Generalized Process Model of Human Action Selection and Error and its Application to Error Prediction.

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外文摘要：Our model of action selection and postcompletion error in two form filling tasks extends to skip errors in a story telling task. We also discuss how it explains perseverations in one of the aforementioned form filling tasks. Finally we discuss a predictive classifier application we built from the model's data. The classifier could allow an autonomous agent to know when it is a bad time to interrupt a human, when a human is about to err, and how to help.

外文关键词：

Error analysisInformation processingClassificationCognitive scienceCollaborative techniquesComputerized simulationDecision makingExperimental psychologyInterruptionLearning machinesLogicMan computer interfaceMemory(psychology)Pattern recognitionPerformance(engineering)Cognitive architectureAction selectionHuman errorProcess modelsPredictive modelsHuman-computer interactions

报告作者：

Tamborello, I.、Trafton, J. G.

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作者单位：

Naval Research Lab., Washington, DC.

报告编号：

ADA619030

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报告类型：

美国国防技术信息中心报告