Domestic violence is a prevalent and complicated issue that can have detrimental effects on the survivors, their families, and communities. Survivors are often reluctant to divulge their experiences to others in person for social, emotional, privacy, or cultural reasons. Consequently, many are not actively seeking support that meets their needs. Conversational agents, a form of technology support, hold great promise for facilitating counseling and support by promoting self-disclosure and enhancing user engagement. To address the knowledge gaps in design principles for conversational agents for DV survivors, we conducted in-depth interviews with 11 professionals working with domestic violence survivors. After analyzing the interview transcripts and related literature, we identified several meta-requirements and categorized them into four categories —conversation, language, support, and trust. We further grouped these meta-requirements into several design principles. Our work lays the foundation for design science research in designing and developing conversational agents to support domestic violence survivors.


Paper Number 1317; Track Design; Complete Paper



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