자기 주도적 성찰을 위한 자기 추적 데이터 유형과 성찰 유형의 관계 탐색

초록

Background As interest in self-tracking in everyday life grows, research critically examining self-quantification has also been active. While various studies argue that self-tracking technology should play a role in users' self-reflection, there is a dearth of research specifically examining how the self-tracking data actually impacts reflection. Therefore, this study aimed to elucidate the relationship between self-tracking data and self-reflection. Methods To foster reflective awareness in self-tracking, we designed and implemented a workshop that brought active self-tracking experiences based on the attributes of experience discussed in Dewey's experiential theory. Participants selected behavioral data items to collect, and then refined these items to develop self-awareness of their own behavior. Discussions were derived from the participants' workshop outcomes, the researcher’s feedback during the workshop, and participant interviews. Result The workshop analysis results classified behavioral data that influence self-awareness into Types A, B, and C, while reflection was categorized as an indicator of five types of "assumption changes." Among these, The high rate of type C data collection in the assumption withdraw & new types of assumption changes category suggests that when participants collected multiple layers of data types to enhance their understanding of their behaviors, they tended to reflect on unexpected causes and discoveries. Conclusion To design a self-tracker that encourages users' subjective reflection, it is necessary to reflect a function that strengthens the collection of Type C data, which allows users to discover things about their own behavior that they were not aware of before.

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