Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

About the nature of Kansei information

Authors
Bouchard, CaroleKim, Ji Eun
Issue Date
Jul-2014
Publisher
CRC Press Taylor & Francis Group
Keywords
Kansei information; Measure of emotions; Kansei formats
Citation
Advances in Affective and Pleasurable Design, pp.217 - 224
Indexed
OTHER
Journal Title
Advances in Affective and Pleasurable Design
Start Page
217
End Page
224
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/159491
Abstract
Kansei studies refer to the more and more holistic consideration of the cognitive and affective processes which occur during user experience. In addition, few studies deal with the experience of the designers during the design process, and its influence on the final design outputs. Historically kansei engineering has been firstly focused on the semantic differential approach. Afterwards emotions were integrated into kansei approaches. The semantic differential approach enabled to evaluate products and then to generate automatically design solutions with semantic input data. Thereafter, evaluations have been completed by physiological measurements in order to reduce the subjectivity involved in those evaluations and also to capture some unconscious reactions. This implementation is still in process. Today kansei studies have been much enriched from the three disciplines of design science, psychology and artificial intelligence. The cross influence between these disciplines brought new dimensions into kansei approaches (multisensory design information, personality, values, and culture, new formalisms and algorithms) which lead progressively towards the consideration of a whole enriched kansei experience. We propose in this paper a description of the nature of kansei information. Then we present some major orientations for kansei evaluation. Finally we propose an overall table gathering information about kansei dimensions and formats.
Files in This Item
Go to Link
Appears in
Collections
서울 기술경영전문대학원 > 서울 기술경영학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Ji Eun photo

Kim, Ji Eun
GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT (DEPARTMENT OF TECHNOLOGY MANAGEMENT)
Read more

Altmetrics

Total Views & Downloads

BROWSE