@article{687,
  keywords = {Persistent Interaction; Visual Analytics; Interaction Theory},
  author = {Ignacio Baltazar Pérez Messina and Davide Ceneda and Victor Schetinger and Silvia Miksch},
  title = {Persistent interaction: A conceptualization of user-generated artefacts in Visual Analytics},
  abstract = {<p>Visual Analytics (VA) is essential for supporting insight generation and knowledge discovery in complex data analysis tasks. However, traditional approaches often overlook the value of user-generated artefacts — such as annotations, parameterizations, selections, spatializations, and other constructs — encapsulating subjective judgments about data and highly contextualized insights. To address this gap, we propose persistent interaction as a paradigm for formalizing how users’ decisions are embedded within artefacts, ensuring their transferability across analytical contexts. In this paper, we introduce a classification of persistent user-generated artefacts, demonstrating their potential through two case studies. We contribute a framework for understanding persistent interaction, insights into artefact generalizability, knowledge transferability, and guidance enhancement, as well as theoretical implications for VA.</p>},
  year = {2025},
  journal = {Computers & Graphics},
  volume = {129},
  pages = {104232},
  month = {05/2025},
  publisher = {Elsevier},
  url = {https://www.sciencedirect.com/science/article/pii/S0097849325000731},
  doi = {10.1016/j.cag.2025.104232},
}