Crowdsourced Feedback With Imagery Rather Than Text: Would Designers Use It?
- Submitting institution
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Heriot-Watt University
- Unit of assessment
- 32 - Art and Design: History, Practice and Theory
- Output identifier
- 10633321
- Type
- C - Chapter in book
- DOI
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10.1145/2702123.2702470
- Book title
- Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
- Publisher
- Association for Computing Machinery
- ISBN
- 9781450331456
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2015
- URL
-
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This refereed paper was presented at the ACM Conference on Human Factors in Computing Systems. This conference series is regarded as one of the leading forums in the field of human-computer interaction at which leading-edge research is reported (https://dl.acm.org/proceedings).
This paper has been well-cited and constitutes the most high-profile publication on the collaborative HeadCrowd research project that investigated how rich web applications may be gathered and processed in order to provide near instantaneous visual feedback to designers from thousands of potential customers, or crowds (Kalkreuter Design PI, £95K).
In response to cognitive styles theories on visual and verbal thinkers, the project developed a novel method of giving and interpreting feedback designed to encourage visual communication between designers and their audiences. Its innovation lies in enabling fast, intuitive selections from image banks from ‘crowds’ responding to an idea by reducing massed image choices to a small number of representative images through visual summarization. Kalkreuter’s contribution centred on image selection suitable for design feedback, and on the establishment and analysis of a research study with interior design students to ascertain how visual summaries are consumed by designers receiving the feedback, leading to thoughtful reflection on their designs. The paper reports an evaluation using two types of imagery for feedback and analyses semi-structured interviews in which designers described their interpretation of the feedback, how it inspired them to change their designs and contrasted the visual feedback with textual feedback. The research was presented and published widely in design and CS contexts (Nordic Textile Journal 2012; Futurescan 2 2013; Global Fashion Conference 2014 Ghent; ACM CSCW (Computer Supported Cooperative Work) 2015 Vancouver; ACM DIS (Designing Interactive Systems) 2016 Brisbane; ACM DIS 2017 Edinburgh).
- Author contribution statement
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- Non-English
- No
- English abstract
- -
