Interval bias in 2AFC detection tasks: sorting out the artifacts

MA García-Pérez, R Alcalá-Quintana - Attention, Perception, & …, 2011 - Springer
Attention, Perception, & Psychophysics, 2011Springer
Proportion correct in two-alternative forced choice (2AFC) detection tasks often varies when
the stimulus is presented in the first or in the second interval. Reanalysis of published data
reveals that these order effects (or interval bias) are strong and prevalent, refuting the
standard difference model of signal detection theory. Order effects are commonly regarded
as evidence that observers use an off-center criterion under the difference model with bias.
We consider an alternative difference model with indecision whereby observers are …
Abstract
Proportion correct in two-alternative forced choice (2AFC) detection tasks often varies when the stimulus is presented in the first or in the second interval. Reanalysis of published data reveals that these order effects (or interval bias) are strong and prevalent, refuting the standard difference model of signal detection theory. Order effects are commonly regarded as evidence that observers use an off-center criterion under the difference model with bias. We consider an alternative difference model with indecision whereby observers are occasionally undecided and guess with some bias toward one of the response options. Whether or not the data show order effects, the two models fit 2AFC data indistinguishably, but they yield meaningfully different estimates of sensory parameters. Under indeterminacy as to which model governs 2AFC performance, parameter estimates are suspect and potentially misleading. The indeterminacy can be circumvented by modifying the response format so that observers can express indecision when needed. Reanalysis of published data collected in this way lends support to the indecision model. We illustrate alternative approaches to fitting psychometric functions under the indecision model and discuss designs for 2AFC experiments that improve the accuracy of parameter estimates, whether or not order effects are apparent in the data.
Springer
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