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A semantic discontinuity detection (SDD) method for comparing designers' product expressions with users' product impressions.
- Source :
-
Design Studies . May2019, Vol. 62, p36-67. 32p. - Publication Year :
- 2019
-
Abstract
- 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. • Method comparing designers' intended product expressions against users' product impressions. • 'Semantic Network Clustering' technique to organize diverse impression statements. • Uncovers links between semantic appraisals and physical product features. • Generates evidence to assist re-designing for reduced semantic discontinuity. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0142694X
- Volume :
- 62
- Database :
- Academic Search Index
- Journal :
- Design Studies
- Publication Type :
- Academic Journal
- Accession number :
- 136563983
- Full Text :
- https://doi.org/10.1016/j.destud.2019.02.002