Anthropomorphism in human-centered AI: Determinants and consequences of applying human knowledge to AI agents

Citations

SCOPUS

4

초록

Anthropomorphism is defined as a tendency to apply human knowledge to a nonhuman target. Under this process, individuals perceive social characteristics from human-like cues in a nonhuman target, make sense of the situation in which they interact with the target, and behave in a way appropriate to the inferred situation. Acknowledging that anthropomorphism is the key mechanism in users' responses to human-AI interaction, this chapter reviewed literature on user experience in interacting with AI agents and reinterpreted their findings through the theoretical lens of anthropomorphism. The underlying mechanism of user experience reported in the literature was articulated, and the determinants of anthropomorphism were identified. Positive and negative consequences of anthropomorphism in the context of using a recommendation system were discussed. Potential solutions for the negative outcomes of anthropomorphism were also presented. © 2022 Elsevier Inc. All rights reserved.

키워드

AI agentAnthropomorphismHuman-knowledge activationMotivated cognitionRecommendation system
제목
Anthropomorphism in human-centered AI: Determinants and consequences of applying human knowledge to AI agents
저자
Sah, Young June
DOI
10.1016/B978-0-323-85648-5.00013-X
발행일
2022-01-01
유형
Book Chapter
저널명
Human-Centered Artificial Intelligence: Research and Applications
페이지
103 ~ 116