DocumentCode :
1630314
Title :
Optimality of decision rules in human audio/visual signal detection
Author :
Balakrishnan, J.D.
Author_Institution :
Dept. of Psychol., Northwestern Univ., Evanston, IL, USA
fYear :
1992
Firstpage :
222
Abstract :
The theory of signal detection in psychology and the theory of optimal signal detection in statistical theory are compared. Differences between the two are often thought to be inconsequential. However, under a close analysis, this turns out not to be true. A basis for empirical tests is some results in distribution theory. These are used to characterize the kind of linear additive model that is most consistent with the data, which suffices to discriminate between several different decision processes. Once this choice is made, the theorist obtains a model that predicts both the detection decision and the feeling of confidence that accompanies it
Keywords :
decision theory; hearing; psychology; signal detection; statistical analysis; visual perception; confidence; decision rules; distribution theory; human audio/visual signal detection; linear additive model; psychology; statistical theory; Biological system modeling; Decision theory; Frequency; Humans; Predictive models; Psychology; Signal detection; Signal sampling; Statistical distributions; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
Type :
conf
DOI :
10.1109/ICSMC.1992.271773
Filename :
271773
Link To Document :
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