Conference proceeding
Bounding Boxes in Practice: Design and Early Evaluation of a Video-Based PPE Compliance Monitoring Application for Time-Critical Care
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, pp 1-6
13 Apr 2026
Abstract
We describe the design and initial evaluation of a video-based explainable interface (XUI) for personal protective equipment (PPE) compliance monitoring in a dynamic medical setting of trauma resuscitation. The system integrates video input, a computer vision model for detecting PPE status, backend processing, and the video-based XUI. The initial UI underwent a major redesign and was evaluated with five nurse educators. Participants interacted with the XUI features, provided feedback on visual elements, and compared and ranked alternate design options. Using the results, we determined visuals for alert symbols, PPE status, and compliance metrics that support rapid PPE compliance monitoring among care providers. While standard computer vision outputs, such as bounding boxes, improve explainability in object detection models, we suggest moving beyond these model representations to enhance system usability in practice.
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Details
- Title
- Bounding Boxes in Practice: Design and Early Evaluation of a Video-Based PPE Compliance Monitoring Application for Time-Critical Care
- Creators
- Christine D. Ikponmwonba - Drexel UniversityVidhi Shah - Drexel UniversitySifan Yuan - Rutgers, The State University of New JerseyIvan Marsic - Rutgers, The State University of New JerseyRandall Burd - Children's NationalAleksandra Sarcevic - Drexel University
- Publication Details
- Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, pp 1-6
- Conference
- CHI EA '26: Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
- Series
- ACM Conferences
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 6
- Grant note
- National Institutes of Health (NIH): 5R01EB032819
We thank the medical staff at Children's National Hospital for participating in interviews. We also thank Tom Siyi from Rutgers University for translating our design ideas into functional prototypes. This research is the result of funding in whole or in part by the National Institutes of Health (NIH) award number 5R01EB032819. It is subject to the NIH Public Access Policy. Through acceptance of this federal funding, NIH has been given a right to make this manuscript publicly available in PubMed Central upon the Official Date of Publication, as defined by NIH.
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science; School of Computer and Information Sciences; Antoinette Westphal College of Media Arts and Design
- Web of Science ID
- WOS:001792737300314
- Scopus ID
- 2-s2.0-105038095412
- Other Identifier
- 991022173431504721