🤖 AI Summary
This study addresses the limitations of epistemological tensions and linear knowledge production assumptions in visual collaborative design by introducing entanglement theory to reconstruct the cognitive framework. Integrating longitudinal community-based participatory design with critical discourse analysis, the research transforms these tensions into opportunities for generative reflection. The findings reveal the implicit dark side of traditional design processes and challenge established linear epistemologies. Furthermore, this work validates the practical utility of an entanglement perspective in fostering methodological reflexivity. Ultimately, the study deepens both theoretical understanding and practical guidance regarding the complexities inherent in collaborative design, offering a nuanced alternative to conventional paradigms.
📝 Abstract
In this work, we present how employing the lens of entanglement helped us examine and reframe epistemic tensions arising in a visualization co-design project. Entanglement theory challenges traditional assumptions in the visualization research community by emphasizing that knowledge is not produced through linear, isolated processes, but is inherently entangled with phenomena and apparatuses. While this perspective offers a compelling critique of conventional research practices, its practical value for visualization research remains underexplored. We apply the entanglement lens to examine and reframe the epistemic tensions that emerged in a longitudinal community-based visualization co-design project. Our experience shows that the entanglement perspective not only provides a richer understanding of these tensions, but also helps transform them into generative opportunities for methodological and theoretical reflection. Applying this lens enabled us to critically interrogate the language used in research, to develop a more nuanced understanding of visualization co-design, and to surface ``dark sides'' of conventional visualization design pipelines. These contributions illustrate the practical value of embracing entanglement as an epistemological lens for visualization research.