Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.28420.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

An arXiv paper examines AI-assisted sensemaking of qualitative UX data through a case study of 20 user responses on video conferencing platforms. It proposes a framework positioning AI as an amplifier of human interpretive judgment rather than a replacement, identifying when algorithmic efficiency helps versus hinders designer agency.

Provides a concrete framework and case study for integrating AI into qualitative research workflows without losing interpretive depth. Useful for UX practitioners and researchers designing AI-assisted analysis pipelines.

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