Fixation and Creativity in Data Visualization Design: Experiences and Perspectives of Practitioners

Paul Parsons, Prakash Chandra Shukla, Chorong Park

View presentation:2021-10-28T16:00:00ZGMT-0600Change your timezone on the schedule page
2021-10-28T16:00:00Z
Exemplar figure, described by caption below
Data visualization design often requires creativity, and research is needed to understand its nature and means for promoting it. The current visualization literature on creativity is not well developed, especially with respect to the experiences of professional data visualization designers. We conducted semi-structured interviews with visualization practitioners, focusing on a specific aspect of creativity known as design fixation. Fixation occurs when designers adhere blindly or prematurely to a set of ideas that limit creative outcomes. We present practitioners' experiences and perspectives from their own design practice, specifically their views of the nature of fixation, factors encouraging fixation, factors discouraging fixation.
Keywords

Methodologies, Taxonomy, Models, Frameworks, Theory, Other Contribution, Human-Subjects Qualitative Studies

Abstract

Data visualization design often requires creativity, and research is needed to understand its nature and means for promoting it. However, the current visualization literature on creativity is not well developed, especially with respect to the experiences of professional data visualization designers. We conducted semi-structured interviews with 15 data visualization practitioners, focusing on a specific aspect of creativity known as \textit{design fixation}. Fixation occurs when designers adhere blindly or prematurely to a set of ideas that limit creative outcomes. We present practitioners' experiences and perspectives from their own design practice, specifically focusing on their views of (i) the nature of fixation, (ii) factors encouraging fixation, and (iii) factors discouraging fixation in a data visualization context. We identify opportunities for future research related to chart recommendations, inspiration, and perspective shifts in data visualization design.