Conference proceeding
Simple But Iconic: Implications for Designing Icons Representing Delays in Time-Critical Medical Events
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, pp 1-8
11 May 2024
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Decision-support tools that increase awareness of time-critical pending tasks can help reduce delays during life-saving interventions. However, conveying the urgency of tasks through visual alerts remains a challenge. This case study describes our design and evaluation of delay alerts represented by icons within a decision-support system for emergency medical events such as trauma resuscitation. We used iterative sketching to design a series of icons for three delay alerts and two online surveys with a total of 55 clinicians to evaluate the icons. Although we have prioritized interpretable icons based on common icon design principles, clinicians preferred the simplest rather than the most interpretable icons. This case study contributes design guidelines for icons representing complex processes and concepts that can be applied to other types of time-critical teamwork.
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Details
- Title
- Simple But Iconic: Implications for Designing Icons Representing Delays in Time-Critical Medical Events
- Creators
- Katherine Ann Zellner - Drexel UniversityVidhi Shah - College of Computing and Informatics, Drexel University, United StatesAleksandra Sarcevic - Drexel University
- Contributors
- Florian Floyd Mueller (Editor) - Monash UniversityPenny Kyburz (Editor) - Australian National UniversityJulie R. Williamson (Editor) - University of GlasgowCorina Sas (Editor) - Lancaster University
- Publication Details
- Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, pp 1-8
- Conference
- CHI '24: CHI Conference on Human Factors in Computing Systems
- Series
- ACM Conferences
- Publisher
- ACM; NEW YORK
- Number of pages
- 8
- Grant note
- National Science Foundation: IIS-1763509
We thank the staff at Children's National Hospital for participating in this research. This research was funded by the National Science Foundation under the research grant number IIS-1763509. We also thank our research collaborators, Randall S. Burd, MD, PhD, Travis Sullivan, MD, Ryan Dixon, and Waverly Gestrich-Thompson.
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:001227587700088
- Scopus ID
- 2-s2.0-85194191740
- Other Identifier
- 991021877042704721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods