PsychLog: A personal data collection platform for psychophysiological research

Andrea Gaggioli, Giovanni Pioggia, Gennaro Tartarisco, Pietro Cipresso, Giuseppe Riva

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)82-84
Number of pages3
JournalAnnual Review of CyberTherapy and Telemedicine
Volume9
Issue number1
Publication statusPublished - 2011

Fingerprint

Data privacy
Electrocardiography
Accelerometers
Sampling
Monitoring
Research
Self Report
Appointments and Schedules
Heart Rate
Research Personnel
Psychology
Surveys and Questionnaires
Ecological Momentary Assessment

Keywords

  • Accellerometer
  • Ecological momentary assessment
  • Electrocardiogram
  • Smartphones
  • Wearable sensors

ASJC Scopus subject areas

  • Rehabilitation
  • Computer Science (miscellaneous)
  • Psychology (miscellaneous)
  • Neuroscience (miscellaneous)

Cite this

PsychLog : A personal data collection platform for psychophysiological research. / Gaggioli, Andrea; Pioggia, Giovanni; Tartarisco, Gennaro; Cipresso, Pietro; Riva, Giuseppe.

In: Annual Review of CyberTherapy and Telemedicine, Vol. 9, No. 1, 2011, p. 82-84.

Research output: Contribution to journalArticle

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