Text and visual annotation tools for scalable design feedback

Mangutov, Kirill

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https://hdl.handle.net/2142/92998 Copy

Description

Title

Text and visual annotation tools for scalable design feedback

Author(s)

Mangutov, Kirill

Issue Date

2016-06-13

Director of Research (if dissertation) or Advisor (if thesis)

Bailey, Brian P.

Department of Study

Computer Science

Discipline

Computer Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• Crowdsourcing
• Design
• Feedback
• Creativity

Abstract

Designers who wish to solicit feedback online have access to a variety of tools. Yet when selecting one tool over another for feedback collection, there is little empirical evidence to guide a designer's decision. We conducted an online study (N=360) where participants provided design feedback using two representative classes of feedback collection interfaces: spatial and nonspatial. For each interface, we also manipulated access to history feedback. Our results showed that the presence of history introduced a fixation effect where providers entered feedback that was more similar to the feedback they reviewed. Providers in the non-spatial condition entered feedback that was 24% longer than the spatial condition; whereas providers in the spatial condition left more investigation feedback. There was no difference in specificity between conditions. Results suggest that the more important choice designers must make is not the class of tool they use but whether history feedback is included.

Graduation Semester

2016-08

Type of Resource

text

Permalink

http://hdl.handle.net/2142/92998

Copyright and License Information

Copyright 2016 Kirill Mangutov

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