Accession Number:

ADA224133

Title:

Status or Recommendation: Selecting the Type of Information for Decision Aiding

Descriptive Note:

Master's thesis

Corporate Author:

MASSACHUSETTS UNIV AMHERST DEPT OF INDUSTRIAL ENGINEERING AND OPERATIONS RESEARCH

Personal Author(s):

Report Date:

1990-05-01

Pagination or Media Count:

104.0

Abstract:

There are a number of areas in the literature related to the effect of the type of information presented to a user by a decision support system on the total system performance. In this section those findings and how they relate to this research will be discussed. Those areas are human-computer interaction in complex dynamic systems decision support technology, with emphasis on the human interaction with the system and the cognitive psychology research on semantic priming. There is an increasing trend towards a substantial use of automation in the control of complex, dynamic systems. The result is larger, more complex systems with centralized control. This increasing complexity of technological systems and increased use of automation has shifted the demands on human performance from a mechanicalphysical level to a cognitive level.

Subject Categories:

  • Psychology
  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE