reason, persuade, and build interpersonal closeness more effectively than many people. Agentic systems now autonomously organize complex workflows, enable decisions at a pace and scale never achieved. As aging populations drive labor shortages, societies are turning to these systems not out of simple economic advantage and convenience, but necessity. AI systems are no longer simple tools. They have become entities, for which no current category adequately encompasses the abilities. This book confronts the ontological dilemma this shift has created. It examines the transformative cognitive and social abilities of current AI. It presents the accelerating deployment of LLMs and autonomous agents. It examines the risks that already accompany them. The book further proposes three foundations towards the production of governance frameworks: behavioral primacy and transparency-driven accountability, epistemic humility and scientific enquiry, and adaptive and proactive governance. The decisions we make now will determine whether advanced AI remains a subordinate instrument of human flourishing or becomes something far more consequential. Close

Abstract The use of chatbots for mental health is now frequently discussed as a means to increase access to mental health resources. For this scoping review of reviews on chatbots for mental health, we performed a systematic search of the literature on Scopus, Web of Science, PubMed and Dimensions.ai and identified 14 relevant reviews published in scientific journals which identified publications following a systematic search of two or more databases. Three additional relevant reviews were included following forward and backward reference examination. The 17 included reviews are: eight systematic reviews (three with meta-analysis), seven scoping reviews and two unlabeled reviews. We have summarized the scope of the reviews as well as their findings. Most reviews included at least one study with 15 participants or fewer. Few reviews report a significant proportion of randomized controlled trials and some original publications most of the time report on piloting studies. Overall, the reviews examine the opinions of users of chatbots, the features of chatbots, the outcomes and measures in studies relying on chatbots, the effectiveness of chatbots (particularly the meta-analyses) in alleviating mental disorder symptomatology as well as their potential for the assessment of mental health. The use of machine learning and natural language processing frameworks (Dialogflow, RASA) seems to drive an increasing number of studies of chatbots for mental health, but progress is necessary in several areas affecting interaction dynamics. Close

Abstract Background Individuals with mental disorders frequently use YouTube to express themselves, reach an audience, or as a means of understanding their condition. Testimonies posted on YouTube provide longer and richer perspectives than the short posts found on other social media platforms. Research focusing on the depiction of mental disorders on YouTube is blossoming. Bipolar disorders (BDs) are disabling mood disorders. The diagnosis of any mental disorder, and more so BD, is often a life-changing event. However, no published study has investigated the portrayal of diagnoses of BD on YouTube. Objective This study aims to investigate the portrayals of BDs on YouTube, focusing on the diagnosis narratives and their accompanying narrative context, in particular, reports of personal experiences and reactions. Methods We performed a manual content analysis of 39 testimonies (women: n=24, 62%) depicting BDs and their diagnosis by individuals with BD. We also performed a thematic analysis of the corpus relying upon a deductive and inductive approach. Results Our manual content analysis revealed that portrayals included the disclosure of diagnoses of BD-I (as per both coders’ agreement: 10 testimonies) and BD-II (11 testimonies) to a similar extent. The reactions to the diagnosis were mostly negative (8 testimonies), followed by positive (5 testimonies), while fewer portrayals indicated a denial of the condition (4 testimonies). Several portrayals made mention of issues in the areas of money and accommodation (15 testimonies), profession and education (13 testimonies), and relationships (20 testimonies). Medication (31 testimonies) and psychotherapy (23 testimonies) were often mentioned as part of treatment for BD, most generally in positive terms. The 8 themes emerging from the thematic analysis were: “reactions on diagnosis, treatment, and health care professionals’ expertise,” “trial and error in medication,” “positive effects of BD,” “disability, stigma, and shame,” “loss,” “family planning and genetics,” “identity change (psychological and physical),” and “human social relationships.” Conclusions Overall, our results underline the complexity and richness of the depiction of the diagnosis of BD and its narrative context, and highlight the importance of the moment of the diagnosis, medication, and psychotherapy. Our study emphasizes the need for further exploration of the impact of social media on mental health awareness. Close

Abstract AbstractLarge language models (LLMs) can emulate many aspects of human cognition and have been heralded as a potential paradigm shift. They are proficient in chat‐based conversation, but little is known about their ability to simulate spoken conversation. We investigated whether LLMs can simulate spoken human conversation. In Study 1, we compared transcripts of human telephone conversations from the Switchboard (SB) corpus to six corpora of transcripts generated by two powerful LLMs, GPT‐4 and Claude Sonnet 3.5, and two open‐source LLMs, Vicuna and Wayfarer, using different prompts designed to mimic SB participants’ instructions. We compared LLM and SB conversations in terms of alignment (conceptual, syntactic, and lexical), coordination markers, and coordination of openings and closings. We also documented qualitative features by which LLM conversations differ from SB conversations. In Study 2, we assessed whether humans can distinguish transcripts produced by LLMs from those of SB conversations. LLM conversations exhibited exaggerated alignment (and an increase in alignment as conversation unfolded) relative to human conversations, different and often inappropriate use of coordination markers, and were dissimilar to human conversations in openings and closings. LLM conversations did not consistently pass for SB conversations. Spoken conversations generated by LLMs are both qualitatively and quantitatively different from those of humans. This issue may evolve with better LLMs and more training on spoken conversation, but may also result from key differences between spoken conversation and chat. Close

