A Review on Mood Assessment Using Smartphones

Zhanna Sarsenbayeva*, Charlie Fleming, Benjamin Tag, Anusha Withana, Niels van Berkel, Alistair McEwan

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citationer (Scopus)

Abstract

Due to their abundance of sensors, today’s smartphones can act as a scientific tool to collect contextual information on users’ emotional, social, and physical behaviour. With the continuously growing amount of data that can be unobtrusively extracted from smartphones, mood-tracking and inference methods have become more feasible. However, this does raise critical implications for end-users, including accessibility and privacy. Following a structured selection process, we reviewed 32 papers from the ACM Digital Library on mood inference and tracking using smartphones. We conducted an in-depth analysis of used sensors, platform and accessibility, study designs, privacy, self-reporting methods, and accuracy. Based on our analysis, we provide a detailed discussion of the opportunities for research and practice that arise from our findings and outline recommendations for future research within the area of smartphone-based mood tracking and inference.

OriginalsprogEngelsk
TitelHuman-Computer Interaction – INTERACT 2023 : 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part II
RedaktørerJosé Abdelnour Nocera, Marta Kristín Lárusdóttir, Helen Petrie, Antonio Piccinno, Marco Winckler
Antal sider29
ForlagSpringer
Publikationsdato2023
Sider385-413
ISBN (Trykt)978-3-031-42282-9
ISBN (Elektronisk)978-3-031-42283-6
DOI
StatusUdgivet - 2023
Begivenhed19th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2023 - York, Storbritannien
Varighed: 28 aug. 20231 sep. 2023

Konference

Konference19th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2023
Land/OmrådeStorbritannien
ByYork
Periode28/08/202301/09/2023
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind14143 LNCS
ISSN0302-9743

Bibliografisk note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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