Capturing the Production of Innovative Ideas: An Online Social Network Experiment and “Idea Geography” Visualization

Yiding Cao*, Yingjun Dong, Minjun Kim, Neil G. MacLaren, Ankita Kulkarni, Shelley D. Dionne, Francis J. Yammarino, Hiroki Sayama

*この研究の対応する著者

研究成果: Conference contribution

抄録

Collective design and innovation are crucial in organizations. To investigate how the collective design and innovation processes would be affected by the diversity of knowledge and background of collective individual members, we conducted three collaborative design task experiments which involved nearly 300 participants who worked together anonymously in a social network structure using a custom-made computer-mediated collaboration platform. We compared the idea generation activity among three different background distribution conditions (clustered, random, and dispersed) with the help of the “doc2vec” text representation machine learning algorithm. We also developed a new method called “Idea Geography” to visualize the idea utility terrain on a 2D problem domain. The results showed that groups with random background allocation tended to produce the best design idea with the highest utility values. It was also suggested that the diversity of participants’ backgrounds distribution on the network might interact with each other to affect the diversity of ideas generated. The proposed idea geography successfully visualized that the collective design processes did find the high utility area through exploration and exploitation in collaborative work.

本文言語English
ホスト出版物のタイトルProceedings of the 2019 International Conference of The Computational Social Science Society of the Americas
編集者Zining Yang, Elizabeth von Briesen
出版社Springer Science and Business Media B.V.
ページ341-354
ページ数14
ISBN(印刷版)9783030775162
DOI
出版ステータスPublished - 2021
外部発表はい
イベントInternational Conference of the Computational Social Science Society of the Americas, CSSSA 2019 - Santa Fe, United States
継続期間: 2019 10月 242019 10月 27

出版物シリーズ

名前Springer Proceedings in Complexity
ISSN(印刷版)2213-8684
ISSN(電子版)2213-8692

Conference

ConferenceInternational Conference of the Computational Social Science Society of the Americas, CSSSA 2019
国/地域United States
CitySanta Fe
Period19/10/2419/10/27

ASJC Scopus subject areas

  • 応用数学
  • モデリングとシミュレーション
  • コンピュータ サイエンスの応用

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