Taylor, A., Murakami, M., Kim, S., Chu, R., Riek, L.D. 2022. Proceedings of the ACM on Human-Computer Interaction. Vol. 6, Issue CSCW2. Article No.: 442 pp 1–40. DOI: https://dl.acm.org/doi/10.1145/3555543
ARTICLE
Evidence-Based Design Journal Clubs are formatted for 15-minute presentations and 45-minutes of discussion to provide an opportunity for attendees to interact with authors who recently published EBD papers or articles in peer-reviewed journals such as HERD. Learn as they share ways to put their research into practice.
Attendees will receive a link to the article in their registration confirmation along with the Zoom link to the webinar. Please read the article in advance and submit any questions here for the presenters to prepare.
Abstract:
The Emergency Department (ED) is a stressful, safety-critical environment that can be overcrowded, noisy, chaotic, and understaffed.
The built environment plays a key role in patient outcomes, experiences, and the mental health of healthcare workers (HCWs). However, once a space is built, it is difficult to change. The modularity and adaptability of new technologies, such as robots, could potentially help stakeholders mitigate some of these challenges; yet, there is a lack of research in this area, particularly in the ED.
In this paper, we address this gap by engaging HCWs in a research-through-design process utilizing design fiction to envision a future resilient ED. Here, robots scurry along the ceiling and provide help at the bedside, while smart furniture and walls provide spaces for privacy and calm. We co-created design prototypes of future intelligent systems that can modify the built environment to support resilience, then used to co-create a Design Catalog with HCWs that contains a collection of future technology prototypes contextualized within the ED.
We found that HCWs envisioned many ways for intelligent systems to help them reimagine the built environment, including ways to enhance HCW-patient communication, improve patient experience, support both HCW and patient safety, and use reconfigurable spaces to support privacy.
We hope our work inspires further exploration into using new technologies to reimagine and reconfigure the built environment to support resilient hospitals.
Angelique Taylor, PhD, is an Assistant Professor at Cornell Tech in the Information Science Department with a field membership in Computer Science. She directs the Artificial Intelligence & Robotics (AIR) Lab, which focuses on research in the field of human-robot interaction (HRI). Angelique's work is at the intersection of robotics, computer vision, and artificial intelligence. Her research lab designs intelligent systems that work alongside groups of people in real-world, safety-critical environments. These systems are realized through community engagement with stakeholders to design multi-robot, robot vision, and AR/VR systems.
Laurel Reik, PhD, is a professor of Computer Science and Engineering at UC San Diego, and also has appointments in the Department of Emergency Medicine, Contextual Robotics Institute, and Design Lab. Dr. Riek directs the Healthcare Robotics Lab, and leads research in human-robot teaming, assistive robotics, embodied AI, and health informatics, and builds intelligent systems which work proximately with people. Riek's current research projects have applications in acute care, neuro-rehabilitation, and home health. The lab is very interested in supporting health equity through community health efforts.
Host:
Kati Peditto, PhD, EDAC, WELL AP, is the Co-Director for the Human Experience Lab at Perkins&Will. She received her PhD in Human Behavior and Design from Cornell University and completed postdoctoral training in the Dept. of Design and Environmental Analysis. Her research focuses on providing equitable health environments for adolescents and young adults, ranging from pediatric cancer facilities to college health centers. She is the recipient of the 2018 New Investigator Award from The Center for Health Design, and a 2018 AIA-AAH Tuttle Fellow in Health Facility Planning and Design.