Designing and Evaluating a Chatbot for Survivors of Image-Based Sexual Abuse
A user study (n=25) comparing a purpose-built chatbot against conventional internet search as a support channel for survivors of image-based sexual abuse (IBSA). The study evaluates the chatbot on information organization and perceived emotional support relative to self-directed search.
Publisher
ACM (Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems); Seoul National University
Published
29 Apr 2022
Added
today
Key Findings
- Participants rated the chatbot more favorably than internet search for organizing relevant information about IBSA recourse and support
- The chatbot was also rated more favorably for perceived emotional support during the help-seeking process
- The authors derive design implications for future IBSA-support conversational tools
Methodology Notes
Between/within-subjects user study, n=25, comparing chatbot interaction against internet search. ACM Digital Library full text was not directly fetchable (bot-blocked); bibliographic details drawn from Crossref plus corroborating index records (SNU institutional repository, ResearchGate).
Sources
ACM Digital Library (primary)
Archived snapshot (Wayback Machine) — preserved against link rot
Authors
Wookjae Maeng, Joonhwan Lee
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Cite This
APA
Wookjae Maeng, Joonhwan Lee (2022). Designing and Evaluating a Chatbot for Survivors of Image-Based Sexual Abuse. ACM (Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems); Seoul National University. https://dl.acm.org/doi/10.1145/3491102.3517629