Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/50548

TitleNew methods for stress assessment and monitoring at the workplace
Author(s)Carneiro, Davide Rua
Novais, Paulo
Augusto, Juan Carlos
Payne, Nicola
KeywordsStress
Human-Computer Interaction
Survey
Ambient Intelligence
Issue date2019
PublisherIEEE
JournalIeee Transactions on Affective Computing
Abstract(s)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.
TypeArticle
URIhttp://hdl.handle.net/1822/50548
DOI10.1109/TAFFC.2017.2699633
ISSN1949-3045
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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