D.A. Wiegmann

This experiment examined users tendencies to either agree or disagree with automated diagnostic aids under conditions in which (1) the aids were less than perfectly reliable but aided-diagnosis was still more accurate that unaided diagnosis, and (2) the system was completely opaque, affording users no additional information upon which to base a diagnosis. The results revealed that some users adopted a strategy of always agreeing with the aids, thereby maximizing the number of correct diagnoses made over several trials. Other users, however, adopted a probability matching strategy in which agreement and disagreement rates matched the rate of correct and incorrect diagnoses of the aids. The probability-matching strategy, therefore, resulted in diagnostic accuracy scores that were lower than was maximally possible. These findings underscore the need for both interface and training solutions that facilitate the adoption of the most effective concurrence strategies by users of automated diagnostic aids.

8th Conference on Cognitive Science, Neubiberg, 2001

Book Chapter

englisch

A5, 9 Seiten

DGLR-Bericht, 2001, 2001-04, CSAPC 01 - 8th Conference on Cognitive Science - Approaches to Process Control "The Cognitive Work Process: Automation and Interaction"; S.15-23; 2001; Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn

NA

process control

Bestellbar

2001