Abstract This article presents the results of a psychometric evaluation and initial validation of the French version of the Experiences Questionnaire (EQ-F), a self-report measure of decentering. Decentering is the ability to maintain a detached stance toward one's thoughts and emotions and is related to adaptive psychological functioning. Study 1 explored the EQ-F's factor structure and construct validity in a nonclinical population. Study 2 evaluated the construct validity of the EQ-F in an intervention design. Confirmatory factor analysis supported a one-factor model of the original measure. The construct validity of the EQ-F was supported by positive correlations with mindfulness and adaptive cognitive emotion regulation strategies and negative associations with cognitive fusion, experiential avoidance, stress, anxiety, depression symptoms, and maladaptive cognitive emotion regulation strategies. Furthermore, construct validity was demonstrated by pre–post changes in decentering in a mindfulness-based intervention. EQ-F can be used as a valid measure of decentering in French. Close

Abstract Maladaptive personality, the motivational systems, and intolerance of uncertainty play important roles in the statistical explanation of depression and anxiety. Here, we notably examined for the first time whether symptoms of depression, anxiety, health anxiety, and fear of COVID-19 share similar associations (e.g., variance explained) with these important dispositional dimensions. For this cross-sectional study, data from 1001 participants recruited in Germany (50% women; mean age = 47.26) were collected. In separate models, we examined the cross-sectional associations of the symptoms of depression, anxiety, health anxiety, and fear of COVID-19 with the Personality Inventory for DSM Short Form Plus scales, the Behavioral Inhibition System / Flight–Fight–Freeze System / Behavioral Activation System scales, and Intolerance of Uncertainty scales. Relative weight analyses were used to determine the within-model importance of the different scales in the prediction of the symptoms. All in all, our study showed that maladaptive personality and intolerance of uncertainty dimensions are more important sets of predictors of the studied outcomes (with which depressive and anxious symptomatology feature very similar associations) than are the motivational system dimensions. Within predictor sets, the scales with the most important predictors were: Negative Affectivity, the Behavioral Inhibition System, and Burden due to Intolerance of Uncertainty. Our findings highlight the relevance of focusing behavioral targets of psychotherapy on these within-set traits and identify potential research priorities (maladaptive personality and intolerance of uncertainty) in relation to the symptoms of interest. Close

Abstract Structured interviews often feature past‐behavior questions, where applicants are asked to tell a story about past work experience. Applicants often experience difficulties producing such stories. Automatic analyses of applicant behavior in responding to past‐behavior questions may constitute a basis for delivering feedback and thus helping them improve their performance. We used machine learning algorithms to predict storytelling in transcribed speech of participants responding to past‐behavior questions in a simulated selection interview. Responses were coded as to whether they featured a story or not. For each story, utterances were also manually coded as to whether they described the situation, the task/action performed, or results obtained. The algorithms predicted whether a response features a story or not (best accuracy: 78%), as well as the count of situation, task/action, and response utterances. These findings contribute to better automatic identification of verbal responses to past‐behavior questions and may support automatic provision of feedback to applicants about their interview performance. Close

Abstract Conversational remembering entails that people engage in recalling past experiences, which may themselves have been shared. Conversational remembering comes with social benefits for the person telling the narrative and the one receiving it (e.g., developing and strengthening friendships, fostering entertainment, and consolidating group identity). COVID-19 lockdowns have significantly affected social interaction, including face-to-face interactions where conversational remembering occurs. The aim of this study was to explore how WhatsApp group messages supported conversational remembering in a large group of friends living in Buenos Aires where a complete lockdown was established between 19 March 2020 and 6 November 2020. To accomplish such aim, we conducted a mixed-methods longitudinal study. The data consisted of 32,810 WhatsApp group messages collected over a period of 700 consecutive days, from 13 April 2019 to 13 March 2021. Our study shows that WhatsApp group messages enabled group members to keep connected during the COVID-19 lockdown period. This occurred by remembering together situations, events, and actions associated with the group's identity. The use of WhatsApp group messages may have represented an adaptive collective behaviour in response to changes in global social norms. Close

Abstract In the last decades, important progress has been achieved in the understanding of the neurotrophic effects of intermittent fasting (IF), calorie restriction (CR) and exercise. Improved neuroprotection, synaptic plasticity and adult neurogenesis (NSPAN) are essential examples of these neurotrophic effects. The importance in this respect of the metabolic switch from glucose to ketone bodies as cellular fuel has been highlighted. More recently, calorie restriction mimetics (CRMs; resveratrol and other polyphenols in particular) have been investigated thoroughly in relation to NSPAN. In the narrative review sections of this manuscript, recent findings on these essential functions are synthesized and the most important molecules involved are presented. The most researched signaling pathways (PI3K, Akt, mTOR, AMPK, GSK3β, ULK, MAPK, PGC-1α, NF-κB, sirtuins, Notch, Sonic hedgehog and Wnt) and processes (e.g., anti-inflammation, autophagy, apoptosis) that support or thwart neuroprotection, synaptic plasticity and neurogenesis are then briefly presented. This provides an accessible entry point to the literature. In the annotated bibliography section of this contribution, brief summaries are provided of about 30 literature reviews relating to the neurotrophic effects of interest in relation to IF, CR, CRMs and exercise. Most of the selected reviews address these essential functions from the perspective of healthier aging (sometimes discussing epigenetic factors) and the reduction of the risk for neurodegenerative diseases (Alzheimer’s disease, Huntington’s disease, Parkinson’s disease) and depression or the improvement of cognitive function. Close

