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Users' Affective and Cognitive Responses to Humanoid Robots in Different Expertise Service Contexts

Authors
Jung, YoonhyukCho, EunaeKim, Seongcheol
Issue Date
1-May-2021
Publisher
MARY ANN LIEBERT, INC
Keywords
humanoid; human& #8211; robot interaction; uncanny valley; trust
Citation
CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING, v.24, no.5, pp.300 - 306
Indexed
SSCI
SCOPUS
Journal Title
CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING
Volume
24
Number
5
Start Page
300
End Page
306
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/128063
DOI
10.1089/cyber.2020.0170
ISSN
2152-2715
Abstract
The uncanny valley (UCV) model is an influential human-robot interaction theory that explains the relationship between the resemblance that robots have to humans and attitudes toward robots. Despite its extraordinary worth, this model remains untested in certain respects. One current limitation is that the model has only been examined in general or context-free situations. Given that humanoids function in the world beyond laboratories, investigating the UCV in specific and actual situations is critical. Additionally, few studies have examined the impact of affective responses presented in the UCV to other appraisals of humanoids. To address these issues, this study explored affective and cognitive responses to humanoids in specific service situations. In particular, we examined the effect of affective responses on trust, which is regarded as a critical cognitive factor influencing technology adoption, in two service contexts: hotel reception (low expertise) and tutoring (high expertise). By providing a richer understanding of human both affective and cognitive reactions to humanoids, our findings expand the UCV theory and ultimately contribute to research regarding user adoption of service robots.
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