タカハシ　ヒデユキ   Hideyuki Takahashi   高橋　英之    所属   追手門学院大学  理工学部 情報工学科    職種   准教授
言語種別	英語
発行・発表の年月	2015/10/21
形態種別	外国学会誌（その他）
査読	査読あり
標題	Effects of behavioral complexity on intention attribution to robots
執筆形態	共著・編著（代表編著を除く）
掲載誌名	HAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction
出版社・発行元	Association for Computing Machinery, Inc
巻・号・頁	pp.65-72
著者・共著者	Yuto Imamura,Kazunori Terada,Hideyuki Takahashi
概要	Researchers in artificial intelligence and robotics have long debated whether robots are capable of possessing minds. We hypothesize that the mind is an abstract internal representation of an agent's input-output relationships, acquired through evolution to interact with others in a non-zero-sum game environment. Attributing mental states to others, based on their complex behaviors, enables an agent to understand another agent's current behavior and predict its future behavior. Therefore, behavioral complexity, i.e., complex sensory input and motor output, might be an essential cue in attributing abstract mental states to others. To test this theory, we conducted experiments in which participants were asked to control a robot that exhibits either simple or complex inputoutput relationships in its behavior to achieve goals by pushing a button switch on a remote control device. We then measured participants' subjective impressions of the robot after a sudden change in the mapping between the button switch and motor output during the goal-oriented task. The results indicate that the complex relationship between inputs and a robot's behavioral output requires greater abstraction and induces humans to attribute mental states to the robot-in contrast to a simple relationship scenario.
DOI	10.1145/2814940.2814949
DBLP ID	conf/hai/ImamuraTT15
PermalinkURL	http://doi.acm.org/10.1145/2814940.2814949
researchmap用URL	http://dblp.uni-trier.de/db/conf/hai/hai2015.html#conf/hai/ImamuraTT15