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Stimulus–response compatibility

Known as: Stimulus-response compatibility 
Stimulus–response (S–R) compatibility is the degree to which a person's perception of the world is compatible with the required action. S–R… 
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Related topics

Related topics

4 relations

Broader (2)

Cognitive scienceHuman–computer interaction
Hick's lawSoftware engineering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
P037 Transcranial static magnetic field stimulation-induced modulation of motor cortex excitability in Parkinson’s disease
Review
2017
Review
2017
T019 models of neuronal response to suprathreshold electric fields
2015
2015
On the dimensionality of olfactory space
We recently presented an estimate of the number of mutually discriminable olfactory stimuli at one trillion (1). Subjects were… 
2014
2014
Optimization of the Anticipatory Reflexes of a Computational Model of the Cerebellum
The cerebellum is involved in avoidance learning tasks, where anticipatory actions are developed to protect against aversive… 
2013
2013
Speed generalization capabilities of a cerebellar model on a rapid navigation task
The cerebellum is a brain structure necessary for skilled motor behaviour and has a well understood and repetitive architecture… 
2009
2009
Sources of Stimulus-Response Compatibility: Frames, Rules, and Response Tendencies
While a taxonomic approach to maximizing stimulus-response (S-R) compatibility is frequently applied to improve system design, it… 
2003
2003
A reinforcement learning approach involving a shortest path finding algorithm
Reinforcement learning (RL) has been widely used as a learning mechanism of an artificial life system. However, RL usually… 
1997
1997
Dynamical explorations of compatibility in perception-action coupling
1985
1985
A theory of stimulus-response compatibility applied to human-computer interaction
A GOMS theory of stimulus-response compatibility is presented and applied to remembering computer command abbreviations. Two… 
Highly Cited
1983
Highly Cited
1983
12 Chronometric Analysis of Human Information Processing
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