Information Sampling During Group Performance

团体表演期间的信息采样

• 批准号: 8721844
• 负责人: Garold Stasser
• 金额: $ 10.79万
• 依托单位: Miami University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-07-01 至 1991-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8721844&HistoricalAwards=false
• 关键词: Information; Sampling; During; Group; Performance

When solving a problem or making a decision, small groups can potentially benefit from having members who can contribute a diversity of knowledge and insights. Previous research suggests, however, that decision.making groups (i.e., groups asked to make a judgment) often fail to consider information that is held by single members. Face.to.face, unstructured discussion focuses on information that all members already know, and, as a result, groups frequently overlook an option that is favored by their collective knowledge. The proposed research will examine the extent to which this phenomenon generalizes to groups that are solving a problem with a demonstratably correct answer. Additionally, the research will examine the role of strategically composed minority factions in facilitating more effective information exchange during group discussion. By tracking the flow and impact of information during discussion, the research will also provide data needed to refine the DISCUSS model of group decision making. This model simulates the sampling and use of information during face.to.face discussion en route to a group decision. It provides a convenient way of representing the complexities of group interaction and of examining the implications of changes in group composition (e.g., size and factional representation) and task demands (e.g., number of decision options or possible solutions and information load).

在解决问题或做出决定时，小组可以 潜在受益于有成员可以贡献一个 知识和见解的多样性。 先前的研究表明， 然而，决策小组（即，团体被要求 判断）往往没有考虑的信息，是由 单身成员。 面对面，非结构化的讨论集中在 所有成员都知道的信息，因此， 群体经常忽视他们喜欢的选择， 集体知识。 拟议的研究将审查 这一现象在多大程度上普遍适用于 用一个明显正确的答案来解决问题。 此外，该研究还将从战略上研究 组成的少数派别，以促进更有效的 在小组讨论中交流信息。 通过跟踪 在讨论过程中，信息的流动和影响， 还将提供完善COMS模型所需的数据， 群体决策 该模型模拟了采样和使用 在去一个小组的途中进行面对面的讨论时， 决定 它提供了一种方便的方式来表示 群体互动的复杂性和研究 组组成变化的影响（例如，尺寸和 派系代表）和任务需求（例如，数量 决策选项或可能的解决方案和信息负载）。