Emotional response and visual attention to non-photorealistic images
Journal Article
Abstract
Non-photorealistic rendering (NPR) algorithms are used to produce stylized images, and have generally been evaluated on the aesthetic qualities of the resulting images. NPR-produced images have been used for aesthetic and practical reasons in media intended to produce an emotional reaction in a consumer (e.g., computer games, films, advertisements, and websites); however, it is not understood how non-photorealistic rendering affects the emotion portrayed in an image. We conducted a study of subjective emotional response and visual attention to five common NPR approaches, two blurring techniques, and the original image with 42 participants, and found that the NPR algorithms dampened participants' emotional responses in terms of arousal (activation) and valence (pleasure). Gaze data revealed that NPR rendering of images might reduce emotional response to an image by producing confusion, creating distracting visual artifacts, causing the loss of meaningful semantic information, or causing
users to lose interest in the resulting image.
BibTeX
@article{Mould:2012:SSC:2350361.2350451,
author = {Mould, David and Mandryk, Regan L. and Li, Hua},
title = {Emotional Response and Visual Attention to Non-photorealistic Images},
journal = {Comput. Graph.},
issue_date = {October, 2012},
volume = {36},
number = {6},
month = oct,
year = {2012},
issn = {0097-8493},
pages = {658--672},
numpages = {15},
url = {http://dx.doi.org/10.1016/j.cag.2012.03.039},
doi = {10.1016/j.cag.2012.03.039},
acmid = {2350451},
publisher = {Pergamon Press, Inc.},
address = {Elmsford, NY, USA},
keywords = {Affect, Arousal, Emotion, Eye tracking, Gaze, Non-photorealistic rendering, Valence},
}