Research Article
Computerized experience-sampling approach for realtime assessment of stress
@ARTICLE{10.4108/trans.amsys.01-06.2013.e5, author={S. Serino and P. Cipresso and G. Tartarisco and G. Baldus and D. Corda and G. Pioggia and A. Gaggioli and G. Riva}, title={Computerized experience-sampling approach for realtime assessment of stress}, journal={EAI Endorsed Transactions on Ambient Systems}, volume={1}, number={01-06}, publisher={ICST}, journal_a={AMSYS}, year={2013}, month={3}, keywords={experience-sampling method, pervasive computing, psychological stress, psychophysiology, heart rate variability.}, doi={10.4108/trans.amsys.01-06.2013.e5} }- S. Serino
P. Cipresso
G. Tartarisco
G. Baldus
D. Corda
G. Pioggia
A. Gaggioli
G. Riva
Year: 2013
Computerized experience-sampling approach for realtime assessment of stress
AMSYS
ICST
DOI: 10.4108/trans.amsys.01-06.2013.e5
Abstract
The incredible advancement in the ICT sector has challenged technology developers, designers, and psychologists to reflect on how to develop technologies to promote mental health. Computerized experience-sampling method appears to be a promising assessment approach to investigate the real-time fluctuation of experience in daily life in order to detect stressful events. At this purpose, we developed PsychLog (http://psychlog.com) a free open-source mobile experience sampling platform that allows psychophysiological data to be collected, aggregated, visualized and collated into reports. Results showed a good classification of relaxing and stressful events, defining the two groups with psychological analysis and verifying the discrimination with physiological measures. Within the paradigm of Positive Technology, our innovative approach offers for researchers and clinicians new effective opportunities for the assessment and treatment of the psychological stress in daily situations.
Copyright © 2013 Serino et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
