The components of latency of response in two models for auditory detection with deadlines

Pike R. and Dalgleish L. (1976) The components of latency of response in two models for auditory detection with deadlines. Perception & Psychophysics, 19 3: 231-239. doi:10.3758/BF03204175


Author Pike R.
Dalgleish L.
Title The components of latency of response in two models for auditory detection with deadlines
Journal name Perception & Psychophysics   Check publisher's open access policy
ISSN 0031-5117
Publication date 1976-01-01
Sub-type Article (original research)
DOI 10.3758/BF03204175
Volume 19
Issue 3
Start page 231
End page 239
Total pages 9
Subject 3205 Experimental and Cognitive Psychology
2809 Sensory Systems
3200 Psychology
Abstract Two models are described for the case of auditory detection with response time deadlines. These are the "timing" model, modified from Luce and Green (1972), and the "interval of uncertainty" (IU) model, modified from the "counting" model of McGill (1967). The two models are expressed in the form of additive component latencies, including a component which varies inversely with probability of response and a component for a longer response on the "nondeadline" response condition. An experiment is described, incorporating deadlines on both s and n trials separately, and the additive component latencies of the models are calculated. The "interval of uncertainty" model is seen to represent the data better than the "timing" model, even though different versions of the latter model are considered. Parameters are then fitted to give a representation of the IU model. The data from one subject of another study not employing deadlines can also be fitted to the model, and an interesting problem then arises concerning the exact locus of the speed-accuracy tradeoff. It is concluded that the IU model needs extending if it is to describe the data without the use of a component of latency which varies inversely with response probability.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import
 
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