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Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2025CC BY V4.0, Open
Conference proceeding
Navigating Stress Data Sharing: Guardrails for Effective Physiological Data Sharing in High-Stress Training Environments
CHIWORK '25: Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work, pp 1-14
22 Jun 2025
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Abstract
Research indicates that individuals are eager to share stress data for reflection and support. Critically, this highlights the need for guardrails to ensure that physiological data sharing enhances well-being without compromising privacy, security, or autonomy. To explore this, we leveraged a Stress Reflection system, which allows open-sharing of stress data within a high-stress paramedic training environment focused on collaboration. Our study aimed to identify paramedic trainees’ potential concerns to place necessary guardrails for safe data sharing; however, our findings revealed that participants generally expressed few concerns, if any, and instead had far-reaching ideas about the potential benefits. In other words, participants did not understand the gravity of how information could do harm. With this in mind, we present this overexuberance for information, sharing alongside it voiced concerns to outline where guardrails should be implemented, ensuring support while protecting participants in ways they may not fully recognize.
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Details
- Title
- Navigating Stress Data Sharing: Guardrails for Effective Physiological Data Sharing in High-Stress Training Environments
- Creators
- Surely Akiri - University of Maryland, Baltimore CountyVasundhara Joshi - University of Maryland, BaltimoreGary Williams - University of Maryland, Baltimore CountyHelena Mentis (Corresponding Author) - Drexel University, Information ScienceAndrea Kleinsmith - University of Maryland, Baltimore County
- Publication Details
- CHIWORK '25: Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work, pp 1-14
- Publisher
- Association for Computing Machinery
- Number of pages
- 14
- Grant note
- National Science Foundation: 181585
This material is based upon work supported by the National Science Foundation under Grant No. 181585.
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:001543464600019
- Scopus ID
- 2-s2.0-105012241335
- Other Identifier
- 991022062816804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Ergonomics