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

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). Card Mapper: Enabling Data-Driven Reflections on Ideation Cards. In CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Paper. https://doi.org/10.1145/3290605.3300801

• Conference Name: 2019 CHI Conference on Human Factors in Computing Systems (CHI '19)
• Conference Location: Glasgow, Scotland Uk
• Start Date: May 4, 2019
• End Date: May 9, 2019
• Acceptance Date: Dec 10, 2018
• Online Publication Date: May 4, 2019
• Publication Date: May 4, 2019
• Deposit Date: Jun 5, 2019
• Publicly Available Date: Jun 6, 2019
• Publisher: Association for Computing Machinery (ACM)
• 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