The effect of prevalence on distractor speeded search termination
Author:
Publisher
Springer Science and Business Media LLC
Subject
Developmental and Educational Psychology,Experimental and Cognitive Psychology
Link
https://link.springer.com/content/pdf/10.3758/s13423-023-02337-8.pdf
Reference19 articles.
1. Becker, M. W., Rodriguez, A., & Pontious, D. (2022). Quitting thresholds in visual search are impacted by target present detection times but not their variability. Attention, Perception & Psychophysics, 84(8), 2461–2471. https://doi.org/10.3758/s13414-022-02591-3
2. Chelazzi, L., Marini, F., Pascucci, D., & Turatto, M. (2019). Getting rid of visual distractors: The why, when, how, and where. Current Opinion in Psychology, 29, 135–147. https://doi.org/10.1016/j.copsyc.2019.02.004
3. Cousineau, D. (2005). Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson’s method. Tutorials in quantitative methods for psychology, 1(1), 42–45.
4. Geyer, T., Müller, H. J., & Krummenacher, J. (2008). Expectancies modulate attentional capture by salient color singletons. Vision Research, 48(11), 1315–1326. https://doi.org/10.1016/j.visres.2008.02.006
5. Goschy, H., Bakos, S., Müller, H. J., & Zehetleitner, M. (2014). Probability cueing of distractor locations: Both intertrial facilitation and statistical learning mediate interference reduction. Frontiers in Psychology, 5. https://www.frontiersin.org/articles/10.3389/fpsyg.2014.01195
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1. Cue relevance drives early quitting in visual search;Cognitive Research: Principles and Implications;2024-08-26
2. Emphasizing responder speed or accuracy modulates but does not abolish the distractor-induced quitting effect in visual search;Cognitive Research: Principles and Implications;2023-10-10
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