A review on mood assessment using smartphones

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

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (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.

Original languageEnglish
Title of host publicationHuman-Computer Interaction – INTERACT 2023 - 19th IFIP TC13 International Conference York, UK, August 28 – September 1, 2023 Proceedings, Part II
EditorsJosé Abdelnour Nocera, Marta Kristín Lárusdóttir, Helen Petrie, Antonio Piccinno, Marco Winckler
Place of PublicationCham Switzerland
PublisherSpringer
Pages385-413
Number of pages29
ISBN (Electronic)9783031422836
ISBN (Print)9783031422829
DOIs
Publication statusPublished - 2023
EventIFIP TC13 Conference on Human-Computer Interaction 2023 - York, United Kingdom
Duration: 28 Aug 20231 Sept 2023
Conference number: 19th
https://link.springer.com/book/10.1007/978-3-031-42283-6 (Proceedings)
https://interact2023.org (Website)

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume14143
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceIFIP TC13 Conference on Human-Computer Interaction 2023
Abbreviated titleINTERACT 2023
Country/TerritoryUnited Kingdom
CityYork
Period28/08/231/09/23
Internet address

Keywords

  • Mood inference
  • Mood tracking
  • Smartphones

Cite this