Decipher: An Interactive Visualization Tool for Interpreting Unstructured Design Feedback from Multiple Providers

Yu Chun Grace Yen, Joy O. Kim, Brian P. Bailey

研究成果: Conference contribution同行評審

20 引文 斯高帕斯(Scopus)

摘要

Feedback from diverse audiences can vary in focus, differ in structure, and contradict each other, making it hard to interpret and act on. While prior work has explored generating quality feedback, our work helps a designer interpret that feedback. Through a formative study with professional designers (N=10), we discovered that the interpretation process includes categorizing feedback, identifying valuable feedback, and prioritizing which feedback to incorporate in a revision. We also found that designers leverage feedback topic and sentiment, and the status of the provider to aid interpretation. Based on the findings, we created a new tool (Decipher) that enables designers to visualize and navigate a collection of feedback using its topic and sentiment structure. In a preliminary evaluation (N=20), we found that Decipher helped users feel less overwhelmed during feedback interpretation tasks and better attend to critical issues and conflicting opinions compared to using a typical document-editing tool.

原文English
主出版物標題CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
發行者Association for Computing Machinery
ISBN(電子)9781450367080
DOIs
出版狀態Published - 21 4月 2020
事件2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 - Honolulu, 美國
持續時間: 25 4月 202030 4月 2020

出版系列

名字Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020
國家/地區美國
城市Honolulu
期間25/04/2030/04/20

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