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Out of the lab and into the fray: towards modeling emotion in everyday life

Published: 17 May 2010 Publication History

Abstract

We conducted a 19 participant study using a system comprised of wireless galvanic skin response (GSR), heart rate (HR), activity sensors and a mobile phone for aggregating sensor data and enabling affect logging by the user. Each participant wore the sensors daily for five days, generating approximately 900 hours of continuous data. We found that analysis of emotional events was highly dependent on correct windowing and report results on synthesized windows around annotated events. Where raters agreed on the timing and quality of the emotion we were able to recognize 85% of the high and low energy emotions and 70% of the positive and negative emotions. We also gained many insights regarding participant's perception of their emotional state and the complexity of emotion in real life.

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  • (2022)Towards Ubiquitous Personalized Music Recommendation with Smart BraceletsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503336:3(1-34)Online publication date: 7-Sep-2022
  • (2022)Affective State Prediction from Smartphone Touch and Sensor Data in the WildProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501835(1-14)Online publication date: 29-Apr-2022
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Information

Published In

cover image Guide Proceedings
Pervasive'10: Proceedings of the 8th international conference on Pervasive Computing
May 2010
446 pages
ISBN:3642126537
  • Editors:
  • Patrik Floréen,
  • Antonio Krüger,
  • Mirjana Spasojevic

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 17 May 2010

Author Tags

  1. affective computing
  2. emotional sensing
  3. mood detection

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  • (2024)Detecting Users' Emotional States during Passive Social Media UseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596068:2(1-30)Online publication date: 15-May-2024
  • (2022)Towards Ubiquitous Personalized Music Recommendation with Smart BraceletsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503336:3(1-34)Online publication date: 7-Sep-2022
  • (2022)Affective State Prediction from Smartphone Touch and Sensor Data in the WildProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501835(1-14)Online publication date: 29-Apr-2022
  • (2022)Applied Affective ComputingundefinedOnline publication date: 25-Jan-2022
  • (2021)Emotion-sensitive voice-casting care robot in rehabilitation using real-time sensing and analysis of biometric informationJournal of Ambient Intelligence and Smart Environments10.3233/AIS-21061413:6(413-431)Online publication date: 1-Jan-2021
  • (2019)Multi-target affect detection in the wildProceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341163.3347741(211-219)Online publication date: 9-Sep-2019
  • (2019)Appraisal theory-based mobile app for physiological data collection and labelling in the wildAdjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341162.3345595(752-756)Online publication date: 9-Sep-2019
  • (2018)Labelling Affective States "in the Wild"Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3267551(654-659)Online publication date: 8-Oct-2018
  • (2018)Eliciting Driver Stress Using Naturalistic Driving Scenarios on Real RoadsProceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3239060.3239090(298-309)Online publication date: 23-Sep-2018
  • (2016)A review of the role of sensors in mobile context-aware recommendation systemsInternational Journal of Distributed Sensor Networks10.1155/2015/4892642015(226-226)Online publication date: 1-Jan-2016
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