Year: 2024
Type: preprint
Abstract: Creativity in visualisation design is essential for designers and data scientists who need to present data in innovative ways. It is often achieved through sketching or drafting low-fidelity prototypes. However, judging this innovation is often difficult. A creative visualisation test would offer a structured approach to enhancing visual thinking and design skills, which are vital across many fields. Such a test can facilitate objective evaluation, skill identification, benchmarking, fostering innovation, and improving learning outcomes. In developing such a test, we propose focusing on four criteria: Quantity, Correctness, Novelty, and Feasibility. These criteria integrate into a test that is easy to administer. We name it the Rowen Test of Creativity in Visualisation Design; We introduce the test, scoring system and results from using eight visualisation experts.
Source: arXiv (Cornell University)
Authors: Owen, Aron E, Roberts, Jonathan C
Institution: Bangor University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4402955401