AIMC Topic: Social Behavior
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Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review.
Sensors (Basel, Switzerland)
Jul 30, 2021
Research on affective communication for socially assistive robots has been conducted to enable physical robots to perceive, express, and respond emotionally. However, the use of affective computing in social robots has been limited, especially when s...
Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jun 11, 2021
Home-cage social behaviour analysis of mice is an invaluable tool to assess therapeutic efficacy of neurodegenerative diseases. Despite tremendous efforts made within the research community, single-camera video recordings are mainly used for such ana...
New Challenges for Ethics: The Social Impact of Posthumanism, Robots, and Artificial Intelligence.
Journal of healthcare engineering
Jun 7, 2021
The ethical approach to science and technology is based on their use and application in extremely diverse fields. Less prominence has been given to the theme of the profound changes in our conception of human nature produced by the most recent develo...
Intranasal vasopressin modulates resting state brain activity across multiple neural systems: Evidence from a brain imaging machine learning study.
Neuropharmacology
Apr 11, 2021
Arginine vasopressin (AVP), a neuropeptide with widespread receptors in brain regions important for socioemotional processing, is critical in regulating various mammalian social behavior and emotion. Although a growing body of task-based brain imagin...
Unsupervised manifold learning of collective behavior.
PLoS computational biology
Feb 12, 2021
Collective behavior is an emergent property of numerous complex systems, from financial markets to cancer cells to predator-prey ecological systems. Characterizing modes of collective behavior is often done through human observation, training generat...
Human-dog relationships as a working framework for exploring human-robot attachment: a multidisciplinary review.
Animal cognition
Jan 24, 2021
Robotic agents will be life-long companions of humans in the foreseeable future. To achieve such successful relationships, people will likely attribute emotions and personality, assign social competencies, and develop a long-lasting attachment to rob...
Development of swarm behavior in artificial learning agents that adapt to different foraging environments.
PloS one
Dec 18, 2020
Collective behavior, and swarm formation in particular, has been studied from several perspectives within a large variety of fields, ranging from biology to physics. In this work, we apply Projective Simulation to model each individual as an artifici...
Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm.
PloS one
Dec 16, 2020
Automated quantification of behavior is increasingly prevalent in neuroscience research. Human judgments can influence machine-learning-based behavior classification at multiple steps in the process, for both supervised and unsupervised approaches. S...
PsychoAge and SubjAge: development of deep markers of psychological and subjective age using artificial intelligence.
Aging
Dec 8, 2020
Aging clocks that accurately predict human age based on various biodata types are among the most important recent advances in biogerontology. Since 2016 multiple deep learning solutions have been created to interpret facial photos, omics data, and cl...
The Robot Made Me Do It: Human-Robot Interaction and Risk-Taking Behavior.
Cyberpsychology, behavior and social networking
Nov 18, 2020
Empirical evidence has shown that peer pressure can impact human risk-taking behavior. With robots becoming ever more present in a range of human settings, it is crucial to examine whether robots can have a similar impact. Using the balloon analogue ...
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