Abstract Sentiment analysis is the automated coding of emotions expressed in text. Sentiment analysis and other types of analyses focusing on the automatic coding of textual documents are increasingly popular in psychology and computer science. However, the potential of treating automatically coded text collected with regular sampling intervals as a signal is currently overlooked. We use the phrase "text as signal" to refer to the application of signal processing techniques to coded textual documents sampled with regularity. In order to illustrate the potential of treating text as signal, we introduce the reader to a variety of such techniques in a tutorial with two case studies in the realm of social media analysis. First, we apply finite response impulse filtering to emotion-coded tweets posted during the US Election Week of 2020 and discuss the visualization of the resulting variation in the filtered signal. We use changepoint detection to highlight the important changes in the emotional signals. Then we examine data interpolation, analysis of periodicity via the fast Fourier transform (FFT), and FFT filtering to personal value-coded tweets from November 2019 to October 2020 and link the variation in the filtered signal to some of the epoch-defining events occurring during this period. Finally, we use block bootstrapping to estimate the variability/uncertainty in the resulting filtered signals. After working through the tutorial, the readers will understand the basics of signal processing to analyze regularly sampled coded text. Close

Abstract Abstract Background The COVID-19 pandemic has caused numerous casualties, overloaded hospitals, reduced the wellbeing of many and had a substantial negative economic impact globally. As the population of the United Kingdom was preparing for recovery, the uncertainty relating to the discovery of the new Omicron variant on November 24 2021 threatened those plans. There was thus an important need for sensemaking, which could be provided, partly, through diffusion of information in the press, which we here examine. Method We used topic modeling, to extract 50 topics from close to 1,500 UK press articles published during a period of approximately one month from the appearance of Omicron. We performed ANOVAs in order to compare topics between full weeks, starting on week 48 of 2021. Results The three topics documenting the new variant (Omicron origins, Virus mutations, News of a new variant) as well as mentions of vaccination excluding booster, Scotlands First minister statement (Communications) travel bans and mask wearing (Restrictions) and the impact of market and investing (Domains and events) decreased through time (all ps < .01). Some topics featured lower representation at week two or three with higher values before and after: Government’s Scientific Advisory Group for Emergencies recommendations (Communications), Situation in the US, Situation in Europe (Other countries and regions), all ps < .01. Several topics referring to symptoms and cases—e.g., rises of infections, hospitalisations, the pandemic the holidays, mild symptoms and care; restrictions and measures—e.g., financial help, Christmas and Plan B, restrictions and New Year; and domains of consequences and events—e.g., such as politics, NHS and patients, retail sales and airlines, featured increasing representation, (all ps < .01). Other topics featured less regular or non-significant patterns. Conclusion. Changes in sensemaking in the press closely matched the changes in the official discourse relating to Omicron and reflects the trajectory of the infection and its local consequences. Close

Abstract People sometimes assert that a powerful group's secret, malign efforts are responsible for bad outcomes even with scant evidence to accept this belief over more plausible explanations. Psychologists' recent interest to understand the consequences of conspiracy beliefs and the antecedent factors that incline people to hold them has made this a rapidly growing research area, especially now as we grapple with the implications of conspiracy theories that are prevalent in public discourse about pressing concerns such as the COVID-19 pandemic. The five articles from this Research Topic represent the key focus of recent conspiracy belief research, which is to understand why people hold conspiracy beliefs and how these beliefs affect their thinking and behavior. As a whole, the articles synthesize past literature on conspiracy beliefs, provide new scientific evidence of their antecedents as well as examples of their important societal consequences, and suggest directions for further research on conspiracy beliefs. Close

Abstract The COVID-19 pandemic has been repeatedly associated with poor mental health. Previous studies have mostly focused on short time frames such as around the first lockdown periods, and the majority of research is based on self-report questionnaires. Less is known about the fluctuations of psychological states over longer time frames across the pandemic. Twitter timelines of 4,735 users from London and New York were investigated to shed light on potential fluctuations of several psychological states and constructs related to the pandemic. Moving averages are presented for the years 2020 and 2019. Further, mixed negative binomial regression models were fitted to estimate monthly word counts for the time before and during the pandemic. Several psychological states and constructs fluctuated heavily on Twitter during 2020 but not during 2019. Substantial increases in levels of sadness, anxiety, anger, and concerns about home and health were observed around the first lockdown periods in both cities. The levels of most constructs decreased after the initial spike, but negative emotions such as sadness, anxiety, and anger remained elevated throughout 2020 compared to the year prior to the pandemic. Tweets from both cities showed remarkably similar temporal patterns, and there are similarities to reactions found on Twitter following other previous traumatic events. Close

