Conference proceeding
Enhancing Stress Understanding Through Team Reflection: Technology-Driven Insights in High-Stress Training Scenarios
Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work, pp 1-18
25 Jun 2024
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Systems aimed at stress awareness and reflection training by those in high-stress work environments may aid the development of stress management skills to alleviate and manage future workplace traumas. However, there is a notable gap in research addressing the insights and awareness individuals gain about their stress when they engage in team-based reflection on team-based data. To this end, we designed the Stress Reflection system as a proof-of-concept educational tool to foster and promote stress reflection and awareness by presenting trainees with both internal and external behavioral information, i.e., electrodermal activity (EDA) and corresponding situated simulation videos. We conducted a study within paramedic simulation training to qualitatively assess the insights gained and the depth of reflection achieved by trainees while interacting with each other and their data. Our findings revealed that reflecting together facilitated valuable insights into the emotions, self-expression, and behaviors that manifest during periods of stress. Trainees interacting collaboratively demonstrated emotional intelligence, predominantly engaging in higher-level dialogic reflections. Nonetheless, similar to other studies, transformative and critical reflection was largely absent. We conclude by discussing the primary findings and recommendations for expanding reflective frameworks to assess reflection in collaborative settings. This research contributes to the HCI community by offering empirically supported insights into team-based stress reflection in work and its implications for stress management in high-stress work environments.
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Details
- Title
- Enhancing Stress Understanding Through Team Reflection: Technology-Driven Insights in High-Stress Training Scenarios
- Creators
- Surely Akiri - University of Maryland, Baltimore CountyVasundhara Misal - University of Maryland, Baltimore CountySanaz Taherzadeh - University of DelawareJ Lee Jenkins - Johns Hopkins MedicineGary Williams - University of Maryland, Baltimore CountyHelena Mentis - University of Maryland, Baltimore CountyAndrea Kleinsmith - University of Maryland, Baltimore CountyASSOC COMPUTING MACHINERY
- Contributors
- Marta E. Cecchinato (Editor)Marios Constantinides (Editor)Sandy Gould (Editor)Carine Lallemand (Editor)Mohit Jain (Editor)
- Publication Details
- Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work, pp 1-18
- Conference
- CHIWORK 2024: Annual Symposium on Human-Computer Interaction for Work
- Series
- ACM Other Conferences
- Publisher
- ACM
- Number of pages
- 18
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:001266116300011
- Scopus ID
- 2-s2.0-85197815742
- Other Identifier
- 991021916915204721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Interdisciplinary Applications