Using Heart Rate Monitors to Detect Mental Stress
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
GSR and HRV: its application in clinical diagnosis
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
Empowerment through seamfulness: smart phones in everyday life
Personal and Ubiquitous Computing
Personal and Ubiquitous Computing
Modeling stress recognition in typical virtual environments
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
A mobile biosensor to detect cardiorespiratory activity for stress tracking
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
Psychometric reliability of the NeuroVR-based virtual version of the multiple errands test
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
A virtual reality test for the assessment of cognitive deficits: usability and perspectives
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
Smartphone based experience sampling of stress-related events
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
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Traditional stress management techniques require significant professional training and expertise to administer as well as people, time, and resources, which can be difficult to achieve. Thanks to the recent progress and diffusion of mobile electronic devices, it is possible today to set up and test an effective self-help stress management program outside a clinical setting. Although the efficacy of mobile self-help approaches have been tested through several studies, and promising applications can be developed, as yet no study has tested the feasibility of mobile platforms to actually elicit core affective states. In this study we used an advanced approach to assess the efficacy of these mobile platforms by recording and processing many psychophysiological measures, which extend the capabilities of the standard self-report questionnaires, objectifying the subjective. Our results seem to show the efficacy of inducing positive and negative affective states, using smart phones.