UNISON framework of data-driven innovation for extracting user experience of product design of wearable devices. (September 2016)
- Record Type:
- Journal Article
- Title:
- UNISON framework of data-driven innovation for extracting user experience of product design of wearable devices. (September 2016)
- Main Title:
- UNISON framework of data-driven innovation for extracting user experience of product design of wearable devices
- Authors:
- Lin, Kuo-Yi
Chien, Chen-Fu
Kerh, Rhoann - Abstract:
- Highlights: A data mining and data-driven framework is constructed to extract user preferences effectively. An empirical study was conducted to derive useful rules for product form of wearable devices. Specific rules are employed to support product design based on user experience. The proposed approach was validated and implemented in real settings. Abstract: For consumer products, the time-to-market pressure and market share competition are intensive due to the shortening product life cycles. Product form design that contributes to the user experience (UX) is critical to distinguish the product from others. However, few studies have been done for exploring the relationship between UX and the design of product form. To fill the gaps, this study aims to propose a UNISON framework for data-driven innovation to capture the user experience and preference among the factors of product form designs to derive useful rules. An empirical study was conducted for the product design of wearable devices of a world leading Electronics Manufacturing Service (EMS) company with experimental designs of the subjects with different backgrounds to extract their UX to derive design rules. The results have shown practical viability of the proposed approach to assist the designers to develop product design strategies based on the consumer characteristics and the product UX to launch the preferred products to the corresponding customers to enhance customer satisfaction.
- Is Part Of:
- Computers & industrial engineering. Volume 99(2016)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 99(2016)
- Issue Display:
- Volume 99, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 99
- Issue:
- 2016
- Issue Sort Value:
- 2016-0099-2016-0000
- Page Start:
- 487
- Page End:
- 502
- Publication Date:
- 2016-09
- Subjects:
- Data-driven innovation -- User experience -- Wearable devices -- Product design -- UNISON framework -- Data mining
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2016.05.023 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 792.xml