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Card Mapper: Enabling Data-Driven Reflections on Ideation Cards

Darzentas, Dimitrios; Velt, Raphael; Wetzel, Richard; Craigon, Peter J.; Wagner, Hanne G.; Urquhart, Lachlan D.; Benford, Steve

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Authors

Dimitrios Darzentas

Raphael Velt

Richard Wetzel

Hanne G. Wagner

Lachlan D. Urquhart

Profile image of STEVE BENFORD

STEVE BENFORD steve.benford@nottingham.ac.uk
Dunford Chair in Computer Science



Abstract

We explore how usage data captured from ideation cards can enable reflection on design. We deployed a deck of ideation cards on a Masters level module over two years, developing the means to capture the students’ designs into a digital repository. We created two visualisations to reveal the relative co-occurrences of the cards as concept space and the relative proximity of designs (through cards used in common) as design space. We used these to elicit reflections from the perspectives of students, teachers and card designers. Our findings inspire ideas for extending the data-driven use of ideation cards throughout the design process; informing the redesign of cards, the rules for using them and their live connection to supporting materials and enabling stakeholders to reflect and recognise challenges and opportunities. We also identified the need, and potential ways, to capture a richer design rationale, including annotations, discarded cards and varying card interpretations.

Citation

Darzentas, D., Velt, R., Wetzel, R., Craigon, P. J., Wagner, H. G., Urquhart, L. D., & Benford, S. (2019, May). Card Mapper: Enabling Data-Driven Reflections on Ideation Cards. Presented at 2019 CHI Conference on Human Factors in Computing Systems (CHI '19), Glasgow, Scotland Uk

Presentation Conference Type Edited Proceedings
Conference Name 2019 CHI Conference on Human Factors in Computing Systems (CHI '19)
Start Date May 4, 2019
End Date May 9, 2019
Acceptance Date Dec 10, 2018
Online Publication Date May 4, 2019
Publication Date May 2, 2019
Deposit Date Jun 5, 2019
Publicly Available Date Jun 6, 2019
Publisher Association for Computing Machinery (ACM)
Pages 1–15
Book Title CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Paper
ISBN 9781450359702
DOI https://doi.org/10.1145/3290605.3300801
Public URL https://nottingham-repository.worktribe.com/output/2147214
Publisher URL https://dl.acm.org/citation.cfm?doid=3290605.3300801
Additional Information Paper no. 571
Contract Date Jun 5, 2019

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