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

Capturing the Production of Innovative Ideas: An Online Social Network Experiment and “Idea Geography” Visualization
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捕捉创新想法的产生:在线社交网络实验和“想法地理”可视化

DOI:
10.1007/978-3-030-77517-9_20
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发表时间:
2021
期刊:
Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas
影响因子:
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通讯作者:
Sayama, Hiroki
Sayama, Hiroki
中科院分区:
--
文献类型:
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作者:
Cao, Yiding;Dong, Yingjun;Kim, Minjun;MacLaren, Neil G.;Kulkarni, Ankita;Dionne, Shelley D.;Yammarino, Francis J.;Sayama, Hiroki

文献摘要

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集体设计和创新在组织中至关重要。为了探讨集体设计和创新过程将如何受到集体个体成员的知识和背景的多样性的影响,我们进行了三个协作设计任务实验,涉及近300名参与者,他们使用定制的计算机介导的协作平台在社会网络结构中匿名一起工作。我们在“doc2vec”文本表示机器学习算法的帮助下,比较了三种不同背景分布条件(聚类、随机和分散)下的想法生成活动。我们还开发了一种新的方法,称为“理念地理”可视化的想法实用地形上的二维问题域。结果表明,随机背景分配的群体倾向于产生具有最高效用值的最佳设计思想。与会者还指出,网络上参与者背景分布的多样性可能会相互影响,影响所产生想法的多样性。所提出的理念地理学成功地可视化了集体设计过程确实通过协同工作中的探索和开发找到了高效用区域。
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.