A Turing test of whether AI chatbots are behaviorally similar to humans.

We administer a Turing test to AI chatbots. We examine how chatbots behave in a suite of classic behavioral games that are designed to elicit characteristics such as trust, fairness, risk-aversion, cooperation, etc., as well as how they respond to a traditional Big-5 psychological survey that measures personality traits. ChatGPT-4 exhibits behavioral and personality traits that are statistically indistinguishable from a random human from tens of thousands of human subjects from more than 50 countries. Chatbots also modify their behavior based on previous experience and contexts "as if" they were learning from the interactions and change their behavior in response to different framings of the same strategic situation. Their behaviors are often distinct from average and modal human behaviors, in which case they tend to behave on the more altruistic and cooperative end of the distribution. We estimate that they act as if they are maximizing an average of their own and partner's payoffs.

Sampling complex social and behavioral phenomena.

We comment on the limits of relying on prior literature when constructing the design space for an integrative experiment; the adaptive nature of social and behavioral phenomena and the implications for the use of theory and modeling when constructing the design space; and on the challenges of measuring random errors and lab-related biases in measurement without replication.

Putting the power of behavior analysis in the hands of nonbehavioral professionals: Toward a blueprint for dissemination†.

Behavior analysts have much to offer nonbehavioral professionals who work with the communities that we serve. Successful dissemination of behavior-analytic technologies to these professionals could potentially improve their practice. Although the literature contains some exemplary examples of successful dissemination, our discipline would benefit from a blueprint for conducting this important work. In this article, I share our experiences disseminating behavioral technologies to educators, law enforcement officers, and health care providers who engage with neurodiverse individuals. These experiences form the basis of a recommended blueprint for dissemination, which awaits empirical support. After describing this tentative blueprint, I provide suggestions for future research on how best to disseminate our technologies to nonbehavioral professionals, the ideal content of those dissemination activities, and the conditions under which professionals may be more likely to embed our technologies into their best practices.

A Gestalt account of human behavior is supported by evidence from switching between single and dual actions.

The question of how behavior is represented in the mind lies at the core of psychology as the science of mind and behavior. While a long-standing research tradition has established two opposing fundamental views of perceptual representation, Structuralism and Gestalt psychology, we test both accounts with respect to action representation: Are multiple actions (characterizing human behavior in general) represented as the sum of their component actions (Structuralist view) or holistically (Gestalt view)? Using a single-/dual-response switch paradigm, we analyzed switches between dual ([A + B]) and single ([A], [B]) responses across different effector systems and revealed comparable performance in partial repetitions and full switches of behavioral requirements (e.g., in [A + B] → [A] vs. [B] → [A], or [A] → [A + B] vs. [B] → [A + B]), but only when the presence of dimensional overlap between responses allows for Gestalt formation. This evidence for a Gestalt view of behavior in our paradigm challenges some fundamental assumptions in current (tacitly Structuralist) action control theories (in particular the idea that all actions are represented compositionally with reference to their components), provides a novel explanatory angle for understanding complex, highly synchronized human behavior (e.g., dance), and delimitates the degree to which complex behavior can be analyzed in terms of its basic components.

Misguided model of human behavior: Comment on C. H. Burt: "Challenging the utility of polygenic scores for social science ".

This commentary emphasizes two problem areas mentioned by Burt. First, that within-family designs do not eradicate stratification confounds. Second, that the linear/additive model of genetic causes of form and variation is not supported by recent progress in molecular biology. It concludes with an appeal for a (biologically and psychologically) more realistic model of such causes.

[A review of studies on visual behavior analysis aided diagnosis of autism spectrum disorders].

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and repetitive behaviors. With the rapid development of computer vision, visual behavior analysis aided diagnosis of ASD has got more and more attention. This paper reviews the research on visual behavior analysis aided diagnosis of ASD. First, the core symptoms and clinical diagnostic criteria of ASD are introduced briefly. Secondly, according to clinical diagnostic criteria, the interaction scenes are classified and introduced. Then, the existing relevant datasets are discussed. Finally, we analyze and compare the advantages and disadvantages of visual behavior analysis aided diagnosis methods for ASD in different interactive scenarios. The challenges in this research field are summarized and the prospects of related research are presented to promote the clinical application of visual behavior analysis in ASD diagnosis.

Evaluating the impact of continuing professional development courses on physician behavioral intention: a pre-post study with follow-up at six months.

