Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Frequently Asked Questions
Frequently Asked Questions
Browse
Browse
By Issue Date
By Issue Date
Authors
Authors
Titles
Titles
Subjects
Subjects
Communities & Collections
Communities & Collections
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
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
9
views
0
downloads
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
Journal
DESIGN STUDIES
DOI
https://doi.org/10.1016/j.destud.2019.02.002
Collections
Department of Industrial Design, Article