Evaluation of Complex Stimuli Using Multi-Attribute Utility Procedures

Abstract

Three procedures for constructing additive multi-attribute utility theory, (MAUT) models were tested for their differential validity: a probabilistic procedure, a simple direct rating procedure, and a modified direct rating procedure. Validation criteria were ratings and simple choices. Procedures were evaluated after an intensive training session in which subjects learned to adopt an evaluation strategy with which they felt most comfortable and which best reflected their preferences. The results of a correlational analysis indicated that MAUT can improve upon the decision maker's own unaided intuition. The probabilistic procedure was found to be the superior method for predicting simple choices between stimuli.

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Document Details

Document Type
Technical Report
Publication Date
Oct 29, 1973
Accession Number
AD0770188

Entities

People

  • Detlof V. Winterfeldt
  • Ward Edwards

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Behavioral Sciences
  • Decomposition
  • Engineering
  • Human Factors Engineering
  • Industrial Engineering
  • Information Processing
  • Information Systems
  • Judgment
  • Materials
  • Michigan
  • Military Research
  • New York
  • Psychology
  • Students
  • Test And Evaluation
  • Training

Fields of Study

  • Psychology

Readers

  • Regression Analysis.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.