---
cssclass: research-note
type: "conferencePaper"
author: "Rhys Cox, Samuel; Bøjer Djernæs, Helena; van Berkel, Niels"
title: "Beyond Productivity: Rethinking the Impact of Creativity Support Tools"
date: 2025-06-22
citekey: rhys_cox_beyond_2025
tags:
- research
- conferencePaper
---

> [!Cite]
> Rhys Cox, Samuel, Helena Bøjer DjernæsとNiels van Berkel. 2025年. 「Beyond Productivity: Rethinking the Impact of Creativity Support Tools」. _Proceedings of the 2025 Conference on Creativity and Cognition_ (New York, NY, USA), C&amp;C ’25, 6月, 735–49. [https://doi.org/10.1145/3698061.3726924](https://doi.org/10.1145/3698061.3726924).

>[!Synth]
>**Contribution**:: 
>
>**Related**:: 
>

[online](http://zotero.org/users/12014264/items/Q9UKA3HR) [local](zotero://select/library/items/Q9UKA3HR) [pdf](file:///Users/tomoya/Zotero/storage/W3RC8KPE/Rhys%20Cox%20et%20al.%20-%202025%20-%20Beyond%20Productivity%20Rethinking%20the%20Impact%20of%20Crea.pdf)
 

 
>[!md]
> **FirstAuthor**::  [[Samuel Rhys Cox]]
> **Author**:: [[Helena Bøjer Djernæs]]
> **Author**:: [[Niels van Berkel]]
~    
> **Title**:: Beyond Productivity: Rethinking the Impact of Creativity Support Tools  
> **Year**:: 2025   
> **Citekey**:: rhys_cox_beyond_2025  
> **itemType**:: conferencePaper  
> **Publisher**:: Association for Computing Machinery  
> **Location**:: New York, NY, USA   
> **Pages**:: 735–749  
> **DOI**:: 10.1145/3698061.3726924  
> **ISBN**:: 9798400712890    

> [!LINK] 
>
>  [Full Text PDF](file:///Users/tomoya/Zotero/storage/W3RC8KPE/Rhys%20Cox%20et%20al.%20-%202025%20-%20Beyond%20Productivity%20Rethinking%20the%20Impact%20of%20Crea.pdf).

> [!Abstract]
>
> [[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.
>.
> 
# Notes

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