Article | KEER2014. Proceedings of the 5th Kanesi Engineering and Emotion Research; International Conference; Linköping; Sweden; June 11-13 | Flow Kansei Engineering: Qualifying Conscious and Unconscious Behavior to Gain Optimal Experience in Kansei Engineering
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Title:
Flow Kansei Engineering: Qualifying Conscious and Unconscious Behavior to Gain Optimal Experience in Kansei Engineering
Author:
Zhabiz Shafieyoun: Politecnico di Milano, Design Department, SIP Lab, Italy Marco Maiocchi: Politecnico di Milano, Design Department, SIP Lab, Italy
Download:
Full text (pdf)
Year:
2014
Conference:
KEER2014. Proceedings of the 5th Kanesi Engineering and Emotion Research; International Conference; Linköping; Sweden; June 11-13
Issue:
100
Article no.:
052
Pages:
619-628
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2014-06-11
ISBN:
978-91-7519-276-5
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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The general tendency of design is that being based on human and the aim of Kansei engineering is to follow the structure of emotions based on human behaviors. As we know; Kansei appears in individual emotions and is able to create different feelings in human mind (Nagamachi; 2010) where Flow is a teleonomy of the self (Csikzentmihaly; 1992). However; Design has a convergent and divergent relation with needs and desires. Accordingly; designers are obliged to meet user‚Äôs desires but the implicit needs of such an emotional experience are difficult; partly because people express their emotions both consciously and unconsciously. Analyzing the relationship between Kansei and Flow; activities can have optimal behavior output. This article provides a new approach; which can be applied to capture the emotions of users and proposes a new framework of Kansei Engineering (KE) to handle the optimal experience of people besides their needs in a various tangible fields such as interior and product design. In this study we use the KE Model of Sch√ľtte because it is understandable and compatible with new tools. We use Flow in semantic and properties space and we created a Flow space during the synthesis step of this level.

Keywords: Kansei Engineering; Flow; Optimal Experience; Product Design; Neuroscience; Positive Psychology; Healthcare Design

KEER2014. Proceedings of the 5th Kanesi Engineering and Emotion Research; International Conference; Linköping; Sweden; June 11-13

Author:
Zhabiz Shafieyoun, Marco Maiocchi
Title:
Flow Kansei Engineering: Qualifying Conscious and Unconscious Behavior to Gain Optimal Experience in Kansei Engineering
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KEER2014. Proceedings of the 5th Kanesi Engineering and Emotion Research; International Conference; Linköping; Sweden; June 11-13

Author:
Zhabiz Shafieyoun, Marco Maiocchi
Title:
Flow Kansei Engineering: Qualifying Conscious and Unconscious Behavior to Gain Optimal Experience in Kansei Engineering
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