Creativity Support Tools (CSTs) are widely used across diverse creative domains, with generative AI recently increasing the abilities of CSTs. To better understand how the success of CSTs is determined in the literature, we conducted a review of outcome measures used in CST evaluations. Drawing from (n=173) CST evaluations in the ACM Digital Library, we identified the metrics commonly employed to assess user interactions with CSTs. Our findings reveal prevailing trends in current evaluation practices, while exposing underexplored measures that could broaden the scope of future research. Based on these results, we argue for a more holistic approach to evaluating CSTs, encouraging the HCI community to consider not only user experience and the quality of the generated output, but also user-centric aspects such as self-reflection and well-being as critical dimensions of assessment. We also highlight a need for validated measures specifically suited to the evaluation of generative AI in CSTs.
@article{arxiv.2505.01601,
title = {Beyond Productivity: Rethinking the Impact of Creativity Support Tools},
author = {Samuel Rhys Cox and Helena Bøjer Djernæs and Niels van Berkel},
journal= {arXiv preprint arXiv:2505.01601},
year = {2026}
}
Comments
In ACM Creativity and Cognition (C&C '25), June 23-25, 2025; 15 pages; 2 Figures; 3 Tables