Junaidy, D. W., Georgiev, G. V., Kaner, J., Alfin, E., Identifying Interior Spatial Dimensions According to User Preference: An Associative Concept Network Analysis, ISSN: 2443-258X, Vol. 19:3, p. 309-326
Identifying interior spatial dimensions according to user preference : an associative concept network analysis
|Author:||Junaidy, Deny Willy1; Georgiev, Georgi V.2; Kaner, Jake3;|
1Human and Interior Space Research Group, Institut Teknologi Bandung (ITB)
2Center for Ubiquitous Computing (UBICOMP), University of Oulu (Finland)
3School of Art and Design, Nottingham Trent University (UK)
|Online Access:||PDF Full Text (PDF, 2.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202103036400
Kelompok Keahlian Ilmu Kemanusiaan,
|Publish Date:|| 2021-03-03
This study proposed a fundamental technique for evaluating the preferences of interior space users by capturing their verbally expressed preferences and then determining word associations. To accomplish this, the Pajek visualization software for large network analysis was employed in conjunction with the USF Word Association dictionary to visualize the structures and network depths of the derived associative meanings. The generated associative words were then qualitatively categorized into taxonomic word groups to reveal 13 dimensions of perceived interior-environmental quality, as follows: House-related, Territorial, Impression, Activity, Active Element of Nature, Nature, Building Materials, Companion, Household Basics, Color, Location, Composition, and Time Period. A factor analysis was then conducted to sort the generated associative words according to Out- Degree Centrality/ODC score. These were validated into five factors that appeared to influence the comfort levels of interior space users. These five factors and 13 dimensions are useful as objective bases for determining the composition of adjectival pairs through the Semantic Differential (SD) method, which helps designers and architects evaluate interior space preferences.
|Pages:||309 - 326|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
222 Other engineering and technologies
119 Other natural sciences
6132 Visual arts and design
520 Other social sciences
616 Other humanities
We would like to thank the Institute of Research and Community Service, Institut Teknologi Bandung (ITB) for International Research Grant (RI 2018). We are also grateful to the Center for Ubiquitous Computing, ITEE, and the University of Oulu and to the School of Art and Design, Nottingham Trent University for providing technical support.
© The Authors 2020.