Reducing Affective Responses to Surgical Images through Color Manipulation and Stylization

Lonni Besançon 1 Amir Semmo 2 David Biau 3 Bruno Frachet 4 Virginie Pineau 5 El Hadi Sariali 6 Rabah Taouachi 7 Tobias Isenberg 1 Pierre Dragicevic 1
1 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France
2 Hasso Plattner Institute [Potsdam, Germany]
3 Biostatistique et épidemiologie clinique
4 Service ORL [Avicenne]
5 Institut Curie
6 Service d'orthopédie
7 Institut Curie
Abstract : We present the first empirical study on using color manipulation and stylization to make surgery images more palatable. While aversion to such images is natural, it limits many people's ability to satisfy their curiosity, educate themselves, and make informed decisions. We selected a diverse set of image processing techniques, and tested them both on surgeons and lay people. While many artistic methods were found unusable by surgeons, edge-preserving image smoothing gave good results both in terms of preserving information (as judged by surgeons) and reducing repulsiveness (as judged by lay people). Color manipulation turned out to be not as effective.
Keywords : affect stylization surgery empirical study
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Conference papers
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Lonni Besançon, Amir Semmo, David Biau, Bruno Frachet, Virginie Pineau, et al.. Reducing Affective Responses to Surgical Images through Color Manipulation and Stylization. Proceedings of the Joint Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering, Aug 2018, Victoria, Canada. pp.4:1--4:13, ⟨10.1145/3229147.3229158⟩. ⟨hal-01795744v4⟩

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