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Pervasive Computing Paradigms for Mental Health. 9th International Conference, MindCare 2019, Buenos Aires, Argentina, April 23–24, 2019, Proceedings

Research Article

Clara: Design of a New System for Passive Sensing of Depression, Stress and Anxiety in the Workplace

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  • @INPROCEEDINGS{10.1007/978-3-030-25872-6_2,
        author={Juwon Lee and Megan Lam and Caleb Chiu},
        title={Clara: Design of a New System for Passive Sensing of Depression, Stress and Anxiety in the Workplace},
        proceedings={Pervasive Computing Paradigms for Mental Health. 9th International Conference, MindCare 2019, Buenos Aires, Argentina, April 23--24, 2019, Proceedings},
        proceedings_a={MINDCARE},
        year={2019},
        month={7},
        keywords={Workplace mental health Passive sensing Machine learning Depression Stress Anxiety},
        doi={10.1007/978-3-030-25872-6_2}
    }
    
  • Juwon Lee
    Megan Lam
    Caleb Chiu
    Year: 2019
    Clara: Design of a New System for Passive Sensing of Depression, Stress and Anxiety in the Workplace
    MINDCARE
    Springer
    DOI: 10.1007/978-3-030-25872-6_2
Juwon Lee1,*, Megan Lam2,*, Caleb Chiu2,*
  • 1: The University of Hong Kong
  • 2: Neurum Health
*Contact email: u3534591@connect.hku.hk, meg@neurumhealth.com, caleb@neurumhealth.com

Abstract

Collective evidence from research on the detriment of mental ill-health in the workplace consistently points to the need for better management of workplace mental health. However, difficulty in making a reliable, unobtrusive measurement of an employee’s mental health remains an obstacle in the way of effective interventions at an organizational level. In this paper, a system named Clara is proposed with aims to enable passive measurement, and hence effective management, of workplace mental health. A literature review of different approaches to measure depression, stress, and anxiety is presented, followed by a discussion on the design principles that guided the development of Clara. The overarching system architecture is then outlined, and individual components of the system are explored in finer details. The paper illustrates how Clara, with its passive measurement techniques, has the potential to enable objective assessment of workplace depression, stress and anxiety, allowing for delivery of timely interventions.

Keywords
Workplace mental health Passive sensing Machine learning Depression Stress Anxiety
Published
2019-07-11
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-25872-6_2
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