A semantic discontinuity detection (SDD) method for comparing designers' product expressions with users' product impressions

Designers exert substantial effort to define an intended user experience (UX) for a product, service or system. However, discontinuities can arise when the actual UX of users differs from the design intent. This paper presents a `Semantic Discontinuity Detection' (SDD) method capable of locating discontinuities between (i) realized product semantics, based on users' initial visual impression of a product, and (ii) intended product semantics, based on the originating designer's visual product expression. The experimental design includes a new technique termed 'Semantic Network Clustering' (SNC) to organize diverse product appraisal lexicon. Data generated by the method provides evidence to assist re-designing for reduced semantic discontinuity. The method is suggested to be suitably agile for a wide range of UX intent-realization research.


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Citation Formats
J. Khalaj and O. F. Pedgley, “A semantic discontinuity detection (SDD) method for comparing designers’ product expressions with users’ product impressions,” DESIGN STUDIES, pp. 36–67, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39958.