Smart technologies for long-term stress monitoring at work

R.D. Kocielnik, N. Sidorova, F.M. Maggi, M. Ouwerkerk, J.H.D.M. Westerink

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

69 Citations (Scopus)
4 Downloads (Pure)

Abstract

Due to the growing pace of life, stress became one of the major factors causing health problems. We have developed a framework for measuring stress in real-life conditions continuously and unobtrusively. In order to provide meaningful, useful and actionable information, we present stress information, derived from sensor measurements, in the context of person's activities. In this paper, we describe our framework, discuss how we address arising challenges and evaluate our approach on basis of the field studies we have conducted. The main results of the evaluation are that the results of long-term measurements of stress reveal people information about their behavioral patterns that they perceive as meaningful and useful, and trigger their ideas about behavioral changes necessary to achieve a better stress balance.
Original languageEnglish
Title of host publicationProceedings of the 26th IEEE Conference on Computer-Based Medical Systems (CBMS'13, Porto, Portugal, June 20-22, 2013)
PublisherIEEE Computer Society
Pages53-58
ISBN (Print)978-1-4799-1053-3
DOIs
Publication statusPublished - 2013
Eventconference; 26th IEEE Conference on Computer-Based Medical Systems; 2013-06-20; 2013-06-22 -
Duration: 20 Jun 201322 Jun 2013

Conference

Conferenceconference; 26th IEEE Conference on Computer-Based Medical Systems; 2013-06-20; 2013-06-22
Period20/06/1322/06/13
Other26th IEEE Conference on Computer-Based Medical Systems

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