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The Relationships Between Behavioral Patterns and Emotions in Daily Life

  • Hyunwoo Lee
  • Ayoung Cho
  • Youseop Jo
  • Mincheol Whang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 474)

Abstract

Emotions have been recognized from physiological and behavioral responses, however, in daily life these methods are less practical due to the measurement burden. This study was to minimize the measurement burden by using smartphones and to determine the behavioral patterns relevant to daily emotions through the global positioning system (GPS) locations. Seven participants (5 males) were asked to carry their smartphones and evaluate subjective emotions for six weeks. The participants’ GPS locations were measured with their smartphones and then analyzed to determine their behavioral patterns. The emotions were categorized into valence and arousal dimensions, and the behavioral patterns were tested by the Kruskal-Wallis method. As a result, the valence dimension implied significant behavioral patterns such as location variance (p = .006), number of cluster (p = .015), and entropy (p = .044). The arousal dimension implied significant behavioral patterns such as location variance (p = .003), circadian movement (p = .008), and transition time (p = .016). These behavioral patterns are expected to be useful in recognizing emotions in daily life.

Keywords

Behavioral patterns Emotion Global positioning system (GPS) Smartphone 

Notes

Acknowledgments

This work was supported by the Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2015-0-00312, The development of technology for social life logging based on analyzing social emotion and intelligence of convergence contents).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Hyunwoo Lee
    • 1
  • Ayoung Cho
    • 1
  • Youseop Jo
    • 1
  • Mincheol Whang
    • 2
  1. 1.Department of Emotion EngineeringSangmyung UniversitySeoulRepublic of Korea
  2. 2.Department of Intelligence Information EngineeringSangmyung UniversitySeoulRepublic of Korea

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