AIMC Topic: Social Behavior

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Physiological data for affective computing in HRI with anthropomorphic service robots: the AFFECT-HRI data set.

Scientific data
In human-human and human-robot interaction, the counterpart influences the human's affective state. Contrary to humans, robots inherently cannot respond empathically, meaning non-beneficial affective reactions cannot be mitigated. Thus, to create a r...

Conformity of ChatGPT recommendations with the AUA/SUFU guideline on postprostatectomy urinary incontinence.

Neurourology and urodynamics
INTRODUCTION: Artificial intelligence (AI) shows immense potential in medicine and Chat generative pretrained transformer (ChatGPT) has been used for different purposes in the field. However, it may not match the complexity and nuance of certain medi...

Deep-Learning-Based Analysis Reveals a Social Behavior Deficit in Mice Exposed Prenatally to Nicotine.

Cells
Cigarette smoking during pregnancy is known to be associated with the incidence of attention-deficit/hyperactive disorder (ADHD). Recent developments in deep learning algorithms enable us to assess the behavioral phenotypes of animal models without c...

A systematic review of the development and application of home cage monitoring in laboratory mice and rats.

BMC biology
BACKGROUND: Traditionally, in biomedical animal research, laboratory rodents are individually examined in test apparatuses outside of their home cages at selected time points. However, the outcome of such tests can be influenced by various factors an...

Social Preferences Toward Humans and Machines: A Systematic Experiment on the Role of Machine Payoffs.

Perspectives on psychological science : a journal of the Association for Psychological Science
There is growing interest in the field of cooperative artificial intelligence (AI), that is, settings in which humans and machines cooperate. By now, more than 160 studies from various disciplines have reported on how people cooperate with machines i...

Forming We-intentions under breakdown situations in human-robot interactions.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: When agents (e.g. a person and a social robot) perform a joint activity to achieve a joint goal, they require sharing a relevant group intention, which has been defined as a We-intention. In forming We-intentions, breakdown ...

Human Factors Considerations for Quantifiable Human States in Physical Human-Robot Interaction: A Literature Review.

Sensors (Basel, Switzerland)
As the global population rapidly ages with longer life expectancy and declining birth rates, the need for healthcare services and caregivers for older adults is increasing. Current research envisions addressing this shortage by introducing domestic s...

Anthropomorphism-based causal and responsibility attributions to robots.

Scientific reports
People tend to expect mental capabilities in a robot based on anthropomorphism and often attribute the cause and responsibility for a failure in human-robot interactions to the robot. This study investigated the relationship between mind perception, ...

A Comparative Defense of Self-initiated Prospective Moral Answerability for Autonomous Robot harm.

Science and engineering ethics
As artificial intelligence becomes more sophisticated and robots approach autonomous decision-making, debates about how to assign moral responsibility have gained importance, urgency, and sophistication. Answering Stenseke's (2022a) call for scaffold...