Salt Lake City, Utah
June 23, 2018
June 23, 2018
July 27, 2018
Design in Engineering Education
Product design is rapidly shifting from the conventional paradigm of creativity-oriented and model-based design toward a new paradigm of user-centered and data-driven design. Against such a background, this paper discusses the values of massively crowdsourced customer reviews for engineering design education. Recently, customers become growingly motivated to share their first-hand experience of using a product on various e-commerce and social platforms in the format of customer reviews (CRs). In practice, these informative CRs are increasingly employed by professional designers to support their early-stage design decision making. Unlike expert designers who are more comfortable at comprehending ill-structured CRs without any predefined hypothesis or structured design process, student designers should be carefully guided to uncover the implicit values of CRs for their design projects. Based on a novel integration of relevant design methods and recommendation approaches, this paper presents a CR-driven function formulation method. Student designers can follow the new method to abstract useful information from readily available customer reviews to formulate a unique engineering design problem as a set of functional requirements.
Liu, A., & Wang, Y., & Dai, Y. (2018, June), Customer Review-driven Function Formulation for Design Education Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30249
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