基于协同网络搜索的群体决策动力学研究

Tatsuya Nakamura, T. Tominaga, Miki Watanabe, Nattapong Thammasan, K. Urai, Yutaka Nakamura, Kazufumi Hosoda, T. Hara, Y. Hijikata
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引用次数: 2

摘要

在这篇论文中,我们展示了在协同网络搜索下群体决策动力学的研究结果——人们如何讨论并做出决策。先前的工作提出了支持网络搜索群体决策的系统,但没有检查讨论行为的影响,特别是对最终结论的满意度水平。在本研究中,我们使用我们的实验系统和一套问卷进行了一组实验,观察讨论行为和对结论的满意度。每个参与者的任务是选择一家餐馆。我们的初步结果显示:(1)在小组讨论的开始和结束时,所有小组的活动都是相似的,(2)对结论的满意度和得出结论所花费的时间之间缺乏对应关系,(3)假设积极参与其他成员可见的活动的成员很可能在讨论之外的小组讨论中被选为领导者。最后,我们讨论了如何实现帮助群体决策的智能系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation on dynamics of group decision making with collaborative web search
In this paper, we present results of investigation on the dynamics of group decision making - how people discuss and make a decision-with collaborative web search. Prior works proposed systems that support group decision making with web search but have not examined the influence of discussion behaviors especially on the satisfaction levels with the final conclusion. In this study, we conducted a set of experiments to observe discussion behaviors and the consequent satisfaction with the conclusion using our experimental system and a set of questionnaires. The task for each participant was to make a decision on a restaurant. Our primary results revealed (1) the similar activities across all groups at the beginning and the end of the group discussion, (2) a lack of correspondence between the satisfaction with the conclusion and the time spent to reach the conclusion, and (3) the presumption that a member who actively engaged in the activities that were visible for the other members was likely to be voted as a leader in the group discussion beyond the discussion. Finally, we discussed how to implement intelligent systems that aid group decision making.
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