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Epistemic Agency in Self-Tracking: AI for Qualitative Research
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. Qualitative researchers and UX teams wrestling with self-tracking data face a specific problem: how to tell whether a study treats the person as a passive data source or as the author of their own inquiry. The primary keyword for this post is "epistemic agency in self-tracking" and this article explains practical, extractable methods from a conceptual literature review that classified 721 records into a 241-paper corpus and then analyzed 46 self-tracking studies, according to the Frontiersin.org review by Sara Riggare published 18 August 2026. The payoff: concrete coding prompts and AI workflows you can apply to transcripts, logs, and device exports to measure agency across Questioning, Observing, Reasoning, and Discovering.
In this article
- Key Takeaways
- What Happened: How the review measured epistemic agency
- Findings Snapshot
- Implications for qualitative researchers studying self-tracking
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