Supporting Healthcare Workflows with Smart Glasses: Insights from a Participatory Design Study on Post-Stroke Patient Positioning

dc.contributor.authorSchulz, Dominik
dc.contributor.authorKükemück, Silke
dc.contributor.authorBeckmann, Julia
dc.contributor.authorThiel, Katharina
dc.contributor.authorSchubert, Annalena
dc.contributor.authorJacobi, Timo
dc.contributor.authorPrilla, Michael
dc.contributor.authorWulf, Volker
dc.contributor.authorUnbehaun, David
dc.date.accessioned2025-06-18T04:31:18Z
dc.date.issued2025
dc.description.abstractThe shortage of healthcare practitioners in developed countries, combined with insufficient digital infrastructures and limited digital teaching opportunities in healthcare training, affects both patient care quality and the well-being of healthcare workers. To address this, innovative technologies have emerged to support professionals in learning complex interventions while alleviating workload pressures. This study focuses on smart glasses as a digital assistive learning tool in healthcare training. We conducted a study with 52 healthcare practitioners who used smart glasses to assist in patient positioning by following a predefined workflow based on the Bobath Concept. Through observations, interviews, and usability testing, we evaluated the system’s impact on learning experiences, workflow integration, and workload. Our findings suggest that smart glasses enhance learning and workflow integration, with variations in workload perception based on experience levels. However, several challenges remain, including issues with voice recognition, image quality, and maintaining focus on the patient. This research contributes to the ongoing discourse by providing recommendations for optimizing smart glasses in healthcare education and practice, emphasizing their role in bridging training gaps, supporting healthcare workflows, and enhancing the point of care experience.en
dc.identifier.doi10.48340/ecscw2025_cp03
dc.identifier.eissn2510-2591
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/5297
dc.language.isoen
dc.publisherEuropean Society for Socially Embedded Technologies (EUSSET)
dc.relation.ispartofProceedings of the 23rd EUSSET Conference on Computer Supported Cooperative Work
dc.relation.ispartofseriesReports of the European Society for Socially Embedded Technologies
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSmart Glasses
dc.subjectHealthcare Tech
dc.subjectAssistive Tech
dc.subjectMedical Wearables
dc.subjectHMI
dc.subjectDigital Health
dc.titleSupporting Healthcare Workflows with Smart Glasses: Insights from a Participatory Design Study on Post-Stroke Patient Positioningen
dc.typeText/Conference Paper
gi.citations.count0
gi.conference.dateJune 30th – July 4th, 2025
gi.conference.locationNewcastle upon Tyne, United Kingdom
gi.conference.reviewfull
gi.conference.sessiontitleConference Papers

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