Operator specific modeling of identification judgments in a complex dynamic task

Paul Gay, Donita A. Phipps, Ann M. Bisantz, Neff Walker, Alex Kirlik, Arthur D. Fisk

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, we consider the problem of training operators to make identification judgments from multidimensional, possibly probabilistic, information sources. We used models of the environment and the operator to measure the causes of lack of fit of the operator to the environment. Linear regression was used to model the relationship between cues and identifications. Cues in the environment were regressed on the correct identification to obtain the environmental model. These same cues were regressed on the operators' identity judgments to obtain the operator models. Individual environmental models were necessary in order to properly represent the environment when operator decisions and timing shaped the environment dynamically. High agreement between environmental and operator models were linked to top performance on the task. Implications for training are discussed.

Original languageEnglish (US)
Pages (from-to)225-229
Number of pages5
JournalProceedings of the Human Factors and Ergonomics Society
Volume1
StatePublished - Dec 1 1997
Externally publishedYes

ASJC Scopus subject areas

  • Human Factors and Ergonomics

Fingerprint Dive into the research topics of 'Operator specific modeling of identification judgments in a complex dynamic task'. Together they form a unique fingerprint.

Cite this