New methods for stress assessment and monitoring at the workplace

Carneiro, Davide, Novais, Paulo, Augusto, Juan Carlos ORCID logoORCID: and Payne, Nicola ORCID logoORCID: (2019) New methods for stress assessment and monitoring at the workplace. IEEE Transactions on Affective Computing, 10 (2) . pp. 237-254. ISSN 1949-3045 [Article] (doi:10.1109/TAFFC.2017.2699633)

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The topic of stress is nowadays a very important one, not only in research but on social life in general. People are increasingly aware of this problem and its consequences at several levels: health, social life, work, quality of life, etc. This resulted in a significant increase in the search for devices and applications to measure and manage stress in real-time. Recent technological and scientific evolution fosters this interest with the development of new methods and approaches. In this paper we survey these new methods for stress assessment, focusing especially on those that are suited for the workplace: one of today’s major sources of stress. We contrast them with more traditional methods and compare them between themselves, evaluating nine characteristics. Given the diversity of methods that exist nowadays, this work facilitates the stakeholders’ decision towards which one to use, based on how much their organization values aspects such as privacy, accuracy, cost-effectiveness or intrusiveness

Item Type: Article
Keywords (uncontrolled): Stress, Human-Computer Interaction, Survey, Ambient Intelligence
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 21810
Notes on copyright: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Nicola Payne
Date Deposited: 11 May 2017 15:45
Last Modified: 29 Nov 2022 19:04

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