Reducing Affective Responses to Surgical Images and Videos Through Stylization. (13th November 2019)

• Record Type: Journal Article
• Authors: Besançon, Lonni; Semmo, Amir; Biau, David; Frachet, Bruno; Pineau, Virginie; Sariali, El Hadi; Soubeyrand, Marc; Taouachi, Rabah; Isenberg, Tobias; Dragicevic, Pierre
• Is Part Of: Computer graphics forum. Volume 39:Number 1(2020)
• Page Start: 462
• Page End: 483
• Publication Date: 2019-11-13
• Subjects: image processing -- image and video processing -- non‐photorealistic rendering -- rendering -- user studies -- interaction -- Computing methodologies → NPR; Image processing; Human‐centred computing → Empirical studies in HCI; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.13886
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: We present the first empirical study on using colour manipulation and stylization to make surgery images/videos more palatable. While aversion to such material 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 to test them both on surgeons and lay people. While colour manipulation techniques and many artistic methods were found unusable by surgeons, edge‐preserving image smoothing yielded good results both for preserving information (as judged by surgeons) and reducing repulsiveness (as judged by lay people). We then conducted a second set of interview with surgeons to assess whether these methods could also be used on videos and derive good default parameters for information preservation. We provide extensive supplemental material at osf.io/4pfes/ . Abstract : We present the first empirical study on using colour manipulation and stylization to make surgery images/videos more palatable. While aversion to such material 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 to test them both on surgeons and lay people. While colour manipulation techniques and many artistic methods were found unusable by surgeons, edge‐preserving image smoothing yielded good results both for preserving information (as judged by surgeons) and reducing repulsiveness (as judged by lay people). We then conducted a second set of interview with surgeons to assess whether these methods could also be used on videos and derive good default parameters for information preservation.