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Competing Models for Intelligent Systems Analysis of Client-Therapist Transactions

机译:客户治疗师交易智能系统分析的竞争模型

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摘要

As one phase in a study of ‘intelligent system’ utilization for understanding/facilitating the interaction between a patient and a psychotherapist, contrasting models of their verbal exchanges are examined critically. The two emergent models studied are the essentially Speech Act Theory model as used by William Labov, et al. and our own initial formulation of a Discourse-Analytic model. Extent of computational operationalizability, degree of fine-grainedness of analysis, and other properties of the two developing models are examined. Focus and precision are provided for the comparison by using each model vis-a-vis the same body of primary data. The prospective usefulness of such an intelligent systems capability both as a clinical aid and for research on the therapeutic process is clarified in the discussion of the results of using each of the contrasting models. To aid in assessing the feasibility of realizations of the models in intelligent systems programs, the issue of tacitness/explicitness in their present form is directly addressed.
机译:作为研究“智能系统”以了解/促进患者与心理治疗师之间互动的一个阶段,我们对其言语交流的对比模型进行了严格审查。研究的两个新兴模型是William Labov等人使用的本质上是言语行为理论模型。以及我们自己最初建立的话语分析模型。检查了计算可操作性的程度,分析的细粒度程度以及两个开发模型的其他属性。通过使用每个模型相对于同一组主要数据,提供了焦点和精度以进行比较。在讨论使用每种对比模型的结果时,阐明了这种智能系统功能既可作为临床辅助工具,又可用于治疗过程研究的预期用途。为了帮助评估在智能系统程序中实现模型的可行性,直接解决了其当前形式的默认性/明确性问题。

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