A mobile data collection platform for mental health research

Andrea Gaggioli, Pietro Cipresso, Giuseppe Riva, Giovanni Pioggia, Gennaro Tartarisco, Giovanni Baldus, Daniele Corda

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

96 Citazioni (Scopus)

Abstract

Ubiquitous computing technologies offer exciting new possibilities for monitoring and analyzing user’s experience in real time. In this paper, we describe the design and development of Psychlog, a mobile phone platform designed to collect users’ psychological, physiological, and activity information for mental health research. The tool allows administering self-report questionnaires at specific times or randomly within a day. The system also permits to collect heart rate and activity information from a wireless electrocardiogram equipped with a three-axial accelerometer. By combining self-reports with heart rate and activity data, the application makes it possible to investigate the relationship between psychological, physiological, and behavioral variables, as well as to monitor their fluctuations over time. The software runs on Windows mobile operative system and is available as open source
Lingua originaleEnglish
pagine (da-a)241-251
Numero di pagine11
RivistaPersonal and Ubiquitous Computing
Volume17
DOI
Stato di pubblicazionePubblicato - 2011

Keywords

  • ecological momentary assessment
  • psychophysiology

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