Abstract We report on the first investigation of large-scale temporal associations between emotions expressed in online news media and those expressed on social media (Twitter). This issue has received little attention in previous research, although the study of emotions expressed on social media has bloomed owing to its importance in the study of mental health at the population level. Relying on automatically emotion-coded data from almost 1 million online news articles on disease and the coronavirus and more than 6 million tweets, we examined such associations. We found that prior changes in generic emotional categories (positive and negative emotions) in the news on the topic of disease were associated with lagged changes in these categories in tweets. Discrete negative emotions did not robustly feature this pattern. Emotional categories coded in online news stories on the coronavirus generally featured weaker and more disparate lagged associations with emotional categories coded in subsequent tweets. Close

Abstract The study of temporal trajectories of emotions shared in tweets has shown that both positive and negative emotions follow nonlinear circadian (24 h) and circaseptan (7-day) patterns. But to this point, such findings could be instrument-dependent as they rely exclusively on coding using the Linguistic Inquiry Word Count. Further, research has shown that self-referential content has higher relevance and meaning for individuals, compared with other types of content. Investigating the specificity of self-referential material in temporal patterns of emotional expression in tweets is of interest, but current research is based upon generic textual productions. The temporal variations of emotions shared in tweets through emojis have not been compared to textual analyses to date. This study hence focuses on several comparisons: (i) between Self-referencing tweets versus Other topic tweets, (ii) between coding of textual productions versus coding of emojis, and finally (iii) between coding of textual productions using different sentiment analysis tools (the Linguistic Inquiry and Word Count—LIWC; the Valence Aware Dictionary and sEntiment Reasoner—VADER and the Hu Liu sentiment lexicon—Hu Liu). In a collection of more than 7 million Self-referencing and close to 18 million Other topic content-coded tweets, we identified that (i) similarities and differences in terms of shape and amplitude can be observed in temporal trajectories of expressed emotions between Self-referring and Other topic tweets, (ii) that all tools feature significant circadian and circaseptan patterns in both datasets but not always, and there is often a correspondence in the shape of circadian and circaseptan patterns, and finally (iii) that circadian and circaseptan patterns obtained from the coding of emotional expression in emojis sometimes depart from those of the textual analysis, indicating some complementarity in the use of both modes of expression. We discuss the implications of our findings from the perspective of the literature on emotions and well-being. Close

Abstract Background Trypophobia is characterised by an aversion to or even revulsion for patterns of holes or visual stimuli featuring such patterns. Past research has shown that trypophobic stimuli trigger emotional and physiological reactions, but relatively little is known about the antecedents, prodromes, or simply covariates of trypophobia. Aim The goals of this study were (a) to draw the contours of the nomological network of trypophobia by assessing the associations of symptoms of trypophobia with several constructs that were deemed relevant from past research on anxiety disorders and specific phobias, (b) to compare such associations with those found for symptoms of spider phobia and blood and injection phobia (alternative dependent variables), and (c) to investigate the main effect of gender on symptoms of trypophobia and replicate the association of gender with symptoms of spider phobia and blood and injection phobia (higher scores for women). Methods Participants (N = 1,134, 53% men) in this cross-sectional study completed an online questionnaire assessing the constructs of interest. Results Most assessed constructs typically associated with anxiety disorders (neuroticism, conscientiousness, anxiety sensitivity, trait anxiety, disgust sensitivity, and disgust propensity) were also associated with trypophobia in the predicted direction. All of these constructs were also associated with spider phobia and blood and injection phobia. Behavioral inhibition was negatively associated with trypophobia and spider phobia—contrary to what was expected, but positively with blood and injection phobia. We found no gender difference in trypophobia, whereas women scored higher on spider phobia and blood and injection phobia. Discussion Although some differences were observed, the nomological network of trypophobia was largely similar to that of spider phobia and blood and injection phobia. Further studies are needed to clarify similarities and dissimilarities between trypophobia and specific phobia. Close

Abstract Conversational partners who repeatedly refer to the same objects require less and less collaborative effort to do so. This is due to lexical entrainment, the fact that they come to re-use the same words. Lexical entrainment may reflect the elaboration of conceptual pacts, partner-specific agreements about how to name objects which belong to the conversational partners' common ground. Can lexical entrainment occur even if conversational partners cannot develop conceptual pacts about specific objects? In three experiments, we investigated whether lexical entrainment occurs in the matching task even when cards change over trials and partners are not able to develop pacts. We compared two conditions: a classic condition where cards remained the same for each trial, and a new cards condition where cards changed on each trial. Lexical diversity decreased for pairs in the new cards condition (albeit less than for classical pairs); inconsistent reductions in collaborative effort were also observed. Pairs in the new cards condition also were better able to adapt to novel referring situations (involving novel stimuli or new interaction partners) than classic pairs. The results suggest that lexical entrainment in the matching task may be due in part to factors other than the elaboration of conceptual pacts. These may include the development of an overarching meta-perspective on shared features of cards, reflecting category learning processes resulting from reference negotiation. Close

Abstract A sample of 1015 educational staff members, exhibiting various levels of burnout and depressive symptoms, underwent a memory test involving incident encoding of positive and negative words and a free recall task. Burnout and depression were each found to be associated with increased recall of negative items and decreased recall of positive items. Results remained statistically significant when controlling for history of depressive disorders. Burnout and depression were not related to mistakes in the reported words, or to the overall number of recalled words. This study suggests that burnout and depression overlap in terms of memory biases toward emotional information. Close

