首页|Study Findings from Osaka University Update Knowledge in Androids (Opinion attribution improves motivation to exchange subjective opinions with humanoid robots)
Study Findings from Osaka University Update Knowledge in Androids (Opinion attribution improves motivation to exchange subjective opinions with humanoid robots)
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Frontiers Media Sa
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in androids. According to news reporting from Osaka, Japan, by NewsRx journalists, research stated, “In recent years, the development of robots that can engage in non-task-oriented dialogue with people, such as chat, has received increasing attention. This study aims to clarify the factors that improve the user’s willingness to talk with robots in non-task oriented dialogues (e.g., chat).” Funders for this research include Japan Science And Technology Agency; Japan Society For The Pro- motion of Science. Our news journalists obtained a quote from the research from Osaka University: “A previous study reported that exchanging subjective opinions makes such dialogue enjoyable and enthusiastic. In some cases, however, the robot’s subjective opinions are not realistic, i.e., the user believes the robot does not have opinions, thus we cannot attribute the opinion to the robot. For example, if a robot says that alcohol tastes good, it may be difficult to imagine the robot having such an opinion. In this case, the user’s motivation to exchange opinions may decrease. In this study, we hypothesize that regardless of the type of robot, opinion attribution affects the user’s motivation to exchange opinions with humanoid robots. We examined the effect by preparing various opinions of two kinds of humanoid robots. The experimental result suggests that not only the users’ interest in the topic but also the attribution of the subjective opinions to them influence their motivation to exchange opinions.”
NETL
NSTL
Frontiers Media Sa
