EmotionSense: a mobile phones based adaptive platform for experimental social psychology research

Kiran K. Rachuri, Mirco Musolesi, Cecilia Mascolo, Peter J. Rentfrow, Chris Longworth, Andrius Aucinas

Research output: Chapter in Book/Report/Conference proceedingChapter

304 Citations (Scopus)

Abstract

Today's mobile phones represent a rich and powerful computing platform, given their sensing, processing and communication capabilities. Phones are also part of the everyday life of billions of people, and therefore represent an exceptionally suitable tool for conducting social and psychological experiments in an unobtrusive way.

de the ability of sensing individual emotions as well as activities, verbal and proximity interactions among members of social groups. Moreover, the system is programmable by means of a declarative language that can be used to express adaptive rules to improve power saving. We evaluate a system prototype on Nokia Symbian phones by means of several small-scale experiments aimed at testing performance in terms of accuracy and power consumption. Finally, we present the results of real deployment where we study participants emotions and interactions. We cross-validate our measurements with the results obtained through questionnaires filled by the users, and the results presented in social psychological studies using traditional methods. In particular, we show how speakers and participants' emotions can be automatically detected by means of classifiers running locally on off-the-shelf mobile phones, and how speaking and interactions can be correlated with activity and location measures.
Original languageEnglish
Title of host publicationProceedings of the 12th ACM International Conference on Ubiquitous Computing (UbiComp '10)
PublisherACM
Pages281-290
ISBN (Print)978-1-60558-843-8
DOIs
Publication statusPublished - 2010

Keywords

  • emotion recognition, energy efficiency, mobile phones, social psychology, speaker recognition

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