國立虎尾科技大學 |

Formal design concept and participant behavior analysis for crowdsourcing design.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Formal design concept and participant behavior analysis for crowdsourcing design./
作者:	Kim, Jihoon.
面頁冊數:	1 online resource (177 pages)
附註:	Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.
標題:	Industrial engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781321706543

Formal design concept and participant behavior analysis for crowdsourcing design.
Kim, Jihoon.

Formal design concept and participant behavior analysis for crowdsourcing design. - 1 online resource (177 pages)

Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.

Thesis (Ph.D.)--Wayne State University, 2015.

Includes bibliographical references

Crowdsourcing has emerged as a new design resource for conceptual design process and multiple crowdsourcing services provide an opportunity for design idea collection and concept generation by crowds. However, few formal methods are available to extract and evaluate design concepts from the activities of the design crowd. Scarcity of information and non-guaranteed quality of contributions are often challenges to be tackled. To overcome the challenges, the research aims to answer how a system systematically extracts and represents the explicit or implicit hidden design concepts from crowdsourcing design activities and how crowdsourcing design activities of participants are captured as design information to develop a product in crowdsourcing platform in the perspectives of process and elements.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781321706543Subjects--Topical Terms:

679492
Industrial engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Formal design concept and participant behavior analysis for crowdsourcing design.
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245 1 0 $a Formal design concept and participant behavior analysis for crowdsourcing design.
264 0 $c 2015
300 $a 1 online resource (177 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.
500 $a Adviser: Kyoug-Yun Kim.
502 $a Thesis (Ph.D.)--Wayne State University, 2015.
504 $a Includes bibliographical references
520 $a Crowdsourcing has emerged as a new design resource for conceptual design process and multiple crowdsourcing services provide an opportunity for design idea collection and concept generation by crowds. However, few formal methods are available to extract and evaluate design concepts from the activities of the design crowd. Scarcity of information and non-guaranteed quality of contributions are often challenges to be tackled. To overcome the challenges, the research aims to answer how a system systematically extracts and represents the explicit or implicit hidden design concepts from crowdsourcing design activities and how crowdsourcing design activities of participants are captured as design information to develop a product in crowdsourcing platform in the perspectives of process and elements.
520 $a This research provides taxonomy of design features to represent crowdsourcing design activities. With the taxonomy, a formal concept analysis method, Galois lattices, is applied to evaluate activities of design crowd and to extract possible design concepts. Using this approach, the crowd activities are represented with design features and participant information and it allows modeling the potential design concepts with the contributions of participants. Two participant evaluating measures, Participant Individual Score and Participant Group Score, are proposed to enhance the extracted design concepts with participants' information. By employing the proposed scores and design features, this research figure out the significance of participants' behavior in crowdsourcing design. In addition, a formal method to represent the processes and elements in crowdsourcing design activities with the theory adopted from social science, Actor Network Theory. The presented method and metrics are validated with a real design data collected from a crowdsourcing service by focus group interview and precision and recall tests.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Industrial engineering. $3 679492
655 7 $a Electronic books. $2 local $3 554714
690 $a 0546
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Wayne State University. $b Industrial Engineering. $3 1187688
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3700637 $z click for full text (PQDT)