Sep 2026· Proceedings of the ACM on Human-Computer Interaction· Vol 10, pp. 1 - 55· 0 citations· 95 references
TL;DR
Findings from an exploratory, multi-session study with creative professionals, examining their use of AI-CSTs across workflow stages are presented, reflecting on how AI influences collaborative creative practices, particularly in relation to accessibility, expertise, and creative agency.
Abstract
Creativity Support Tools (CSTs) have long been a subject of interest within Human-Computer Interaction (HCI) research. The advent of Artificial Intelligence (AI), particularly generative AI, introduced new levels of adaptability and automation to CSTs. Despite increased adoption, gaps persist in understanding how practitioners appropriate AI‑powered CSTs across creative workflows. This paper presents findings from an exploratory, multi-session study with creative professionals, examining their use of AI-CSTs across workflow stages. We identify key successes, challenges, and aspirations for tool development, reflecting on how AI influences collaborative creative practices, particularly in relation to accessibility, expertise, and creative agency.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
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