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Mobile-Based Experience Sampling for Behaviour Research

Pejovic, V; Lathia, N; Mascolo, C; Musolesi, M; (2016) Mobile-Based Experience Sampling for Behaviour Research. In: Tkalčič, M and Carolis, BD and Gemmis, MD and Odić, A and Košir, A, (eds.) Emotions and Personality in Personalized Services: Models, Evaluation and Applications. (pp. 141-161). Springer: Cham, Switzerland. Green open access

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Abstract

The Experience Sampling Method (ESM) introduces in-situ sampling of human behaviour, and provides researchers and behavioural therapists with ecologically valid and timely assessments of a person’s psychological state. This, in turn, opens up new opportunities for understanding behaviour at a scale and granularity that was not possible just a few years ago. The practical applications are many, such as the delivery of personalised and agile behaviour interventions. Mobile computing devices represent a revolutionary platform for improving ESM. They are an inseparable part of our daily lives, context-aware, and can interact with people at suitable moments. Furthermore, these devices are equipped with sensors, and can thus take part of the reporting burden off the participant, and collect data automatically. The goal of this survey is to discuss recent advancements in using mobile technologies for ESM (mESM), and present our vision of the future of mobile experience sampling.

Type: Book chapter
Title: Mobile-Based Experience Sampling for Behaviour Research
ISBN-13: 978-3-319-31411-2
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-31413-6_8
Publisher version: https://doi.org/10.1007/978-3-319-31413-6_8
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Mobile Device, Mobile Application, Online Social Network, Mobile Sensor, Behaviour Change Intervention
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1552836
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