Reducing Affective Responses to Surgical Images through Color Manipulation and Stylization

Description:

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.

Paper download: (36.1 MB)

Demo/Software:

The code for the browser extension can be found on GitHub.

Study materials and data:

Our study materials and data can be found in the following OSF repositories: osf.io/4pfes and osf.io/34vzj.

Video:

Lonni's TEDx talk about the research:

Get the video:

watch the TEDX talk video on YouTube.

Pictures/visualizations:

Additional material:

References:

Lonni Besançon, Amir Semmo, David Biau, Bruno Frachet, Virginie Pineau, El Hadi Sariali, Marc Soubeyrand, Rabah Taouachi, Tobias Isenberg, and Pierre Dragicevic (2020) Reducing Affective Responses to Surgical Images and Videos through Stylization. Computer Graphics Forum, 39(1):462–483, February 2020.

BibTeX entry:



@ARTICLE{Besancon:2020:RAR,
  author      = {Lonni Besan{\c{c}}on and Amir Semmo and David Biau and Bruno Frachet and Virginie Pineau and El Hadi Sariali and Marc Soubeyrand and Rabah Taouachi and Tobias Isenberg and Pierre Dragicevic},
  title       = {Reducing Affective Responses to Surgical Images and Videos through Stylization},
  journal     = {Computer Graphics Forum},
  year        = {2020},
  volume      = {39},
  number      = {1},
  month       = feb,
  pages       = {462--483},
  doi         = {10.1111/cgf.13886},
  doi_url     = {https://doi.org/10.1111/cgf.13886},
  oa_hal_url  = {https://hal.science/hal-02381513},
  osf_url     = {https://osf.io/4pfes/},
  osf_url2    = {https://osf.io/34vzj/},
  github_url  = {https://github.com/lonnibesancon/Arkangel},
  url         = {https://tobias.isenberg.cc/p/Besancon2018RAR},
  pdf         = {https://tobias.isenberg.cc/personal/papers/Besancon_2020_RAR.pdf},
}

Lonni Besançon, Amir Semmo, David Biau, Bruno Frachet, Virginie Pineau, El Hadi Sariali, Rabah Taouachi, Tobias Isenberg, and Pierre Dragicevic (2018) Reducing Affective Responses to Surgical Images through Color Manipulation and Stylization. In Tunç Aydın and Daniel Sýkora, eds., Proceedings of the Joint Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering (Expressive, August 17–19, Victoria, BC, Canada). ACM, New York, article no. 4, 13 pages, 2018.

BibTeX entry:



@INPROCEEDINGS{Besancon:2018:RAR,
  author      = {Lonni Besan{\c{c}}on and Amir Semmo and David Biau and Bruno Frachet and Virginie Pineau and El Hadi Sariali and Rabah Taouachi and Tobias Isenberg and Pierre Dragicevic},
  title       = {Reducing Affective Responses to Surgical Images through Color Manipulation and Stylization},
  booktitle   = {Proceedings of the Joint Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering (Expressive,  August 17--19, Victoria, BC, Canada)},
  OPTeditor   = {Tun{\c{c}} Ayd\in and Daniel Sýkora},
  year        = {2018},
  pages       = {4:1--4:13},
  articleno   = {4},
  numpages    = {13},
  publisher   = {ACM},
  address     = {New York},
  doi         = {10.1145/3229147.3229158},
  doi_url     = {https://doi.org/10.1145/3229147.3229158},
  oa_hal_url  = {https://hal.science/hal-01795744v4},
  osf_url     = {https://osf.io/4pfes/},
  osf_url2    = {https://osf.io/34vzj/},
  github_url  = {https://github.com/lonnibesancon/Arkangel},
  url         = {https://tobias.isenberg.cc/p/Besancon2018RAR},
  pdf         = {https://tobias.isenberg.cc/personal/papers/Besancon_2018_RAR.pdf},
}

This work was done at the AVIZ project group of Inria, France, in collaboration with the Hasso Plattner Institute for Digital Engineering/University of Potsdam, Germany, and Institut Curie, France.