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"Daisy, Daisy, give me your answer do!": switching off a robot

Published: 10 March 2007 Publication History

Abstract

Robots can exhibit life like behavior, but are according to traditional definitions not alive. Current robot users are confronted with an ambiguous entity and it is important to understand the users perception of these robots. This study analyses if a robot's intelligence and its agreeableness influence its perceived animacy. The robot's animacy was measured, amongst other measurements, by the users' hesitation to switch it off. The results show that participants hesitated three times as long to switch off an agreeable and intelligent robot as compared to a non agreeable and unintelligent robot. The robots' intelligence had a significant influence on its perceived animacy. Our results suggest that interactive robots should be intelligent and exhibit an agreeable attitude to maximize its perceived animacy.

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    cover image ACM Conferences
    HRI '07: Proceedings of the ACM/IEEE international conference on Human-robot interaction
    March 2007
    392 pages
    ISBN:9781595936172
    DOI:10.1145/1228716
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 10 March 2007

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    Author Tags

    1. animacy
    2. human
    3. intelligence
    4. interaction
    5. robot
    6. switching off

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    HRI07: International Conference on Human Robot Interaction
    March 10 - 12, 2007
    Virginia, Arlington, USA

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    HRI '07 Paper Acceptance Rate 22 of 101 submissions, 22%;
    Overall Acceptance Rate 268 of 1,124 submissions, 24%

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