In this paper we introduce PsychLog (http://www.psychlog.com/), a mobile experience sampling platform that allows real-time collection of psychological, behavioral and contextual data for research and clinical applications. The mobile platform allows administering self-report questionnaires to collect user's quality of experience in its various cognitive, affective and motivational dimensions. The researcher can schedule the administration of the questionnaires by setting a trigger, which can be launched at specific times or randomly during a day. A wireless electrocardiogram (ECG) equipped with an accelerometer allows monitoring levels of activity and heart rate information. PsychLog is freely available for Windows mobile and its open-source code can be configured to meet specific experimental or clinical requirements. Here, we provide an overview of the system and its future developments.

Gaggioli, A., Pioggia, G., Tartarisco, G., Cipresso, P., Riva, G., PsychLog: A Personal Data Collection Platform for Psychophysiological Research, <<ANNUAL REVIEW OF CYBERTHERAPY AND TELEMEDICINE>>, 2011; 9 (N/A): 82-84 [http://hdl.handle.net/10807/55965]

PsychLog: A Personal Data Collection Platform for Psychophysiological Research

Gaggioli, Andrea;Cipresso, Pietro;Riva, Giuseppe
2011

Abstract

In this paper we introduce PsychLog (http://www.psychlog.com/), a mobile experience sampling platform that allows real-time collection of psychological, behavioral and contextual data for research and clinical applications. The mobile platform allows administering self-report questionnaires to collect user's quality of experience in its various cognitive, affective and motivational dimensions. The researcher can schedule the administration of the questionnaires by setting a trigger, which can be launched at specific times or randomly during a day. A wireless electrocardiogram (ECG) equipped with an accelerometer allows monitoring levels of activity and heart rate information. PsychLog is freely available for Windows mobile and its open-source code can be configured to meet specific experimental or clinical requirements. Here, we provide an overview of the system and its future developments.
2011
Inglese
Gaggioli, A., Pioggia, G., Tartarisco, G., Cipresso, P., Riva, G., PsychLog: A Personal Data Collection Platform for Psychophysiological Research, <<ANNUAL REVIEW OF CYBERTHERAPY AND TELEMEDICINE>>, 2011; 9 (N/A): 82-84 [http://hdl.handle.net/10807/55965]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/55965
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