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Erschienen in:
Virtual-Reality Music-Based Elicitation of Awe: When Silence Is Better Than Thousands Sounds Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

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

verfasst von : Juwon Lee, Megan Lam, Caleb Chiu

Erschienen in: Pervasive Computing Paradigms for Mental Health

Verlag: Springer International Publishing

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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.

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Vorheriges Kapitel Virtual-Reality Music-Based Elicitation of Awe: When Silence Is Better Than Thousands Sounds
Nächstes Kapitel System of Nudge Theory-Based ICT Applications for Older Citizens: The SENIOR Project
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Metadaten
Titel
Clara: Design of a New System for Passive Sensing of Depression, Stress and Anxiety in the Workplace
verfasst von
Juwon Lee
Megan Lam
Caleb Chiu
Copyright-Jahr
2019
Buch
Pervasive Computing Paradigms for Mental Health

Print ISBN: 978-3-030-25871-9

Electronic ISBN: 978-3-030-25872-6

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-25872-6_2