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Knowledge-Based Systems. Methods for Developing and Evaluating Expert Systems: A Language/Action Model of Human-Computer Communication in a Psychiatric Hospital

机译:基于知识的系统。开发和评估专家系统的方法:精神病医院中人机交流的语言/行为模型

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摘要

When a staff physician says to an intern he is supervising “I think you should try medication X,” this statement may differ in meaning from the same string of words spoken between colleagues. In the first case, the statement may have the force of an order (“Do this!”), while in the latter it is merely a suggestion. In either case, the utterance sets up important expectations which constrain the future actions of the parties involved. This paper lays out an analytic framework, based on speech act theory, for representing such “conversations for action” so that they may be used to inform the design of human-computer interaction. The language/action design perspective views the information system -- in this case an expert system that monitors drug treatment -- as one of many “agents” within a broad communicative network. Speech act theory is used to model a typical psychiatric hospital unit as a system of communicative action. In addition to identifying and characterizing the primary communicative agents and speech acts, the model presents a taxonomy of key conversational patterns and shows how they may be applied to the design of a clinical monitoring system. In the final section, the advantages and implications of this design approach are discussed.
机译:当一名内科医师对一名实习生说他正在督导“我认为您应该尝试使用X药物”时,这种说法的含义可能与同事之间所说的相同字串有所不同。在第一种情况下,语句可能具有命令的力量(“执行此操作!”),而在后一种情况下,这仅是建议。无论哪种情况,话语都树立了重要的期望,这些期望限制了有关各方未来的行动。本文提出了一种基于言语行为理论的分析框架,用于表示这种“行动对话”,以便可以将其用于人机交互设计。语言/行动设计观点将信息系统(在这种情况下为监视毒品治疗的专家系统)视为广泛的交流网络中的许多“代理”之一。言语行为理论用于将典型的精神科医院单位建模为交流行为系统。除了识别和表征主要的交流媒介和言语行为外,该模型还提供了关键对话模式的分类法,并展示了如何将其应用于临床监测系统的设计。在最后一节中,讨论了这种设计方法的优点和含义。

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