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

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arxiv 2404.19738 v1 pith:TCJDIJD4 submitted 2024-04-30 cs.HC

classification cs.HC
keywords diaryhelpercontextualinformationparticipantsdiaryelicitationrecordingagent
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. AnnoSense: A Framework for Physiological Emotion Data Collection in Everyday Settings for AI

    cs.HC 2025-07 conditional novelty 6.0 of 10

    The authors propose AnnoSense, a set of 15 expert-reviewed guidelines for everyday emotion data collection, derived from survey, interview, and focus group insights from 119 stakeholders.

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