BACKGROUND: Continuing professional development (CPD) for health professionals includes educational activities to maintain or improve skills. We evaluated the impact of a series of CPD courses by identifying factors influencing physicians' intention to adopt targeted behaviors and assessing self-reported behavior adoption six months later. METHODS: In this pre-post study, eligible participants attended at least one in-person course at the Fédération des Médecins Spécialistes du Québec annual meeting in November 2019. Before and afterwards, participants completed CPD-REACTION, a validated questionnaire based on Godin's integrated model for health professional behavior change that measures intention and psychosocial factors influencing intention. We used Wilcoxon signed-rank test to compare pre- and post-course intention scores and linear regression analyses to identify factors influencing intention. We also compared the post-course intention scores of participants reporting a behavior change six months later with the scores of those reporting no behavior change six months later. Qualitative data was collected only six months after courses and responses to open-ended questions were analyzed using the Theoretical Domains Framework. RESULTS: A total of 205/329 course attendees completed CPD-REACTION (response rate 62.3%). Among these participants, 158/329 (48%) completed the questionnaire before CPD courses, 129/329 (39.2%) only after courses and 47/329 (14.3%) at 6 months. Study population included 192 physicians of whom 78/192(40.6%) were female; 59/192(30.7%) were between 50 and 59 years old; and 72/192 (37.5%) were surgical specialist physicians. Mean intention scores before (n = 158) and after (n = 129) courses were 5.74(SD = 1.52) and 6.35(SD = 0.93) respectively. Differences in mean (DM) intention before and afterwards ranged from - 0.31(p = 0.17) to 2.25(p = 0.50). Multivariate analysis showed that beliefs about capabilities (ß = 0.15, p = 0.001), moral norm (ß = 0.75, p < 0.0001), and beliefs about consequences (ß = 0.11, p = 0.04) influenced post-course intention. Post-course intention was correlated with behavior six months later (DM = 0.63; p = 0.02). Qualitative analysis showed that facilitators to behavior adoption after six months were most often related to the TDF domains of beliefs about capabilities. Most frequent barriers to adoption related to lack of resources. CONCLUSIONS: Overall, scores for intention to adopt targeted behaviors increased after the courses. CPD providers could increase participants' intention by including interventions that emphasize beliefs about capabilities, moral norm and beliefs about consequences.

Bridge-building between communities: Imagining the future of biomedical autism research.

A paradigm shift in research culture is required to ease perceived tensions between autistic people and the biomedical research community. As a group of autistic and non-autistic scientists and stakeholders, we contend that through participatory research, we can reject a deficit-based conceptualization of autism while building a shared vision for a neurodiversity-affirmative biomedical research paradigm.

Behavioral public policy in practice: Misconceptions and opportunities.

I greatly respect the authors of the target article. However, in contrast to the target article's assertion, practitioners of behavioral public policy are indeed involved in developing and promoting systemic solutions. Its "i-frame"/"s-frame" distinction is incoherent, unhelpful, and obscures promising future directions for behavioral public policy. Its content and presentation undermine its stated goals and encourage sweeping dismissals of the field.

When nudges have societal-level impact.

Individual-level research in behavioral science can have massive impact and create system-level changes, as several recent mandates and other policy actions have shown. Although not every nudge creates long-term behavior change, defaults and other forms of choice architecture can not only change individual behavior but also reduce inequities and lead to changes in public policy and norms.

Behavioral market design.

When it comes to behavioral change, economic design and behavioral science are complements, not substitutes. Chater & Loewenstein give examples from policy design. In this commentary, I use examples, often from my own research, to show how behavioral insights inform the design of the rules that govern market transactions.

Nudging is being framed.

I make three points. First, the i-frame and s-frame are not helpful frameworks for thinking about behavioral public policy. Second, the authors ignore the role of politics: Policies (and the s-frame) require laws and regulations. Third, the research on retirement savings, which is all about the system, undercuts their claims.

Where next for behavioral public policy?

Our target article distinguishes between policy approaches that seek to address societal problems through intervention at the level of the individual (adopting the "i-frame") and those that seek to change the system within which those individuals live (adopting the "s-frame"). We stress also that a long-standing tactic of corporations opposing systemic change is to promote the i-frame perspective, presumably hoping that i-frame interventions will be largely ineffective and more importantly will be seen by the public and some policy makers as a genuine alternative to systemic change. We worry that the i-frame focus of much of behavioral science has inadvertently reinforced this unhelpful focus on the individual. In this response to commentators, we identify common themes, build on the many constructive suggestions to extend our approach, and reply to concerns. We argue, along with several commentators, that a key role of behavioral public policy is to clarify how to build support for systemic reforms for which there is a broad consensus in the policy community, but which are opposed by powerful special interests.

