Abstract
AbstractHow can we explain the regularities in subjective reports of human observers about their subjective visual experience of a stimulus? The present study tests whether a recent model of confidence in perceptual decisions, the weighted evidence and visibility model, can be generalized from confidence to subjective visibility. In a postmasked orientation identification task, observers reported the subjective visibility of the stimulus after each single identification response. Cognitive modelling revealed that the weighted evidence and visibility model provided a superior fit to the data compared with the standard signal detection model, the signal detection model with unsystematic noise superimposed on ratings, the postdecisional accumulation model, the two-channel model, the response-congruent evidence model, the two-dimensional Bayesian model, and the constant noise and decay model. A comparison between subjective visibility and decisional confidence revealed that visibility relied more on the strength of sensory evidence about features of the stimulus irrelevant to the identification judgment and less on evidence for the identification judgment. It is argued that at least two types of evidence are required to account for subjective visibility, one related to the identification judgment, and one related to the strength of stimulation.
Funder
Katholische Universität Eichstätt-Ingolstadt
Publisher
Springer Science and Business Media LLC
Subject
Linguistics and Language,Sensory Systems,Language and Linguistics,Experimental and Cognitive Psychology
Reference84 articles.
1. Adler, W. T., & Ma, W. J. (2018). Limitations of proposed signatures of Bayesian confidence. Neural Computation, 30(12), 3327–3354. https://doi.org/10.1162/neco_a_01141
2. Aitchison, L., Bang, D., Bahrami, B., & Latham, P. E. (2015). Doubly Bayesian analysis of confidence in perceptual decision-making. PLOS Computational Biology, 11(10), Article e1004519. https://doi.org/10.1371/journal.pcbi.1004519
3. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, AC. 19(6), 716–723. https://doi.org/10.1007/978-1-4612-1694-0_16
4. Anzulewicz, A., Asanowicz, D., Windey, B., Paulewicz, B., Wierzchoń, M., & Cleeremans, A. (2015). Does level of processing affect the transition from unconscious to conscious perception? Consciousness and Cognition, 36, 1–11. https://doi.org/10.1016/j.concog.2015.05.004
5. Burnham, K. P., & Anderson, D. R. (2002). Model selection and multimodel inference: A practical information-theoretic approach (2nd ed.). Springer.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献