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 | English |
|---|---|
| Title of host publication | CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9798400713941 |
| DOIs | |
| State | Published - Apr 26 2025 |
| Externally published | Yes |
| Event | 2025 CHI Conference on Human Factors in Computing Systems, CHI 2025 - Yokohama, Japan Duration: Apr 26 2025 → May 1 2025 |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
|---|
Conference
| Conference | 2025 CHI Conference on Human Factors in Computing Systems, CHI 2025 |
|---|---|
| Country/Territory | Japan |
| City | Yokohama |
| Period | 04/26/25 → 05/1/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 16 Peace, Justice and Strong Institutions
Scopus Subject Areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software
Keywords
- field studies
- geographic data
- health care systems
- visualization
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