@inproceedings{1cf76a6060b1493f8cbf433e75ec3fff,
title = "Voyant: Generating structured feedback on visual designs using a crowd of non-experts",
abstract = "Feedback on designs is critical for helping users iterate toward effective solutions. This paper presents Voyant, a novel system giving users access to a non-expert crowd to receive perception-oriented feedback on their designs from a selected audience. Based on a formative study, the system generates the elements seen in a design, the order in which elements are noticed, impressions formed when the design is first viewed, and interpretation of the design relative to guidelines in the domain and the user's stated goals. An evaluation of the system was conducted with users and their designs. Users reported the feedback about impressions and interpretation of their goals was most helpful, though the other feedback types were also valued. Users found the coordinated views in Voyant useful for analyzing relations between the crowd's perception of a design and the visual elements within it. The cost of generating the feedback was considered a reasonable tradeoff for not having to organize critiques or interrupt peers.",
keywords = "Creativity, Critique, Crowdsourcing, Design, Feedback",
author = "Anbang Xu and Huang, {Shih Wen} and Bailey, {Brian P.}",
note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; 17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014 ; Conference date: 15-02-2014 Through 19-02-2014",
year = "2014",
doi = "10.1145/2531602.2531604",
language = "English (US)",
isbn = "9781450325400",
series = "Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW",
publisher = "Association for Computing Machinery",
pages = "1433--1444",
booktitle = "CSCW 2014 - Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing",
address = "United States",
}