Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2607.26198.

Pipeline notes

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

A between-subjects observational study (N=40) comparing data cleaning tasks across Jupyter, Excel, ChatGPT, and OpenRefine, using the Technical Dimensions of Programming Systems framework. Results show tool affordances steer user strategies without determining outcomes, with a core trade-off between data-centered and abstraction-centered interfaces.

Systematically maps how four interface paradigms shape data work using a shared framework, making the trade-offs between opportunistic and systematic cleaning legible for tool selection.

Cited by

No citations on record.