Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2609.03678.

Pipeline notes

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

Proposes the EluDA framework for exploratory analysis of unstructured image data, combining querying, visualization, and active knowledge construction. A formative user study found users build faceted classifications bottom-up. Evaluation showed CLIP is unreliable for user-defined concept assignment but supports semantic grouping, leading to four identified human-AI collaboration opportunities.

Empirical formative study of how people actually structure image exploration with CLIP, worth reading if designing or evaluating AI-assisted data analysis tools. Concrete findings rather than generic vision.

Cited by

No citations on record.