Abstract Background: Cognitive enhancement (CE) refers to the voluntary improvement of human cognitive capabilities. Few studies have examined the general attitude of the public towards CE. Such studies have suggested that the use of CE is considered largely unacceptable by the public. In parallel, past research indicates that individuals scoring high on the Dark Triad of personality (Machiavellianism, narcissism, and psychopathy) and competitiveness have atypical views of ethical questions. In this study, we examined (a) whether attitudes towards CE are associated with individual differences in the Dark Triad of personality as well as in trait and contextual competitiveness and (b) whether the Dark Triad moderates the effect of trait and contextual competitiveness on attitudes towards CE. Method: US employees (N = 326) were recruited using Mechanical Turk. Results: The Dark Triad of personality and one of its subscales, Machiavellianism, predicted positive attitudes towards CE. Neither trait competitiveness nor contextual competitiveness were linked to general attitudes towards CE, but the DT was a positive moderator of the association between contextual competitiveness and positive attitudes. Conclusion: Our findings extend the incipient knowledge about the factors relating to favourable views of CE by highlighting the role of dark personality traits in shaping such views. Close

Abstract While belongingness is a predictor of mental and physical health, the lack of social bonds is an issue for many people in occidental countries. This issue calls for global and affordable solutions. In this study, we notably investigated (a) the presumed positive relationships between agentic and communal interactional motives and belongingness, and (b) the mediating role of self-reported non-verbal immediacy—an indicator of availability to interact—in these relationships. Cross-sectional and longitudinal data were collected by means of questionnaires to test these hypotheses (NCrossectional = 344; NLongitudinal = 126) using the General Belongingness Scale, the Non-verbal Immediacy Scale, and the Bem Sex Role Inventory. Results supported the hypotheses: Interpersonal motives and non-verbal immediacy are associated cross-sectionally to belongingness, non-verbal immediacy mediates the interpersonal motives—belongingness relationship and positive changes in non-verbal immediacy are also related to increased belongingness. Practical and research implications are discussed. Close

Abstract During speech, people spontaneously gesticulate, which plays a key role in conveying information. Similarly, realistic co-speech gestures are crucial to enable natural and smooth interactions with social agents. Current end-to-end co-speech gesture generation systems use a single modality for representing speech: either audio or text. These systems are therefore confined to producing either acoustically-linked beat gestures or semantically-linked gesticulation (e.g., raising a hand when saying "high''): they cannot appropriately learn to generate both gesture types. We present a model designed to produce arbitrary beat and semantic gestures together. Our deep-learning based model takes both acoustic and semantic representations of speech as input, and generates gestures as a sequence of joint angle rotations as output. The resulting gestures can be applied to both virtual agents and humanoid robots. Subjective and objective evaluations confirm the success of our approach. The code and video are available at the project page svito-zar.github.io/gesticulator . Close

Abstract Interactive conversation drives the transmission of cultural information in small groups and large networks. In formal (e.g. schools) and informal (e.g. home) learning settings, interactivity does not only allow individuals and groups to faithfully transmit and learn new knowledge and skills, but also to boost cumulative cultural evolution. Here we investigate how interactivity affects performance, teaching, learning, innovation and chosen diffusion mode (e.g. instructional discourse vs. storytelling) of previously acquired information in a transmission chain experiment. In our experiment, participants (n = 288) working in 48 chains with three generations of pairs had to learn and complete a collaborative food preparation task (ravioli-making), and then transmit their experience to a new generation of participants in an interactive and non-interactive condition. Food preparation is a real-world task that it is taught and learned across cultures and transmitted over generations in families and groups. Pairs were defined as teachers or learners depending on their role in the transmission chain. The number of good exemplars of ravioli each pair produced was taken as measurement of performance. Contrary to our expectations, the results did not reveal that (1) performance increased over generations or that (2) interactivity in transmission sessions promoted increased performance. However, the results showed that (3) interactivity promoted the transmission of more information from teachers to learners; (4) increased quantity of information transmission from teachers led to higher performance in learners; (5) higher performance generations introduced more innovations in transmission sessions; (6) learners applied those transmitted innovations to their performance which made them persist over generations; (7) storytelling was specialized for the transmission of non-routine, unexpected information. Our findings offer new insights on how interactivity, innovation and storytelling affect the cultural transmission of complex collaborative tasks. Close

Abstract Some individuals seek to enhance their cognitive capabilities through the use of pharmacology. Such behavior entails potential health risks and raises ethical concerns. The aim of this study was to examine whether a precursor of behavior, ethical judgement towards the use of existing biological cognitive enhancers (e.g., coffee, legal and illegal drugs), is shaped by the perceived characteristics of these cognitive enhancers. Students and employees completed an online questionnaire which measured perceived characteristics of 15 substances presented as potential cognitive enhancers and a measure of ethical judgement towards these cognitive enhancers. Results of mixed model regression analyzes show that ethical judgement is more favourable when cognitive enhancers are perceived as being legal, familiar, efficient, and safe for users' health, supporting all hypotheses. Results further show that 36% of variance (in the null model) lies at the level of cognitive enhancers and 21% at the level of participants. In conclusion, cognitive enhancers vary widely in terms of ethical judgement, which is explained by the perception of the mentioned characteristics. Implications regarding prevention and policy-making are discussed. Close

