Designing Chatbots to Support Victims and Survivors of Domestic Abuse
Rahime Belen Saglam, Jason R. C. Nurse, Lisa Sugiura

TL;DR
This paper explores how AI and rule-based chatbots can be designed to effectively and safely support victims and survivors of domestic abuse, emphasizing safety, privacy, and emotional support considerations.
Contribution
It provides a set of design considerations and best practices for developing chatbots tailored to domestic abuse support, based on expert interviews and content analysis.
Findings
Identifies key design practices for safe and effective chatbots.
Highlights situations where AI systems should not be used.
Emphasizes the importance of transparency and emotional support.
Abstract
Objective: Domestic abuse cases have risen significantly over the last four years, in part due to the COVID-19 pandemic and the challenges for victims and survivors in accessing support. In this study, we investigate the role that chatbots - Artificial Intelligence (AI) and rule-based - may play in supporting victims/survivors in situations such as these or where direct access to help is limited. Methods: Interviews were conducted with experts working in domestic abuse support services and organizations (e.g., charities, law enforcement) and the content of websites of related support-service providers was collected. Thematic content analysis was then applied to assess and extract insights from the interview data and the content on victim-support websites. We also reviewed pertinent chatbot literature to reflect on studies that may inform design principles and interaction patterns for…
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Taxonomy
TopicsGrief, Bereavement, and Mental Health
