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首页> 外文会议>International Conference on Automated Planning and Scheduling(ICAPS 2006); 2006; >Evaluating Mixed-Initiative Systems: An Experimental Approach
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Evaluating Mixed-Initiative Systems: An Experimental Approach

机译：评估混合启动系统：一种实验方法

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摘要

Mixed-Initiative approaches to Planning and Scheduling are being applied in different real world domains. While several recent successful examples of such tools encourage a wider use of this solving paradigm, research in mixed-initiative interaction is still at an early stage and many important issues need to be addressed. In particular, most of the work has been dedicated to designing working prototypes and iden-tifying relevant features of the mixed-initiative interaction, while much less attention has been given to the problem of evaluating the approach as a whole. This article is aimed at addressing some of the many diverse aspects involved in Mixed-Initiative Planning and Scheduling system evaluation, highlighting the need for a methodology to provide effective evaluation studies for this class of tools. In this paper we consider an established research methodology in experimental psychology, and adopt it to investigate specific aspects of mixed-initiative interaction. Specifically, the experiments described in this article shed some light on three aspects: (a) understanding users' attitude when choosing between automated and mixed-initiative problem solving, (b) investigating recourse to explanation services as a means to foster the users' involvement in the solving process, and (c) investigating possible individual differences (e.g., experts vs. non-experts) in the choice of resolution strategy or access to explanation.
机译：计划和调度的混合启动方法正在不同的现实世界域中应用。尽管最近有一些成功的此类工具示例鼓励更广泛地使用此解决方案范例，但是混合启动交互中的研究仍处于早期阶段，许多重要问题需要解决。特别是，大多数工作都致力于设计工作原型并确定混合启动交互的相关特征，而对整体评估方法的关注却很少。本文旨在解决涉及混合计划和计划系统评估的许多不同方面中的某些方面，强调需要一种方法来为此类工具提供有效的评估研究。在本文中，我们考虑了一种建立在实验心理学上的研究方法，并采用它来研究混合主动互动的特定方面。具体来说，本文所述的实验从三个方面进行了阐述：（a）在自动解决方案和混合解决方案之间进行选择时，了解用户的态度；（b）研究对解释服务的依赖，以此来促进用户的参与在解决过程中，以及（c）研究在选择解决方案策略或获得解释权方面可能存在的个体差异（例如，专家与非专家）。

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