Abstract Participants in conversation who recurrently discuss the same targets require fewer and fewer words to identify them. This has been attributed to the collaborative elaboration of conceptual pacts, that is, semantic coordination. But participants do not only coordinate on the semantics of referring expressions; they also coordinate on how to do the task, that is, on procedural coordination. In a matching task experiment (n = 22 dyads), we examined the development of four aspects of procedural coordination: Card placement (CP), implicit generic coordination (IGC), explicit generic coordination (EGC) and general procedural coordination (GPC) in two conditions (the classic condition where targets remain the same over trials, and a new cards condition, where they change at each trial, thus increasing the difficulty of semantic coordination). Procedural coordination constituted almost 30% of the total amount of talk in the matching task. Procedural coordination was more effortful when semantic coordination was more difficult and the four aspects of procedural coordination developed differently depending on participant roles. Close

Abstract In this 257-participant study (76% female; mean age: 44.84), we examined two ideas that are widespread among burnout researchers: (a) the idea that burnout is primarily related to occupational-level factors; and (b) the idea that burnout should be considered a sentinel indicator in research on negative occupational outcomes. We investigated the links between burnout and a series of generic and work-related variables, namely, depressive symptoms, neuroticism, extraversion, effort-reward imbalance in the job [ERI], social support at work (SSW), and turnover intention. Burnout was assessed with the Shirom-Melamed Burnout Measure, depressive symptoms with the PHQ-9, neuroticism and extraversion with the NEO-Five Factor Inventory, ERI with the 10-item version of the Effort-Reward Imbalance Questionnaire, SSW with the Job Content Questionnaire, and turnover intention with a dedicated 3-item measure. Correlation, multiple regression, and relative weight analyses were conducted. Burnout was not found to be more strongly linked to organizational and work-contextualized variables than to personality traits. In addition, turnover intention was not associated to a greater extent with burnout than with ERI. Burnout and depressive symptoms were highly correlated and exhibited overlapping nomological networks. Overall, our findings question the way burnout has been generally conceived. Close

Abstract Cumulative cultural evolution requires that information is faithfully transmitted from generation to generation. The present study examines the role of agent interaction as a social learning mechanism in transmission chains. We analyzed the effects of verbal and embodied features of informational transfer on task performance. Our results show that performances improved over generations regardless of interactivity. Close

Abstract . Two studies carried out among Albanian public-sector employees examined the impact of different types of affirmative action policies (AAPs) on (counter)stereotypical perceptions of women in decision-making positions. Study 1 (N = 178) revealed that participants – especially women – perceived women in decision-making positions as more masculine (i.e., agentic) than feminine (i.e., communal). Study 2 (N = 239) showed that different types of AA had different effects on the attribution of gender stereotypes to AAP beneficiaries: Women benefiting from a quota policy were perceived as being more communal than agentic, while those benefiting from weak preferential treatment were perceived as being more agentic than communal. Furthermore, we examined how the belief that AAPs threaten men’s access to decision-making positions influenced the attribution of these traits to AAP beneficiaries. The results showed that men who reported high levels of perceived threat, as compared to men who reported low levels of perceived threat, attributed more communal than agentic traits to the beneficiaries of quotas. These findings suggest that AAPs may have created a backlash against its beneficiaries by emphasizing gender-stereotypical or counterstereotypical traits. Thus, the framing of AAPs, for instance, as a matter of enhancing organizational performance, in the process of policy making and implementation, may be a crucial tool to countering potential backlash. Close

Abstract Researchers in nursing science interested in the study of nurse-patient and nurse-relative interactions have displayed an ever increasing interest in ethnomethodology and conversation analysis. This review assesses the scope of this literature. We categorize the papers in thematic categories determined both inductively and deductively and synthesize the main findings of this literature within category. Finally we discuss the interactional determinants of the lack patient participation, the limitations of the field, and focus on implications. A scoping review on nurse-patient and nurse-relative interactions. Forty articles focusing on nurse-patient interactions and nurse-relative interactions. All the articles relied on ethnomethodology and/or conversation analysis. A literature search has been carried out on Medline (all articles until June 2016; keywords were: nurs*.ab. and "conversation analysis"; nurs*.ab. and ethnomethodology). A similar search was performed on other platforms. The scope of the literature was identified by inductively and deductively analyzing the themes of the relevant articles. Six thematic categories emerged: Organization of nurse-patient interaction (eleven articles); Organization of mediated nurse-patient interaction (seven articles); Information, explanation and advice (eight articles); Negotiation and influence asymmetry (six articles); Managing emotions in critical illness (two articles); and Interacting with patients presenting reduced interactional competences (six articles). Across most thematic categories it appeared that patient participation is far from ideal as interactional asymmetry was most observed in favor of nurses. When the encounters occurred at the patients' homes this pattern was reversed. Computer-mediated interactions were often reported as non-optimal as the standardized process constrained communication and delayed patients' presentation of their ailments. Micro-analyses of interaction present a clear potential for the development of guidelines for nurse-patient interactions. Implications for practice are described. Close

