at Google ScholarTitle data
Schemmer, Max ; Kühl, Niklas ; Benz, Carina ; Bartos, Andrea ; Satzger, Gerhard:
Appropriate Reliance on AI Advice : Conceptualization and the Effect of Explanations.
In:
Proceedings of the 28th International Conference on Intelligent User Interfaces : IUI '23. -
New York, NY, USA
: Association for Computing Machinery
,
2023
. - pp. 410-422
ISBN 979-8-4007-0106-1
DOI: https://doi.org/10.1145/3581641.3584066
Abstract in another language
AI advice is becoming increasingly popular, e.g., in investment and medical treatment decisions. As this advice is typically imperfect, decision-makers have to exert discretion as to whether actually follow that advice: they have to “appropriately” rely on correct and turn down incorrect advice. However, current research on appropriate reliance still lacks a common definition as well as an operational measurement concept. Additionally, no in-depth behavioral experiments have been conducted that help understand the factors influencing this behavior. In this paper, we propose Appropriateness of Reliance (AoR) as an underlying, quantifiable two-dimensional measurement concept. We develop a research model that analyzes the effect of providing explanations for AI advice. In an experiment with 200 participants, we demonstrate how these explanations influence the AoR, and, thus, the effectiveness of AI advice. Our work contributes fundamental concepts for the analysis of reliance behavior and the purposeful design of AI advisors.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Human-AI Complementarity; Appropriate Reliance; Human-AI Collaboration; Explainable AI |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems Management > Chair Information Systems Management - Univ.-Prof. Dr.-Ing. Niklas Kühl |
| Result of work at the UBT: | No |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
| Date Deposited: | 03 May 2023 08:48 |
| Last Modified: | 03 May 2023 08:48 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76159 |