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Human Interaction and Improving Knowledge through Collaborative Tour Guide Robots

Anna-Maria Velentza, Dietmar Heinke, Jeremy Wyatt

发表年份
2019
引用次数
24

摘要

In the coming years tour guide robots will be widely used in museums and exhibitions. Therefore, it is important to identify how these new museum guides can optimally interact with visitors. In this paper, we introduce the idea of two collaborative tour guide robots. We have been inspired by evidence from cognitive studies stating that people remember more when they receive information from two different human speakers. Our collaborative tour guides were benchmarked against single robot guides. Our study initially proved, through real-world experiments, previous proposals stating that the personality of the robot affects the human learning process; our results demonstrate that people remember significantly more information when they are guided by a cheerful robot than when their guide is a serious one. Moreover, another important outcome of our study is that our visitors tend to like more our collaborative robots, than any referenced single robot, as demonstrated by the higher scores in the aesthetic-related questions. Hence our results suggest that a cheerful robot is more suitable for learning purposes while two robots are more suitable for entertainment purposes.

关键词

RobotExhibitionHuman–computer interactionEntertainmentComputer scienceProcess (computing)Human–robot interactionArtificial intelligenceMultimediaVisual arts

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