User Research and Early Usability Evaluation of a Digitally Enabled System to Benefit Sedentary Workforce

Layas, Fatma and Zhang, Yajie and Stokes, Timothy and Jenkins, Sean (2023) User Research and Early Usability Evaluation of a Digitally Enabled System to Benefit Sedentary Workforce. In: 6th International Conference on Computing, Electronics & Communications Engineering, August 14th - August 16th 2023, University of Wales Trinity Saint David, Swansea. (Unpublished)

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Sitting for long periods at work can worsen the health of the workforce physically and mentally. A balanced combination of sitting, standing, and moving over the workday has been suggested to maintain a healthy lifestyle. However, addressing sedentary behaviours at work is a challenge for many workplaces, so a digitally enabled sensor system targeted at desk-based workers is being developed, which aims to use smart sensor technologies and algorithms to monitor, promote and analyse posture. This research aims to understand the users’ (employees and employers) needs, challenges, motivations, and intentions, to inform the iterative development of this digitally enabled health and wellbeing system. A multimodal method has been adopted including user research (online survey and focus group), usability and user experience evaluation (hardware and software testing). We found that there is potential to have an engaging and interactive tool for the employees’ wellbeing, while maintaining individual privacy and using aggregated data for employers’ decision-making. In the software development, screen-based eye tracking was combined with ‘think aloud’ approach to improve interface design and resolve usability issues. Pressure mapping was applied in dynamic sitting to help validate the hardware design and for algorithm development. Users also contributed to hardware design, placement, and fabric selection. In the research and development journey, co-development with users has helped understand and align their needs, support effective design and development, and identify areas of human computer interaction that can be further improved in future iterations of the system

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Research Innovation and Enterprise Services
Depositing User: Natalie Williams
Date Deposited: 25 Aug 2023 08:43
Last Modified: 12 Dec 2023 13:23

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