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  4. User-Perception of a Webcam-Based Intervention System for Healthy Habits at Computer Workstations
 
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2023
Conference Paper
Title

User-Perception of a Webcam-Based Intervention System for Healthy Habits at Computer Workstations

Abstract
Fueled by the ongoing digitalization, the amount of computer-based work is on the rise. Employees increasingly spend large parts of their day in front of computer workstations. While this type of work means less physical effort, it can nevertheless cause a range of health problems such as eye strain, back pain, wrist pain, and muscle fatigue and, in the long run, can lead to serious problems. Although some monitoring systems for health-related parameters have been developed so far, few of them provide interventions during work. Also, empirical insights on how users actually perceive such systems are still missing. Hence in our work, we report on first results regarding the user perception of such systems based on CareCam, a webcam-based system for health-promoting interventions. Based on user feedback from real-world usage of the system for one week, we derive insights for the further development of such systems.
Author(s)
Schmidt, Angelina
Univ. Rostock  
Kraft, Dimitri  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Lambusch, Fabienne
Univ. Rostock  
Fellmann, Michael
Univ. Rostock  
Mainwork
BIOSTEC 2023, 16th International Joint Conference on Biomedical Engineering Systems and Technologies. Proceedings. Vol.5: HEALTHINF  
Conference
International Joint Conference on Biomedical Engineering Systems and Technologies 2023  
International Conference on Health Informatics 2023  
Open Access
File(s)
Download (1.3 MB)
Rights
CC BY-NC-ND 4.0: Creative Commons Attribution-NonCommercial-NoDerivatives
DOI
10.5220/0011776100003414
10.24406/publica-2521
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Branche: Healthcare

  • Research Line: Human computer interaction (HCI)

  • LTA: Monitoring and control of processes and systems

  • Machine learning

  • Employee health-management

  • Research Line: Human computer interaction (HCI)

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