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首页> 外文会议>International and Interdisciplinary Conference on Modeling and Using Context(CONTEXT 2007); 20070820-24; Roskilde(DK) >The Influence of Task Contexts on the Decision-Making of Humans and Computers
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The Influence of Task Contexts on the Decision-Making of Humans and Computers

机译：任务上下文对人机决策的影响

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摘要

Many environments in which people and computer agents interact involve deploying resources to accomplish tasks and satisfy goals. This paper investigates the way that the context in which decisions are made affects the behavior of people and the performance of computer agents that interact with people in such environments. It presents experiments that measured negotiation behavior in two different types of settings. One setting was a task context that made explicit the relationships among goals, (sub)tasks and resources. The other setting was a completely abstract context in which only the payoffs for the decision choices were listed. Results show that people are more helpful, less selfish, and less competitive when making decisions in task contexts than when making them in completely abstract contexts. Further, their overall performance was better in task contexts. A predictive computational model that was trained on data obtained in the task context outperformed a model that was trained under the abstract context. These results indicate that taking context into account is essential for the design of computer agents that will interact well with people.
机译：人与计算机代理交互的许多环境都涉及部署资源以完成任务和实现目标。本文研究了决策环境影响人的行为以及在这种环境下与人交互的计算机代理的性能的方式。它提供了在两种不同类型的设置中测量协商行为的实验。一种设置是任务上下文，它明确了目标，（子）任务和资源之间的关系。另一种设置是完全抽象的上下文，其中仅列出了决策选择的收益。结果表明，与在完全抽象的环境中进行决策相比，在任务环境中进行决策时，人们更有帮助，自私，竞争能力更弱。此外，它们在任务环境中的整体性能更好。对在任务上下文中获得的数据进行训练的预测性计算模型优于在抽象上下文中训练的模型。这些结果表明，考虑上下文对于设计可与人良好互动的计算机代理至关重要。

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