Boran,, FE, Efe,, B, Akay,, D et al. (1 more author) (2014) Understanding Customers' Affective Needs with Linguistic Summarization. In: The Proceedings of the Kansei Engineering and Emotion Research International Conference 2014. Kansei Engineering and Emotion Research, 10-13 Jun 2014, Linkoping, Sweden.
Abstract
Abstract: To increase the chance of launching a successful product into market, it is essential to satisfy customers’ affective needs during the product design stage. However, understanding customers’ affective needs is very difficult task and product designers might misunderstand the customers’ affective needs. In this study, linguistic summarization with fuzzy set is used to present customers’ affective needs with natural language statements which could be easily understood by human beings. The relations between customers’ affective needs and product design elements are represented by type-I and type-II fuzzy quantified sentences. To illustrate the applicability of the linguistic summarization with fuzzy set in translating customers’ affective needs to natural language statements, a case study is conducted on mobile phone design. The results indicate that the linguistic summarization with fuzzy set can be a useful tool to assist designers to create products satisfying affective needs of customers
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | This is an author produced version of a paper presented at Kansei Engineering and Emotion Research Conference 2014. |
Keywords: | Affective Design, Linguistic Summarization, Fuzzy Sets |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Jul 2016 15:39 |
Last Modified: | 18 Jan 2018 05:22 |
Published Version: | http://dqi.id.tue.nl/keer2014/KEER2014_abstracts.p... |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:91125 |