Abstract We examined the overlap of burnout with depression in a sample of 184 New Zealand schoolteachers. Burnout and depressive symptoms were strongly correlated with each other (r = .73; disattenuated correlation: .82) and moderately correlated with dysfunctional attitudes, ruminative responses, and pessimistic attributions. All the participants with high frequencies of burnout symptoms were identified as clinically depressed. Suicidal ideation was reported by 36% of those participants. Three groups of teachers emerged from a two-step cluster analysis: "low burnout-depression," "medium burnout-depression," and "high burnout-depression." The correlation between the affective-cognitive and somatic symptoms of depression was similar in strength to the burnout-depression correlation. Consistent with recent results obtained in Europe and the U.S., our findings suggest that burnout is a depressive syndrome. Close

Abstract Conversation is governed by expectations of timely responding. Violations of these expectations are grounds for inference by other participants. These inferences may be at odds with identities respondents try to project. In job interviews, candidates responses are used to make hiring decisions. Candidates trade off between (1) delaying response initiation to search for an appropriate response at the risk of appearing inept and (2) responding quicker but less appropriately. In a corpus of job interviews, response delays predicted the probability of inappropriate initial responses and decreased hireability ratings, illustrating how unintended aspects of conversational delivery can entail social and institutional consequences beyond the conversation itself. Close

Abstract In 2011, the killing of a Black man by a police officer triggered violent riots across England. In a context where ethnic minorities are rarely openly blamed, we examined the lens through which the events were interpreted in the official discourses of the British Prime Minister. A thematic content analysis (Study 1) revealed that, without explicitly blaming ethnic minorities, the discourses built on antagonistic normative references opposing a virtuous majority to threatening minorities. Then, based on online survey data of self‐declared Londoners (N = 223) during the riots, we analyzed (Study 2) how agreement with the discourses related to individuals’ ethnocentrism and their understanding of the causes underlying the events. Results of regression analyses showed how agreement with the discourses related to blaming ethnic diversity for the riots and to higher ethnocentrism, especially among individuals least likely to discriminate against minorities (i.e., low in social dominance orientation). Agreement with the discourses was also linked to reduced blame of authorities. To conclude, we discuss the mobilization potential of political discourses on ingroup virtue and outgroup threat. Close

Abstract Gaze is instrumental in coordinating face-to-face social interactions. But little is known about gaze use when social interactions co-occur with other joint activities. We investigated the case of walking while talking. We assessed how gaze gets allocated among various targets in mobile conversations, whether allocation of gaze to other targets affects conversational coordination, and whether reduced availability of gaze for conversational coordination affects conversational performance and content. In an experimental study, pairs were videotaped in four conditions of mobility (standing still, talking while walking along a straight-line itinerary, talking while walking along a complex itinerary, or walking along a complex itinerary with no conversational task). Gaze to partners was substantially reduced in mobile conversations, but gaze was still used to coordinate conversation via displays of mutual orientation, and conversational performance and content was not different between stationary and mobile conditions. Results expand the phenomena of multitasking to joint activities. Close

Abstract Women have a life-expectancy advantage over men, but a marked disadvantage with regards to morbidity. This is known as the female-male health-survival paradox in disciplines such as medicine, medical sociology, and epidemiology. Individual differences in physical and mental health are further notably explained by the degree of stress individuals endure, with women being more affected by stressors than men. Here, we briefly examine the literature on women's disadvantage in health and stress. Beyond biological considerations, we follow with socio-cognitive explanations of gender differences in health and stress. We show that gender roles and traits (masculinity in particular) explain part of the gender differences in stress, notably cognitive appraisal and coping. Stress in turn degrades health. Implications are discussed. In conclusion, traditional socialization is advantageous for men in terms of health. Close

Abstract AimTo document the prevalence of perturbations of handover meetings and understand how nurses manage temporal, physical and social meeting boundaries in response to perturbations.BackgroundHandovers are joint activities performed collaboratively by participating nurses. Perturbations of handover are frequent and may potentially threaten continuity of care.DesignWe observed and videotaped handovers during five successive days in four nursing care units in two Swiss hospitals in 2009.MethodsVideorecordings were transcribed. All perturbations during the handovers were noted. We performed content analysis of the sources of perturbations from the notes and interactional micro‐analyses of handover interactions based on video and transcripts.ResultsNurses are the most frequent sources of perturbations during handovers. Perturbations are collaboratively managed. A tacit division of labour is enacted via multimodal communication strategies, whereby perturbations are dealt with using both linguistic and bodily signals. Close

Abstract Mindfulness training applications for mobile devices are increasing in number and use, but little is known on their effectiveness. Our study (N = 107) is the first to examine the effect of a brief mobile-based mindfulness intervention on the emotional reactions to anticipatory social stress. Results show that the intervention is effective in weakening the increase of negative affect related to anticipatory stress, mostly in men. Implications and future research directions are discussed. Close

Abstract This book is packed with easy-to-follow guidelines that explain the workings of the many key data mining tools of R, which are used to discover knowledge from your data. You will learn how to perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. All chapters will guide you in acquiring the skills in a practical way. Most chapters also include a theoretical introduction that will sharpen your understanding of the subject matter and invite you to go further. The book familiarizes you with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, association rules, principal component analysis, multilevel modeling, k-NN, Naive Bayes, decision trees, and text mining. It also provides a description of visualization techniques using the basic visualization tools of R as well as lattice for visualizing patterns in data organized in groups. This book is invaluable for anyone fascinated by the data mining opportunities offered by GNU R and its packages. Close

