Exploring cultural factors in human-robot interaction: A matter of personality?

Astrid Weiss, Vanessa Evers

    Research output: Contribution to conferencePaperAcademicpeer-review

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    Abstract

    This paper proposes an experimental study to investigate task-dependence and cultural-background dependence of the personality trait attribution on humanoid robots. In Human-Robot Interaction, as well as in Human-Agent Interaction research, the attribution of personality traits towards intelligent agents has already been researched intensively in terms of the social similarity or complementary rule. These two rules imply that humans either tend to like others with similar personality traits or complementary personality traits more. Even though state of the art literature suggests that similarity attraction happens for virtual agents, and complementary attraction for robots, there are many contradictions in the findings. We assume that searching the explanation for personality trait attribution in the similarity and complementary rule does not take into account important contextual factors. Just like people equate certain personality types to certain professions, we expect that people may have certain personality expectations depending on the context of the task the robot carries out. Because professions have different social meaning in different national culture, we also expect that these task-dependent personality preferences differ across cultures. Therefore suggest an experiment that considers the task-context and the cultural background of users.
    Original languageEnglish
    Number of pages7
    Publication statusPublished - Dec 2011
    Event2nd International Workshop on Comparative Informatics, IWCI 2011 - Copenhagen, Denmark
    Duration: 9 Dec 201110 Dec 2011
    Conference number: 2

    Workshop

    Workshop2nd International Workshop on Comparative Informatics, IWCI 2011
    Abbreviated titleIWCI
    CountryDenmark
    CityCopenhagen
    Period9/12/1110/12/11

    Keywords

    • METIS-285049
    • HMI-MI: MULTIMODAL INTERACTIONS
    • EWI-21361
    • IR-79601

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