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

Date

2019-05-01

Author

Khalaj, Javad
Pedgley, Owaın Francıs

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

General Engineering, Arts and Humanities (miscellaneous), General Social Sciences, Artificial Intelligence, Architecture, Computer Science Applications

URI

https://hdl.handle.net/11511/39958

Collections

Department of Industrial Design, Article