When stereotypes meet robots: The double-edge sword of robot gender and personality in human–robot interaction
| Autor: | Taezoon Park, Benedict Tiong Chee Tay, Younbo Jung |
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| Rok vydání: | 2014 |
| Předmět: |
Extraversion and introversion
Social robot ComputingMilieux_THECOMPUTINGPROFESSION media_common.quotation_subject Personality psychology Affect (psychology) Human–robot interaction Human-Computer Interaction Nonverbal communication Arts and Humanities (miscellaneous) Robot Personality Psychology Social psychology General Psychology media_common |
| Zdroj: | Computers in Human Behavior. 38:75-84 |
| ISSN: | 0747-5632 |
| DOI: | 10.1016/j.chb.2014.05.014 |
| Popis: | With the emerging application of social and psychological concepts to human-robot interaction, we investigated the effects of occupational roles (security vs. healthcare), gender (male vs. female), and personality (extrovert vs. introvert) on user acceptance of a social robot. In a laboratory experiment, a robot performed two different roles of a healthcare and security to address the potential usage of social robots at home. During the task, the robot manifested different genders and personalities via nonverbal cues. The results showed that participants (n=164) preferred the robot with matching gender-occupational role and personality-occupational role stereotypes. This finding implies that the gender and personality of social robots do not monotonically influence user responses; instead, they interact with corresponding role stereotypes to affect user acceptance of social robots. In addition, personality-occupational role stereotypes showed a stronger effect on users' responses than gender-occupational role stereotypes. The overall results lay a foundation for designers to reduce the wide design spaces of social robots by grouping the various parameters under the big umbrella of social role stereotypes. |
| Databáze: | OpenAIRE |
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