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Peerspective: A Study on Reciprocal Tracking for Self-awareness and Relational Insight

  • Kwangyoung Lee
  • , Yeohyun Jung
  • , Gyuwon Jung
  • , Xi Lu
  • , Hwajung Hong
  • Korea Advanced Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Personal informatics helps individuals understand themselves, but it often struggles to capture non-conscious behaviors such as stress responses, habitual actions, and communication styles. Incorporating social aspects into PI systems offers new perspectives on self-understanding, yet prior research has largely focused on unidirectional approaches that center benefits on the primary tracker. To address this gap, we introduce the Peerspective study, which explores reciprocal tracking - a bidirectional practice where two participants observe and provide feedback to each other, fostering mutual self-understanding and collaboration. In a week-long study with eight peer dyads, we explored how reciprocal observation and feedback influence self-awareness and interpersonal relationships. Our findings reveal that reciprocal tracking not only helps participants uncover blind spots and expand their self-concepts but also enhances empathy, deepens communication, and promotes sustained engagement. We discuss key facilitators and challenges of integrating reciprocity into personal informatics systems and offer design considerations for supporting collaborative tracking in everyday contexts.

Original languageEnglish
Title of host publicationCHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400713941
DOIs
StatePublished - Apr 26 2025
Event2025 CHI Conference on Human Factors in Computing Systems, CHI 2025 - Yokohama, Japan
Duration: Apr 26 2025May 1 2025

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2025 CHI Conference on Human Factors in Computing Systems, CHI 2025
Country/TerritoryJapan
CityYokohama
Period04/26/2505/1/25

Keywords

  • Blind Spots
  • Peerspective
  • Personal Informatics
  • Reciprocal Tracking
  • Self-Understanding
  • Social Features in Tracking

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