DocumentCode
677868
Title
Affective Engineering for Streetscape Analysis: Evaluation of Traditional Japanese Mud Walls Using a Self-Organizing Map
Author
Nagaoka, A. ; Ogawa, Rina ; Tsuchiya, Takao
Author_Institution
Fac. of Econ., Shimonoseki City Univ., Shimonoseki, Japan
fYear
2013
fDate
13-16 Oct. 2013
Firstpage
1132
Lastpage
1137
Abstract
Affective/Kansei engineering is used to analyze subjective responses to a streetscape plan for a historic townscape. The Chofu area in Shimonoseki was chosen for the research. The appearance of the streetscape is evaluated based on actual photographs using a traditional semantic differential method. Guidelines are often formulated to promote landscaping plans in historic towns, it is especially important to formulate color guidelines so as to unify the colors in an area undergoing change. The affective engineering proposed in this study reveals representative design elements arising from the regional characteristics of the area and its people. The pilot investigation using a self-organizing map validated the evaluation of mud wall colors.
Keywords
history; image colour analysis; self-organising feature maps; town and country planning; walls; Chofu area; Kansei engineering; Shimonoseki; affective engineering; area regional characteristics; color guidelines; historic townscape; landscaping plans; mud wall color evaluation; people regional characteristics; photographs; representative design elements; self-organizing map; streetscape analysis; traditional Japanese mud walls; traditional semantic differential method; Correlation; Guidelines; Histograms; Image color analysis; Semantics; Surface texture; Vectors; SOM; affective engineering; mud wall;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location
Manchester
Type
conf
DOI
10.1109/SMC.2013.197
Filename
6721950
Link To Document