Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
12-2024
Abstract
Algorithms have increasing influence on our daily decisions, especially when the recommendations are presented by human-like AI agents. This study applies the Theory of Effective Use to investigate how the fit between the user’s role expectation for an AI agent and the agent’s interaction style impacts AI advice adoption. We proposed a new concept termed Perceived Expectation-System Fit (PESF) and empirically examined its impact on user perceptions and advice acceptance. We found that low PESF reduces advice acceptance by diminishing cognitive and affective trust in the AI agent. Furthermore, increased algorithm transparency increases PESF's impact on decision-making. Our findings provide both practical implications and theoretical contributions to our understanding of effective system use in the context of human-AI interaction.
Keywords
AI agents, AI advice adoption, Advice acceptance
Discipline
Artificial Intelligence and Robotics | Graphics and Human Computer Interfaces
Research Areas
Information Systems and Management
Publication
45th International Conference on Information Systems (ICIS 2024): Bangkok, December 15-18: Proceedings
First Page
1
Last Page
16
Publisher
AIS
City or Country
USA
Citation
CAI, Jingyuan and NAH, Fiona Fui-hoon.
User acceptance of advice by AI agents: Expectation-system fit perspective. (2024). 45th International Conference on Information Systems (ICIS 2024): Bangkok, December 15-18: Proceedings. 1-16.
Available at: https://ink.library.smu.edu.sg/sis_research/9992
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://aisel.aisnet.org/icis2024/humtechinter/humtechinter/25/
Included in
Artificial Intelligence and Robotics Commons, Graphics and Human Computer Interfaces Commons
