1
Return

If it helps then it doesn't matter: Exploring Non-User Views on Chatbot Companionship through Story Completion

delete2026-03-01
delete0
PRE
AI
K
Kollig, Faye *
F
Fiesler, Casey
DOI:10.1145/3799445delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Companion chatbots are conversational AI tools used or designed for emotional and relational support. With the potential for significant benefits as well as risks, they have been uniquely positioned as human surrogates and technical innovations. In this study, we explore perceptions of possible futures for this technology from the perspective of non-users; one goal of examining non-use is to reveal anxieties and assumptions about technology and its role in society, complementing user studies. We conducted a story completion study with 163 English-speaking non-user participants across age groups in which they finished story stems about a socially vulnerable user interacting with a companion chatbot. Despite participants' own disinterest, resistance, or disenchantment to the technology, they largely imagined positive or neutral outcomes for a protagonist they sympathized with and wished well. Overall, participants' stories and reflections were marked by ambivalence about the technology itself and doubt about whether it could be human enough to provide true companionship, and took a practical tone, focusing on the user's needs and various ways the chatbot might meet them. We discuss contributions to scholarship on both non-use and attitudes about chatbot companionship, highlighting the importance of considering moderate, excluded perspectives on controversial emergent technologies.
Keywords:
non-use
technology resistance
companion chatbots
mental health chatbots
story completion

Journal

P
PROCEEDINGS OF THE ACM ON HUMAN COMPUTER INTERACTION
IF:
0
Papers:
392
Citations:
0

Organization

University of Colorado System cover
University of Colorado System
Scholars:
6.2W
Papers: 5.5W
Citations: 1.8K
Cited Papers

Cited Papers

Citing Papers

Citing Papers