Social Network Engagement during Human-robot Interaction An Extended Abstract on a Fundamental Novel Field within Human-robot Interaction

被引:0
作者
Hogenhuis, Ann [1 ]
机构
[1] Radboud Univ Nijmegen, Nijmegen, Netherlands
来源
COMPANION OF THE ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI 2023 | 2023年
关键词
Human-robot interaction; functional connectivity; fMRI; COGNITION; MIND; BRAIN; SELF;
D O I
10.1145/3568294.3579976
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The improvement of natural and intuitive interaction is currently one of the major challenges for studies of human-robot interaction. Although the sector has advanced technologically to astonishing levels, the integration of these robots into our social environment frequently still feels rusty. People are often reluctant to communicate with robots on a regular basis because they feel uneasy or distrustful of them. Conversing with an agent from a novel embodiment raises significant questions about human social interaction in general. How do people connect, or how does interaction result in a social relationship? My goal is to systematically investigate the neural mechanisms of social behaviour during human-robot interaction. Specifically, my aim is to investigate the social domain-general networks in the brain that form the underpinnings of communication. While cutting-edge research techniques, such as simultaneous scanning and real-time measurements, have been used in neuroscientific research to study human-human interaction, the extension of neuroscience towards human-robot interaction is surprisingly novel.
引用
收藏
页码:757 / 759
页数:3
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