Jeanine Krath
University of Koblenz-Landau, Koblenz, Germany
The Hexad scale is a crucial tool for personalized gamification in user experience (UX) design. However, completing a 24-item questionnaire can increase dropout rates and screen fatigue within online surveys. When included in larger surveys, scale brevity makes a difference. To reduce the time required for the assessment process, we developed and validated a 12-item version of the Hexad scale. To create it, we carried out an exploratory factor analysis on an existing data set to identify appropriate items ($n=882$). To validate the 12-item version, we conducted a confirmatory factor analysis on a new data set ($n=1,101$). Our results show that Hexad-12 outperforms the original Hexad scale regarding model fit, reliability, convergent, and discriminant validity. Therefore, Hexad-12 resolves issues found in studies using the original Hexad scale and provides a suitable and swift instrument for concisely assessing Hexad user types in tailored gamification design.
https://doi.org/10.1145/3544548.3580968
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)