A mobile data collection platform for mental health research

Authors:
Andrea Gaggioli;Giovanni Pioggia;Gennaro Tartarisco;Giovanni Baldus;Daniele Corda;Pietro Cipresso;Giuseppe Riva
Affiliations:
ATN-P Lab, Istituto Auxologico Italiano, Milan, Italy and Department of Psychology, Catholic University of Milan, Milan, Italy;National Research Council of Italy (CNR), Institute of Clinical Physiology, (IFC), Pisa, Italy;National Research Council of Italy (CNR), Institute of Clinical Physiology, (IFC), Pisa, Italy;National Research Council of Italy (CNR), Institute of Clinical Physiology, (IFC), Pisa, Italy;National Research Council of Italy (CNR), Institute of Clinical Physiology, (IFC), Pisa, Italy;ATN-P Lab, Istituto Auxologico Italiano, Milan, Italy;ATN-P Lab, Istituto Auxologico Italiano, Milan, Italy and Department of Psychology, Catholic University of Milan, Milan, Italy
Venue:
Personal and Ubiquitous Computing
Year:
2013

Citing 7
Cited 8

An introduction to computerized experience sampling in psychology

Social Science Computer Review
A context-aware experience sampling tool

CHI '03 Extended Abstracts on Human Factors in Computing Systems
MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones

Proceedings of the 5th international conference on Mobile systems, applications and services
Sensor-Based Abnormal Human-Activity Detection

IEEE Transactions on Knowledge and Data Engineering
A survey on wearable sensor-based systems for health monitoring and prognosis

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
AndWellness: an open mobile system for activity and experience sampling

WH '10 Wireless Health 2010
Activity recognition on an accelerometer embedded mobile phone with varying positions and orientations

UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing

Mood recognition in bipolar patients through the PSYCHE platform: Preliminary evaluations and perspectives

Artificial Intelligence in Medicine
Detecting cocaine use with wearable electrocardiogram sensors

Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Opening Up the Smart Home: A Classification of Smart Living Service Platforms

International Journal of E-Services and Mobile Applications
"Moon Phrases": a social media faciliated tool for emotional reflection and wellness

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

Quantified Score

Hi-index	0.00

Visualization

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 ( http://sourceforge.net/projects/psychlog/ ).