Gaining Insight into Determinants of Physical Activity using Bayesian Network Learning

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Trusting Humans and Avatars: Behavioral and Neural Evidence

Over the past decade, information technology has dramatically changed the context in which economic transactions take place. Increasingly, transactions are computer-mediated, so that, relative to human-human interactions, human-computer interactions are gaining in relevance. Computer-mediated transactions, and in particular those related to the Internet, increase perceptions of uncertainty. Therefore, trust becomes a crucial factor in the reduction of these perceptions. To investigate this important construct, we studied individual trust behavior and the underlying brain mechanisms through a multi-round trust game. Participants acted in the role of an investor, playing against both humans and avatars. The behavioral results show that participants trusted avatars to a similar degree as they trusted humans. Participants also revealed similarity in learning an interaction partner’s trustworthiness, independent of whether the partner was human or avatar. However, the neuroimaging findings revealed differential responses within the brain network that is associated with theory of mind (mentalizing) depending on the interaction partner. Based on these results, the major conclusion of our study is that, in a situation of a computer with human-like characteristics (avatar), trust behavior in human-computer interaction resembles that of human-human interaction. On a deeper neurobiological level, our study reveals that thinking about an interaction partner’s trustworthiness activates the mentalizing network more strongly if the trustee is a human rather than an avatar. We discuss implications of these findings for future research

Behavioral Economics: Past, Present, Future

Behavioral economics increases the explanatory power of economics by providing it with more realistic psychological foundations. This book consists of representative recent articles in behavioral economics. This chapter is intended to provide an introduction to the approach and methods of behavioral economics, and to some of its major findings, applications, and promising new directions. It also seeks to fill some unavoidable gaps in the chapters’ coverage of topics

Self-referential thinking and equilibrium as states of mind in games: fMRI evidence

Sixteen subjects' brain activity were scanned using previous termfMRInext term as they made choices, expressed beliefs, and expressed iterated 2nd-order beliefs (what they think others believe they will do) in eight games. Cingulate cortex and prefrontal areas (active in “theory of mind” and social reasoning) are differentially activated in making choices versus expressing beliefs. Forming self-referential 2nd-order beliefs about what others think you will do seems to be a mixture of processes used to make choices and form beliefs. In equilibrium, there is little difference in neural activity across choice and belief tasks; there is a purely neural definition of equilibrium as a “state of mind.” “Strategic IQ,” actual earnings from choices and accurate beliefs, is negatively correlated with activity in the insula, suggesting poor strategic thinkers are too self-focused, and is positively correlated with ventral striatal activity (suggesting that high IQ subjects are spending more mental energy predicting rewards)

Predicting Precedent: A Psycholinguistic Artificial Intelligence in the Supreme Court

Since the proliferation of analytic methodologies and ‘big data’ in the 1980s, there have been multiple studies claiming to offer consistent predictions for Supreme Court behavior. Political scientists focus on analyzing the ideology of judges, with prediction accuracy as high as 70%. Institutionalists, such as Kaufmann (2019), seek to make predictions on verdicts based on a thorough, qualitative analysis of rules and structures, with predictive accuracy as high as 75%. We argue that a psycholinguistic model utilizing machine learning (SCOTUS_AI) can best predict Court outcomes. Extracting sentiment features from parsed briefs through the Linguistic Inquiry and Word Count (LIWC), our results indicate SCOTUS_AI (AUC = .8087; Top K=.9144) outcompetes traditional analysis in both class-controlled accuracy and range of possible, specific outcomes. Moreover, unlike traditional models, SCOTUS_AI can also predict the procedural outcome of the case as one-hot encoded by remand (AUC=.76). Our findings support a psycholinguistic paradigm of case analysis, suggesting that the framing of arguments is a relatively strong predictor of case results. Finally, we cast predictions for the Supreme Court docket, demonstrating that SCOTUS_AI can be practically deployed in the field for individual cases

Global Platform Work: Negotiating Relations in a Translocal Assemblage

Digitale Freelance-Plattformen werben mit Flexibilität, Unabhängigkeit und dem Zugang zu einem weltweiten Arbeitsmarkt. Doch was bedeutet es, sich in diesem Umfeld zu organisieren und zu positionieren? "Global Platform Work" beleuchtet den Alltag von Grafikdesigner:innen, die von Indien aus über digitale Plattformen weltweit Aufträge erhalten. Auf der Grundlage von Interviews, Beobachtungen und Fototagebüchern beschreibt die Autorin, wie wichtig es für Gigworker:innen ist, sich ständig aufs Neue in ein positives Licht zu rücken, Beziehungen zu knüpfen und sich an eine Arbeitsumgebung anzupassen, die im ständigen Wandel begriffen ist. Dabei formuliert sie Gig Work als Beziehungsarbeit und beleuchtet alltägliche Praktiken, die gängige Konzepte von Arbeit oft unberücksichtigt lassen

