A Personalized and Prescriptive Decision Aid for Choice from a Database of Options.

Abstract

In many decision making contexts there is a need for aids which cater flexibly to individual users in their preferred ways of organizing information and solving problems, but which guard against potential errors or biases inherent in common approaches to decision making. DSC has developed principles of personalized and prescriptive decision aiding which respond to this need, and which are based on experimental findings and theoretical models in cognitive psychology. In Phase I of this project, those principles were applied to the development of an aid for attack submarine approach and attack. In Phase II, the principles have been generalized and extended to the development of a generic personalized and prescriptive evaluation system. The system incorporates five basic cognitive interface modules to customize the user's interaction with the aid to provide prescriptive guidance, as well as a set of interactive dialogues or guides which blend all five functions in support of specific user-selected decision-making strategies. The aid has been tested and demonstrated in the context of a personnel application. Keywords: Decision aids, Adaptive systems, Man machine interaction, Cognitive psychology, Cognitive styles, Multi-attribute utility theory, Decision analysis, Database systems.

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Document Details

Document Type
Technical Report
Publication Date
Nov 23, 1987
Accession Number
ADA188726

Entities

People

  • Kathryn B. Laskey
  • Martin A. Tolcott
  • Marvin S. Cohen

Tags

Communities of Interest

  • C4I
  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Attack Submarines
  • Behavioral Sciences
  • Cognition
  • Computers
  • Databases
  • Decision Theory
  • Human Behavior
  • Information Processing
  • Judgment
  • Pattern Recognition
  • Personnel Selection
  • Psychology
  • Reasoning
  • Standards
  • Submarine Approach
  • Submarines
  • Thinking

Readers

  • Database Systems and Applications
  • Instructional Design and Training Evaluation.
  • Systems Analysis and Design