Human-robot trust. Is motion fluency an effective behavioral style for regulating robot trustworthiness?
Publication year
2013Publisher
[S.l.] : [S.n.]
In
Hindriks, K.; Weerdt, M. de; Riemsdijk, B. van (ed.), Proceedings of the 25th Belgium-Netherlands Artificial Intelligence Conference, pp. 112-119Publication type
Article in monograph or in proceedings

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Editor(s)
Hindriks, K.
Weerdt, M. de
Riemsdijk, B. van
Warnier, M.
Organization
SW OZ DCC AI
Languages used
English (eng)
Book title
Hindriks, K.; Weerdt, M. de; Riemsdijk, B. van (ed.), Proceedings of the 25th Belgium-Netherlands Artificial Intelligence Conference
Page start
p. 112
Page end
p. 119
Subject
Behaviour Change and Well-being; Cognitive artificial intelligence; DI-BCB_DCC_Theme 2: Perception, Action and ControlAbstract
Finding good behavioral styles to express robot trustworthiness will optimize the usage of robots. In previous research, motion fluency as behavioral style was studied. Smooth robot motions were compared with trembling robot motions. In a video experiment an effect of motion fluency on trust was found, while in an Immersive Virtual Environment (IVE) experiment, no effect was observed [1]. In this research, we explored the question whether the motion fluency effect is present in a short version of an IVE task and disappears when the task is longer. Results indicate this is not the case. Several explanations for this null-effect are discussed and several recommendations for further human-robot trust studies are provided.
This item appears in the following Collection(s)
- Academic publications [226841]
- Electronic publications [108452]
- Faculty of Social Sciences [28468]
- Open Access publications [77617]
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