DiaryHelper: Exploring the Use of an Automatic Contextual Information Recording Agent for Elicitation Diary Study

要旨

Elicitation diary studies, a type of qualitative, longitudinal research method, involve participants to self-report aspects of events of interest at their occurrences as memory cues for providing details and insights during post-study interviews. However, due to time constraints and lack of motivation, participants’ diary entries may be vague or incomplete, impairing their later recall. To address this challenge, we designed an automatic contextual information recording agent, DiaryHelper, based on the theory of episodic memory. DiaryHelper can predict five dimensions of contextual information and confirm with participants. We evaluated the use of DiaryHelper in both the recording period and the elicitation interview through a within-subject study (N=12) over a period of two weeks. Our results demonstrated that DiaryHelper can assist participants in capturing abundant and accurate contextual information without significant burden, leading to a more detailed recall of recorded events and providing greater insights.

著者
Junze Li
The Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Changyang He
Hong Kong University of Science and Technology, Hong Kong, China
Jiaxiong Hu
The Hong Kong University of Science and Technology, Hong Kong SAR, China
Boyang Jia
Tsinghua University, Beijing, China
Alon Y. Halevy
Meta AI, Menlo Park, California, United States
Xiaojuan Ma
Hong Kong University of Science and Technology, Hong Kong, Hong Kong
論文URL

https://doi.org/10.1145/3613904.3642853

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Research Methods and Tools A

323C
5 件の発表
2024-05-14 23:00:00
2024-05-15 00:20:00