Bauer Aaron, Popović Zoran
University of Washington.
Proc ACM Hum Comput Interact. 2017 Nov;1. doi: 10.1145/3134657.
Countless human pursuits depend upon collaborative problem solving, especially in complex, open-ended domains. As part of the growing technological support for such collaboration, an opportunity exists to design systems that actively guide and facilitate collaborative problem solving toward the most productive outcomes. A better understanding of the dynamics of open-ended collaboration on complex problems is needed to realize this opportunity. Motivated by this need for better understanding, we investigate the collaborative problem solving ecosystem of the scientific-discovery game . Our investigation is guided by two primary questions: how do the social aspects of impact an individual's behavior? and what factors have significant impact on group success? We find that collaboration and competition are associated with increased participation and that collaboration increases individual performance. We also find that measures of group skill, individual skill, and participation correlate with better group performance.
无数人类活动都依赖于协作解决问题，尤其是在复杂的、开放式领域。作为对这种协作日益增长的技术支持的一部分，存在着设计系统的机会，这些系统能够积极引导并促进协作解决问题，以实现最高效的成果。为了实现这一机会，需要更好地理解在复杂问题上的开放式协作动态。受这种更好理解的需求驱动，我们研究了科学发现游戏的协作解决问题生态系统。我们的研究由两个主要问题引导：社会方面如何影响个体行为？以及哪些因素对团队成功有重大影响？我们发现协作和竞争与参与度增加相关，并且协作能提高个体表现。我们还发现团队技能、个体技能和参与度的衡量指标与更好的团队表现相关。