Training effectiveness among general insurance agents and intention to transfer training as mediator

The role of training for the improvement of skills and knowledge has long been acknowledged. General Insurance agents who are exposed to effective training generally possess the technical knowledge, skills and attitudes to carry out their tasks. In Malaysia, the insurance companies have been investing generously in training so as to enhance the agents’ knowledge and accomplishments. Nevertheless, the present human capital, especially in the financial institutions, falls way below expectations. The theoretical framework of this survey was developed based on past research and the underpinning theory of planned behaviour. This work tested the direct and indirect relationship between training system expectancies, learning style and self-efficacy, also known as the adaptation of belief, and intention to transfer training and training effectiveness among the General Insurance agents in Malaysia. A total of 380 agents representing all the General Insurance companies in Malaysia participated in the survey by filling out the study questionnaires in 2015. The Partial Least Squares (PLS-SEM) approach was utilized to test the hypotheses. The results of the direct relationships between the independent variables (training system expectancies, learning style and self-efficacy) and the dependent variable (training effectiveness) show that they influence training effectiveness. At the same time, it was found that all the independent variables do not significantly influence the mediator, that is, intention to transfer training, on its role of attaining training effectiveness. The indirect relationship between the independent variables and the dependent variable when the mediating variable was incorporated into the relationship, does not support intention to transfer training as a mediator. The theoretical contributions, policy implications, limitations of the study and suggestions for future research were discussed as well

Making Common Causes: Crises, Conflict, Creation, Conversations: Offerings from the Biennial ALECC Conference Queen’s University, Kingston 2016

At ALECC’s biennial gathering at Queen’s University in June 2016, participants came together to explore the possibilities of “making common causes” from a host of angles, yet all were anchored in an acknowledgement of the diverse more-than-human relationships that make up our common worlds. The following collection of short essays, authored by some of the gathering’s keynote speakers, explores specific aspects of making common causes. In this special section of The Goose, we deliberately invoke the plural of conversation. We understand the effort to make common causes as a process, rather than a “one and done” act. It is multifaceted and messy; it invites imagination and critique. Most importantly, it needs to cultivate the common ground whereupon these difficult conversations can be engaged

Neural Substrates of Decision-Making in Economic Games

In economic experiments decisions often differ from game-theoretic predictions. Why are people generous in one-shot ultimatum games with strangers? Is there a benefit to generosity toward strangers? Research on the neural substrates of decisions suggests that some choices are hormone-dependent. By artificially stimulating subjects with neuroactive hormones, we can identify which hormones and brain regions participate in decisionmaking, to what degree and in what direction. Can a hormone make a person generous while another stingy? In this paper, two laboratory experiments are described using the hormones oxytocin (OT) and arginine vasopressin (AVP). Concentrations of these hormones in the brain continuously change in response to external stimuli. OT enhances trust (Michael Kosfeld et al. 2005b), reduce fear from strangers (C. Sue Carter 1998), and has anti-anxiety effects (Kerstin Uvnäs-Moberg, Maria Peterson 2005). AVP enhances attachment and bonding with kin in monogamous male mammals (Jennifer N. Ferguson et al. 2002) and increases reactive aggression (C. Sue Carter 2007). Dysfunctions of OT and/or AVP reception have been associated with autism (Miranda M. Lim et al. 2005). In Chapter One I review past experiments with the ultimatum (UG) and dictator (DG) games and visit some of the major results in the literature. In Chapter Two I present the results of my laboratory experiment where I examine why people are generous in one-shot economic games with strangers. I hypothesize that oxytocin would enhance generosity in the UG. Players in the OT group were much more generous than those in the placebo—OT offers in the UG were 80% higher than offers on placebo. Enhanced generosity was not due to altruism as there was no effect on DG offers. This implies that other-regarding preferences are at play in the amount of money sent but only in a reciprocal context. The third chapter presents an experiment on punishment. I hypothesized that AVP would increase rejections and stinginess in the UG and TG. Results show that AVP affects rejections and stinginess in small groups but not in large ones. Chapter Four contains the summary of future research suggestions.Oxytocin; Vasopressin; ultimatum game; dictator game; trust game; generosity; altruism