MoodScope: Building a mood sensor from smartphone usage patterns

Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

100 Citations (Scopus)

Abstract

We present MoodScope, a software system which infers the mood of its user based on how the smartphone is used. Similar to smart-phone sensors that measure acceleration, light, and other physical properties, MoodScope is a "sensor" that measures the mental state of the user and provides mood as an important input to context-aware computing. We run a formative statistical study with smartphone-logged data collected from 32 participants over two months. Through the study, we find that by analyzing communication history and application usage patterns, we can statistically infer a user's daily mood average with an accuracy of 93% after a two-month training period. Motivated by these results, we build a service, MoodScope, which analyzes usage history to act as a sensor of the user's mood.

Original languageEnglish (US)
Title of host publicationMobiSys 2013 - Proceedings of the 11th Annual International Conference on Mobile Systems, Applications, and Services
Pages465-466
Number of pages2
DOIs
StatePublished - 2013
Externally publishedYes
Event11th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2013 - Taipei, Taiwan, Province of China
Duration: Jun 25 2013Jun 28 2013

Other

Other11th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2013
CountryTaiwan, Province of China
CityTaipei
Period6/25/136/28/13

Fingerprint

Smartphones
Sensors
Physical properties
Communication

Keywords

  • Affective computing
  • Machine learning
  • Mood
  • Smartphone usage

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

LiKamWa, R., Liu, Y., Lane, N. D., & Zhong, L. (2013). MoodScope: Building a mood sensor from smartphone usage patterns. In MobiSys 2013 - Proceedings of the 11th Annual International Conference on Mobile Systems, Applications, and Services (pp. 465-466) https://doi.org/10.1145/2462456.2483967

MoodScope : Building a mood sensor from smartphone usage patterns. / LiKamWa, Robert; Liu, Yunxin; Lane, Nicholas D.; Zhong, Lin.

MobiSys 2013 - Proceedings of the 11th Annual International Conference on Mobile Systems, Applications, and Services. 2013. p. 465-466.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

LiKamWa, R, Liu, Y, Lane, ND & Zhong, L 2013, MoodScope: Building a mood sensor from smartphone usage patterns. in MobiSys 2013 - Proceedings of the 11th Annual International Conference on Mobile Systems, Applications, and Services. pp. 465-466, 11th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2013, Taipei, Taiwan, Province of China, 6/25/13. https://doi.org/10.1145/2462456.2483967
LiKamWa R, Liu Y, Lane ND, Zhong L. MoodScope: Building a mood sensor from smartphone usage patterns. In MobiSys 2013 - Proceedings of the 11th Annual International Conference on Mobile Systems, Applications, and Services. 2013. p. 465-466 https://doi.org/10.1145/2462456.2483967
LiKamWa, Robert ; Liu, Yunxin ; Lane, Nicholas D. ; Zhong, Lin. / MoodScope : Building a mood sensor from smartphone usage patterns. MobiSys 2013 - Proceedings of the 11th Annual International Conference on Mobile Systems, Applications, and Services. 2013. pp. 465-466
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