AIMC Topic: Social Behavior

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Vulnerable robots positively shape human conversational dynamics in a human-robot team.

Proceedings of the National Academy of Sciences of the United States of America
Social robots are becoming increasingly influential in shaping the behavior of humans with whom they interact. Here, we examine how the actions of a social robot can influence human-to-human communication, and not just robot-human communication, usin...

Artificial neural networks for predicting social comparison effects among female Instagram users.

PloS one
Systematic exposure to social media causes social comparisons, especially among women who compare their image to others; they are particularly vulnerable to mood decrease, self-objectification, body concerns, and lower perception of themselves. This ...

Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning.

PloS one
Modern societies are exposed to a myriad of risks ranging from disease to natural hazards and technological disruptions. Exploring how the awareness of risk spreads and how it triggers a diffusion of coping strategies is prominent in the research age...

Social behavior for autonomous vehicles.

Proceedings of the National Academy of Sciences of the United States of America
Deployment of autonomous vehicles on public roads promises increased efficiency and safety. It requires understanding the intent of human drivers and adapting to their driving styles. Autonomous vehicles must also behave in safe and predictable ways ...

Deep attention networks reveal the rules of collective motion in zebrafish.

PLoS computational biology
A variety of simple models has been proposed to understand the collective motion of animals. These models can be insightful but may lack important elements necessary to predict the motion of each individual in the collective. Adding more detail incre...

Bidirectional interactions facilitate the integration of a robot into a shoal of zebrafish Danio rerio.

PloS one
Many studies on collective animal behavior seek to identify the individual rules that underlie collective patterns. However, it was not until the recent advancements of micro-electronic and embedded systems that scientists were able to create mixed g...

The Retribution-Gap and Responsibility-Loci Related to Robots and Automated Technologies: A Reply to Nyholm.

Science and engineering ethics
Automated technologies and robots make decisions that cannot always be fully controlled or predicted. In addition to that, they cannot respond to punishment and blame in the ways humans do. Therefore, when automated cars harm or kill people, for exam...

Quantifying ultrasonic mouse vocalizations using acoustic analysis in a supervised statistical machine learning framework.

Scientific reports
Examination of rodent vocalizations in experimental conditions can yield valuable insights into how disease manifests and progresses over time. It can also be used as an index of social interest, motivation, emotional development or motor function de...