Spiritual practices predict migration behavior.

Each year, several thousand migrants from sub-Saharan Africa lose their lives attempting to reach Europe's southern shores. Social scientists and policymakers have puzzled over the question of why so many people are willing to take this extremely high risk of dying. Drawing on panel data from over 10,000 individuals collected over the course of 1 year in The Gambia-a country with one of the highest emigration rates in the world-we show that consulting a local healer for spiritual protection predicts migration outcomes. Furthermore, we find that spiritual practices are strongly associated with a decreased perception of one's own risk of dying on the migration journey. Our findings demonstrate the relevance of ideational factors in explaining risky migration choices, and point to spiritual leaders as important interlocutors for migration policy makers.

Combinations of genes at the 16p11.2 and 22q11.2 CNVs contribute to neurobehavioral traits.

The 16p11.2 and 22q11.2 copy number variants (CNVs) are associated with neurobehavioral traits including autism spectrum disorder (ASD), schizophrenia, bipolar disorder, obesity, and intellectual disability. Identifying specific genes contributing to each disorder and dissecting the architecture of CNV-trait association has been difficult, inspiring hypotheses of more complex models, such as multiple genes acting together. Using multi-tissue data from the GTEx consortium, we generated pairwise expression imputation models for CNV genes and then applied these elastic net models to GWAS for: ASD, bipolar disorder, schizophrenia, BMI (obesity), and IQ (intellectual disability). We compared the variance in these five traits explained by gene pairs with the variance explained by single genes and by traditional interaction models. We also modeled polygene region-wide effects using summed predicted expression ranks across many genes to create a regionwide score. We found that in all CNV-trait pairs except for bipolar disorder at 22q11.2, pairwise effects explain more variance than single genes. Pairwise model superiority was specific to the CNV region for all 16p11.2 traits and ASD at 22q11.2. We identified novel individual genes over-represented in top pairs that did not show single-gene signal. We also found that BMI and IQ have significant regionwide association with both CNV regions. Overall, we observe that genetic architecture differs by trait and region, but 9/10 CNV-trait combinations demonstrate evidence for multigene contribution, and for most of these, the importance of combinatorial models appears unique to CNV regions. Our results suggest that mechanistic insights for CNV pathology may require combinational models.

Conceptual Foundations of Sustainability.

Threats to the health of our environment are numerous. Much research in science and engineering is devoted to documenting, understanding, and attempting to mitigate the harm itself. The root challenge for sustainability, however, is human behavior. As such, changes to human behaviors and the internal processes that drive them are also essential. Critical to understanding sustainability-related behaviors is the individual's conceptualization of the natural world and its components and processes. The papers in this topiCS issue address these conceptualizations by drawing from anthropological, linguistic, educational, philosophical, and social cognitive perspectives as well as traditional psychological approaches to the study of concepts and their development in children. They engage with many domains bearing on environmental sustainability including climate change, biodiversity, land and water conservation, resource use, and design of the built environment. They coalesce around four broad themes: (a) What people know (or believe) about nature broadly and about specific aspects of nature, and how they acquire and use this knowledge; (b) how knowledge is expressed and shared via language; (c) how knowledge and beliefs interact with affective, social, and motivational influences to yield attitudes and behaviors; and (d) how members of different cultures and speakers of different languages differ in these ways. The papers also point to lessons for advancing sustainability via public policy and public messaging, education, conservation and nature management, and design of the built environment.

Humans decompose tasks by trading off utility and computational cost.

Human behavior emerges from planning over elaborate decompositions of tasks into goals, subgoals, and low-level actions. How are these decompositions created and used? Here, we propose and evaluate a normative framework for task decomposition based on the simple idea that people decompose tasks to reduce the overall cost of planning while maintaining task performance. Analyzing 11,117 distinct graph-structured planning tasks, we find that our framework justifies several existing heuristics for task decomposition and makes predictions that can be distinguished from two alternative normative accounts. We report a behavioral study of task decomposition (N = 806) that uses 30 randomly sampled graphs, a larger and more diverse set than that of any previous behavioral study on this topic. We find that human responses are more consistent with our framework for task decomposition than alternative normative accounts and are most consistent with a heuristic-betweenness centrality-that is justified by our approach. Taken together, our results suggest the computational cost of planning is a key principle guiding the intelligent structuring of goal-directed behavior.