The Influence of Reliability of Information on Decision Performance
Abstract
Judgement tasks require knowledge of relations between symptoms (cues) and diagnosis. These relations are often probabilistic in nature, and decisions therefore have to be based on more or less unreliable cues. Many so- called Multiple Cue Probability Learning (MCPL) studies have shown that learning such relations is seriously impaired, even by a small degree of uncertainty. On the other hand, there is ample evidence that in natural judgement tasks such as medical diagnosis or market analysis, people are well able to learn from experience. In the present experiment learning under uncertainty is investigated in a relatively natural task that corresponds more closely with typical diagnosis tasks than the MCPL tasks. Subjects were able to learn the underlying model in the probabilistic mode, be it at a lower rate. The delay only concerned the information selection process, not that of information integration. Keywords: Netherlands, Translations, Decision making.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 06, 1989
- Accession Number
- ADA218056
Entities
People
- J. H. Kerstholt