Abstract
Violence is a significant public health issue. Interventions to reduce violence rely on data about where incidents occur. Cities have historically used incomplete law enforcement crime data, but many are shifting toward data collected from hospital patients via the Cardiff Model to form a more complete understanding of violence. Still, location data is wrought with issues related to completeness, quality, and privacy. For example, if a patient feels that sharing a detailed location may present them with additional risks, such as undesired police involvement or retaliatory violence, they may be unwilling or unable to share. Consequently, survivors of violence who are the most vulnerable may remain the most at risk. We have designed a user interface and mapping algorithm to confront these challenges and conducted an experiment with emergency department patients. The results indicate a significant improvement in location data obtained using the interface compared to the existing screening interview.
| Original language | Undefined/Unknown |
|---|---|
| Title of host publication | CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 1-18 |
| Number of pages | 19 |
| DOIs | |
| State | Published - Apr 26 2025 |
| Event | CHI Conference on Human Factors in Computing System - Yokohama, Japan Duration: Apr 26 2025 → May 1 2025 https://chi2025.acm.org/ |
Conference
| Conference | CHI Conference on Human Factors in Computing System |
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| Country/Territory | Japan |
| City | Yokohama |
| Period | 04/26/25 → 05/1/25 |
| Internet address |