Abstract Retaining valuable employees is a major issue for organizations, especially for professions characterized by shortage (e.g., nursing). It is thus important for organizations to determine which factors predict personnel satisfaction and intent to leave at various levels (i.e., organization, group, and individual). Nevertheless, few studies on satisfaction in nursing have analyzed a comprehensive set of factors and taken multiple organizational levels into account using appropriate statistical analysis techniques. We conducted a study with 1,547 nurses working in 17 hospitals in Switzerland. Results from multilevel analyses suggest that job satisfaction is predicted by both individual-level (burnout and work-family conflict) and group-level (group cohesion and unit effectiveness) factors, while organizational-level factors (e.g., autonomy) have less impact. Moreover, intent to leave the job is predicted by job satisfaction, whereas the relationship is moderated by perceived differences in priorities between nurses and their employer. When developing strategies to satisfy and retain key personnel, administrators should consider both individual-level and group-level factors as well as how to align priorities and how to best communicate what they have done. Close

Abstract The present study examined the relationships between masculine and feminine traits, measured using the Bem Sex-Role Inventory (BSRI), and the way young adults appraise events (i.e., as threats or as challenges). We hypothesized that the locus of control (LOC)—i.e., individuals perceived control over the events that affect them—mediated these relationships. We tested these assumptions on two student samples from the French-speaking part of Switzerland (N = 123 and N = 504). Regression analyses demonstrated that, as expected, agentic masculine traits were positively related to challenge appraisals, and negatively to threat appraisals. LOC mediated these relationships, but most strongly among female participants. A different pattern was found for femininity. Feminine traits were positively related to increased challenge appraisals, but only in female participants of Sample 2. They were also related, in some cases, to increased threat appraisals. Furthermore, in line with previous research, LOC did not mediate the relationship between feminine traits and cognitive appraisal. Overall, the present results confirm that masculine and feminine stereotypical traits differ in their consequences for the way young adults appraise events in their everyday life. Close

Abstract We investigate dynamics of public perceptions of the 2009 H1N1 influenza pandemic to understand changing patterns of sense-making and blame regarding the outbreak of emerging infectious diseases. We draw on social representation theory combined with a dramaturgical perspective to identify changes in how various collectives are depicted over the course of the pandemic, according to three roles: heroes, villains and victims. Quantitative results based on content analysis of three cross-sectional waves of interviews show a shift from mentions of distant collectives (e.g., far-flung countries) at Wave 1 to local collectives (e.g., risk groups) as the pandemic became of more immediate concern (Wave 2) and declined (Wave 3). Semi-automated content analysis of media coverage shows similar results. Thematic analyses of the discourse associated with collectives revealed that many were consistently perceived as heroes, villains and victims. Close

Abstract Aims: We explore variations in handover duration and communication in nursing units. We hypothesize that duration per patient is higher in units facing high task uncertainty. We expect both topics and functions of communication to vary depending on task uncertainty. Background: Handovers are changing in modern healthcare organizations, where standardized procedures are increasingly advocated for efficiency and reliability reasons. However, redesign of handover should take environmental contingencies of different clinical unit types into account. An important contingency in institutions is task uncertainty, which may affect how communicative routines like handover are accomplished. Method: Nurse unit managers of 80 care units in 18 hospitals were interviewed in 2008 about topics and functions of handover communication and duration in their unit. Interviews were content-analysed. Clinical units were classified into a theory-based typology (unit type) that gradually increases on task uncertainty. Quantitative analyses were performed. Findings: Unit type affected resource allocation. Unit types facing higher uncertainty had higher handover duration per patient. As expected, unit type also affected communication content. Clinical units facing higher uncertainty discussed fewer topics, discussing treatment and care and organization of work less frequently. Finally, unit type affected functions of handover: sharing emotions was less often mentioned in unit types facing higher uncertainty. Conclusion: Task uncertainty and its relationship with functions and topics of handover should be taken into account during the design of handover procedures. Close

Abstract Shift handovers in nursing units involve formal transmission of information and informal conversation about non-routine events. Informal conversation often involves telling stories. Direct reported speech (DRS) was studied in handover storytelling in two nursing care units. The study goal is to contribute to a better understanding of conversation in handover and use of DRS in storytelling in institutional contexts. Content analysis revealed that the most frequent sources quoted were oneself and patients, followed by physicians and colleagues. Further, DRS utterances are preceded by reports of situations, actions, and other reported speech, often constituting the climax of a story. Conversation analysis revealed how DRS participates in multimodal reenactments, complaints about patients, and justifying deviations from medical protocols. Results inform understanding of the uses of DRS in institutional storytelling, show how they index relevant membership categories and related knowledge and expectations, and serve as resources for making sense of non-routine events. Close

Abstract Nursing shift handovers are institutional routines aimed at the transfer of patient information and responsibility among teams of caregivers at the change of shift. They are essential to patient safety and a priority concern for regulatory institutions. Standardization of information transfer during nursing shift handovers is now mandatory in many hospitals. But to date, no study has shown that standardized handover protocols actually improve patient condition. In organization science, research on contingency theory has shown that standardization is efficient only when uncertainty is low. This paper examines how the research on handovers and practical design of handovers could be informed by approaches stemming from contingency theory. The following aspects of adaptability are proposed for more thorough investigation in relation to uncertainty in the unit: adaptability of functions, adaptability of contents, and adaptability of structure. Close