Towards Metrics for Evaluating Creativity in Visualisation Design

September 03, 2024 Β· Declared Dead Β· πŸ› arXiv.org

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Aron E Owen, Jonathan C Roberts arXiv ID 2409.02036 Category cs.HC: Human-Computer Interaction Citations 1 Venue arXiv.org Last Checked 4 months ago
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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Human-Computer Interaction

Died the same way β€” πŸ‘» Ghosted