Loading…

Understanding the User Perception and Experience of Interactive Algorithmic Recourse Customization

Generating actionable algorithmic recourse requires understanding each user’s preferences. Users provide their relevant information, and the system uses it to generate recourse that can be easily followed by individual users. To gain insight into users’ perceptions and experiences of this novel form...

Full description

Saved in:
Bibliographic Details
Published in:ACM transactions on computer-human interaction 2024-08, Vol.31 (3), p.1-25, Article 43
Main Authors: Koh, Seunghun, Kim, Byung Hyung, Jo, Sungho
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Generating actionable algorithmic recourse requires understanding each user’s preferences. Users provide their relevant information, and the system uses it to generate recourse that can be easily followed by individual users. To gain insight into users’ perceptions and experiences of this novel form of interaction, we developed a prototype that enables users to provide the required information for algorithmic recourse customization. With the prototype, we conducted a user study where participants customized the recourse. Through both quantitative and qualitative analysis, we found that: (1) repetitive user-AI interaction not only enables users to customize the recourse but also explore other possibilities, (2) users prefer recourse customization method that offers high controllability and understandability, and (3) degree of customization users want depends on various factors. With these findings, we discuss the implications for systems that aim to provide actionable algorithmic recourse in real-life situations.
ISSN:1073-0516
1557-7325
DOI:10.1145/3674503