Design for surprise and idea generation methods

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.

Bibliographic Details
Main Author: Tsai, Geoffrey T
Other Authors: Maria C. Yang.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2011
Subjects:
Online Access:http://hdl.handle.net/1721.1/67804
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author Tsai, Geoffrey T
author2 Maria C. Yang.
author_facet Maria C. Yang.
Tsai, Geoffrey T
author_sort Tsai, Geoffrey T
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description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.
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spelling mit-1721.1/678042019-04-12T09:37:56Z Design for surprise and idea generation methods Tsai, Geoffrey T Maria C. Yang. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 58-59). This thesis explores the meaning of surprise in product design and how surprise can be created in the early phase of the design process, specifically during ideation. In product and service markets with multiple competitors and where product differentiation is difficult, surprise, if used correctly, can be an indispensable differentiator-creating emotional attachment and fostering brand loyalty. A two-part experiment tests three different idea generation methods-brainstorming, multiple perspectives, and counter attributes (a new method proposed in this thesis)-and how ideation sketches from these methods are rated by workers on Amazon's Mechanical Turk. Findings reveal that counter attributes may be less effective at generating surprising ideas. Brainstorming and multiple perspectives perform similarly to each other, but small differences in the structure of an idea generation method may either inhibit or encourage creativity and surprise. The findings also reveal that how clearly an idea is expressed in a sketch greatly influences the variance for how it will be rated upon review. by Geoff T. Tsai. S.M. 2011-12-19T18:59:52Z 2011-12-19T18:59:52Z 2011 2011 Thesis http://hdl.handle.net/1721.1/67804 767831408 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 59 p. application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Tsai, Geoffrey T
Design for surprise and idea generation methods
title Design for surprise and idea generation methods
title_full Design for surprise and idea generation methods
title_fullStr Design for surprise and idea generation methods
title_full_unstemmed Design for surprise and idea generation methods
title_short Design for surprise and idea generation methods
title_sort design for surprise and idea generation methods
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/67804
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