Mixplorer: Scaffolding Design Space Exploration through Genetic Recombination of Multiple Peoples' Designs to Support Novices' Creativity

要旨

The ability to consider a wide range of solutions to a design problem is a crucial skill for designers, and is a major differentiator between experts and novices. One reason for this is that novices are unaware of the full extent of the design space in which solutions are situated. To support novice designers with design space exploration, we introduce Mixplorer, a system that allows designers to take an initial design and mix it with other designs. Mixplorer differs from existing tools by supporting the exploration of ill-defined design spaces through social design space exploration. To evaluate Mixplorer, we conducted (1) an interview study with design instructors who reported that Mixplorer would "help to open the minds" of novice designers and (2) a controlled experiment with novices, finding that the design-mixing functionality of Mixplorer provided significantly better support for creativity, and that participants who mixed designs produced more novel designs.

著者
Kevin Gonyop Kim
EPFL, Lausanne, Switzerland
Richard Lee. Davis
EPFL, Lausanne, Switzerland
Alessia Eletta Coppi
Swiss Federal Institute for Vocational Education and Training, Lugano , Switzerland
Alberto A. P.. Cattaneo
Swiss Federal University for Vocational Education and Training, Lugano, Switzerland
Pierre Dillenbourg
EPFL, Lausanne, Switzerland
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3501854

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Creativity Support Tools

286–287
4 件の発表
2022-05-03 18:00:00
2022-05-03 19:15:00