Question-Driven Explanatory Reasoning About Devices that Malfunction

Abstract

The goal of this project is to investigate how adults reason about everyday devices(e.g.. locks doorbells dishwashers clutches) when the devices break down. Deep comprehension of a device is presumably manifested by reasoning in the face of the malfunctioning device because the comprehender has to diagnose the fault and figure out how to correct it. The primary hypothesis is that good comprehenders will ask and answer good questions. A good question is defined as a question that identifies a plausible fault that causally explains the breakdown. A bad question addresses irrelevant content that does not provide a likely explanation of the malfunction.

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Document Details

Document Type
Technical Report
Publication Date
Jul 14, 1999
Accession Number
ADA365625

Entities

People

  • Arthur C. Graesser

Organizations

  • University of Memphis

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  • Autonomy
  • Materials and Manufacturing Processes

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  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Computers
  • Education
  • Educational Psychology
  • Military Research
  • Natural Language Processing
  • Natural Languages
  • Neural Networks
  • New York
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  • Artificial Intelligence
  • Electrical Engineering
  • Systems Analysis and Design