Towards a Taxonomy for Classifying Intuitive Usability Prediction Strategies in Non-Experts. (September 2016)

• Record Type: Journal Article
• Authors: Sublette, M.A.; Carswell, C.M.; Lee, M.; Kent, T.
• Is Part Of: Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Volume 60:Part 1(2016)
• Page Start: 1264
• Page End: 1268
• Publication Date: 2016-09
• Subjects: Human engineering -- Congresses; 620.8205
• DOI: 10.1177/1541931213601294
• Languages: English
• ISSNs: 1541-9312

Abstract

In order to compare the strategies consumers use to make predictions about the ease-of-use of products, the authors conducted a card sorting exercise with subject-matter experts (SMEs) to refine a coding scheme from current, widely-used usability definitions and measurement tools. Nine SMEs sorted 83 cards containing aspects found in usability definitions, guidelines, measurement tools and descriptions. The resulting fifteen clusters define a coding scheme that is both comprehensive and flexible. The refined taxonomy does not seek to redefine usability, but to provide a mechanism for researchers wanting to use a coding scheme that includes methods for classifying strategies such as usability attribution to system features, metacognitive behaviors (planning and evaluating), and exemplar-based strategies (memory for performing similar tasks).