Reducing Affective Responses to Surgical Images and Videos Through Stylization

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dc.contributor.authorBesançon, Lonnien_US
dc.contributor.authorSemmo, Amiren_US
dc.contributor.authorBiau, Daviden_US
dc.contributor.authorFrachet, Brunoen_US
dc.contributor.authorPineau, Virginieen_US
dc.contributor.authorSariali, El Hadien_US
dc.contributor.authorSoubeyrand, Marcen_US
dc.contributor.authorTaouachi, Rabahen_US
dc.contributor.authorIsenberg, Tobiasen_US
dc.contributor.authorDragicevic, Pierreen_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2020-05-22T12:24:45Z
dc.date.available2020-05-22T12:24:45Z
dc.date.issued2020
dc.description.abstractWe 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 .en_US
dc.description.number1
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.13886
dc.identifier.issn1467-8659
dc.identifier.pages462-483
dc.identifier.urihttps://doi.org/10.1111/cgf.13886
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13886
dc.publisher© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subjectimage processing
dc.subjectimage and video processing
dc.subjectnon‐photorealistic rendering
dc.subjectrendering
dc.subjectuser studies
dc.subjectinteraction
dc.subjectComputing methodologies → NPR; Image processing; • Human‐centred computing → Empirical studies in HCI
dc.titleReducing Affective Responses to Surgical Images and Videos Through Stylizationen_US
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