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Can We Trust an AI Agent? Interaction Effects of Its Machine Learning Performance and Digital Character
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Publication Year
2024-01-01
Journal
Proceedings of the Annual Hawaii International Conference on System Sciences
Publisher
IEEE Computer Society
Citation
Proceedings of the Annual Hawaii International Conference on System Sciences, pp.3926-3936
Keyword
artificial intelligenceavatardigital charactersdigital humanmachine learningtrust
Mesh Keyword
AvatarDigital charactersDigital humansInteraction effectKey factorsLearning performanceMachine-learningScope of applicationTrustUser attitudes
All Science Classification Codes (ASJC)
Engineering (all)
Abstract
AI-powered digital characters (i.e., AI agents) are expanding their scope of application to various fields. However, research on the key factors influencing AI users' attitude is insufficient. This study investigates the role of machine learning (ML) performance (as the behavioral/intelligence realism of AI agents) in determining users' trust. The study further investigates the interaction role of different forms of digital character (as the form realism of AI agents) in the relationship between ML performance and trust. The findings achieved from an experimental setting provide a novel understanding of human-AI interaction, expand academic understanding of AI anthropomorphism, and suggest new research directions for AI-powered digital characters. The results will also guide business practitioners in developing various AI services.
ISSN
1530-1605
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/37106
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85199768398&origin=inward
Journal URL
https://scholarspace.manoa.hawaii.edu/handle/10125/39610
Type
Conference
Funding
This work was supported by Korea Institute for Advancement of Technology(KIAT) grant funded by the Korea Government(MOTIE) (P0020632, HRD Program for Industrial Innovation).
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Kang, Ju Young Image
Kang, Ju Young강주영
Department of Business Intelligence
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