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Change of Heart: Emotion Tracking to Promote Behavior Change

Published: 18 April 2015 Publication History

Abstract

Preventable behaviors contribute to many life threatening health problems. Behavior-change technologies have been deployed to modify these, but such systems typically draw on traditional behavioral theories that overlook affect. We examine the importance of emotion tracking for behavior change. First, we conducted interviews to explore how emotions influence unwanted behaviors. Next, we deployed a system intervention, in which 35 participants logged information for a self-selected, unwanted behavior (e.g., smoking or overeating) over 21 days. 16 participants engaged in standard behavior tracking using a Fact-Focused system to record objective information about goals. 19 participants used an Emotion-Focused system to record emotional consequences of behaviors. Emotion-Focused logging promoted more successful behavior change and analysis of logfiles revealed mechanisms for success: greater engagement of negative affect for unsuccessful days and increased insight were key to motivating change. We present design implications to improve behavior-change technologies with emotion tracking.

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Cited By

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  • (2024)EEG-based Cross Subject Emotion Recognition based on collaborative learning and dynamic distribution adaptation2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM62325.2024.10822614(1960-1965)Online publication date: 3-Dec-2024
  • (2024)EmoVis: exploring data-enabled analogue journaling to promote self-reflection for mental wellness among college studentsBehaviour & Information Technology10.1080/0144929X.2024.2349182(1-23)Online publication date: 10-May-2024
  • (2024)The PBC model: promoting positive behaviours through change-based interventionsCognition, Technology & Work10.1007/s10111-024-00776-426:4(673-708)Online publication date: 16-Jul-2024
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      cover image ACM Conferences
      CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
      April 2015
      4290 pages
      ISBN:9781450331456
      DOI:10.1145/2702123
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Publication History

      Published: 18 April 2015

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      Author Tags

      1. behavior change
      2. emotions
      3. everyday life
      4. field experiment
      5. lifestyle
      6. user studies

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      CHI '15
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      CHI '15: CHI Conference on Human Factors in Computing Systems
      April 18 - 23, 2015
      Seoul, Republic of Korea

      Acceptance Rates

      CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
      Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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      CHI 2025
      ACM CHI Conference on Human Factors in Computing Systems
      April 26 - May 1, 2025
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      Cited By

      View all
      • (2024)EEG-based Cross Subject Emotion Recognition based on collaborative learning and dynamic distribution adaptation2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM62325.2024.10822614(1960-1965)Online publication date: 3-Dec-2024
      • (2024)EmoVis: exploring data-enabled analogue journaling to promote self-reflection for mental wellness among college studentsBehaviour & Information Technology10.1080/0144929X.2024.2349182(1-23)Online publication date: 10-May-2024
      • (2024)The PBC model: promoting positive behaviours through change-based interventionsCognition, Technology & Work10.1007/s10111-024-00776-426:4(673-708)Online publication date: 16-Jul-2024
      • (2023)The Effects of Multiple Exposure to Highly Emotional Social Media Content During the Early Stages of the 2022 War in UkraineSN Computer Science10.1007/s42979-023-02080-w4:5Online publication date: 30-Aug-2023
      • (2023)A Longitudinal Analysis of Real-World Self-report DataHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42286-7_34(611-632)Online publication date: 28-Aug-2023
      • (2022)Designing Tangibles to Support Emotion Logging for Older Adults: Development and Usability StudyJMIR Human Factors10.2196/346069:2(e34606)Online publication date: 27-Apr-2022
      • (2022)Sad or just jealous? Using Experience Sampling to Understand and Detect Negative Affective Experiences on InstagramProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517561(1-18)Online publication date: 29-Apr-2022
      • (2022)Understanding Emotion Changes in Mobile Experience SamplingProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501944(1-14)Online publication date: 29-Apr-2022
      • (2022)Relationship dynamics of review skepticism using latent growth curve modeling in the hospitality industryCurrent Issues in Tourism10.1080/13683500.2022.203959726:3(496-510)Online publication date: 10-Feb-2022
      • (2022)Yoga and Meditation for Self-Empowered Behavior and Quality of LifeQuantifying Quality of Life10.1007/978-3-030-94212-0_12(291-317)Online publication date: 14-Apr-2022
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