Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/188487
Authors: 
Luh, Ding-Bang
Ma, Chia-Hsiang
Hsieh, Ming-Hsuan
Huang, Cheng-Yong
Year of Publication: 
2011
Citation: 
[Journal:] Journal of Industrial Engineering and Management (JIEM) [ISSN:] 2013-0953 [Volume:] 5 [Year:] 2012 [Issue:] 1 [Pages:] 229-258
Abstract: 
Purpose: Consideration of consumer opinion is a key success factor when it comes to developing a new product. However, businesses may lack suitable methods for this, and designers may lack practical training, with both situations meaning that firms are unable to precisely adopt consumer opinions. Moreover, consumer cognitions for a product are widely regarded as changeable and abstract. It is worth studying how to determine consumers' opinions and transform them into references for prototype development. The purpose of this study is thus to create an Empathic Design Model which would be able to determine consumer cognitive orientation. Design/methodology/approach: This model includes observing related phenomena, laddering the cognition, connecting the elements of the Associations Matrix, producing the hierarchy of the following four items, attributes, functional consequences, psychosocial consequences and values, and then producing a prototype to help designers and consumers reach a consensus on the cognitive structure of products. Findings: As demonstrated in a case study of the design of an "electronic tour guide", the authors developed a prototype that can help a guide to perform their job on a group package tour. Consequently, the Empathic Design Model can be operated and put into practice. By Mind Mapping, the prototype can be then imitated and reinvented by designers as needed.Originality/value: This model focuses on the early phase of the design process, providing the designing industry with a technique to forecast consumers' potential needs and develop a prototype effectively.
Subjects: 
Empathic design
consumer demand
cognitive structure
product prototypes
demand forecasting
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by-nc/3.0/
Document Type: 
Article
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