scholarly journals Without adaptive stimulus sampling, comparison-of-comparison tasks skew perceptual bias estimates

2021 ◽  
Vol 21 (9) ◽  
pp. 1994
Author(s):  
Man-Ling Ho ◽  
D. Samuel Schwarzkopf
2002 ◽  
Author(s):  
John G. Neuhoff ◽  
Kimberly Fukai ◽  
John Preston ◽  
Kate Willaman

2020 ◽  
Vol 39 (3) ◽  
pp. 231-241
Author(s):  
Jin-Won Kang ◽  
Jae-Won Yang

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nadia Paraskevoudi ◽  
Iria SanMiguel

AbstractThe ability to distinguish self-generated stimuli from those caused by external sources is critical for all behaving organisms. Although many studies point to a sensory attenuation of self-generated stimuli, recent evidence suggests that motor actions can result in either attenuated or enhanced perceptual processing depending on the environmental context (i.e., stimulus intensity). The present study employed 2-AFC sound detection and loudness discrimination tasks to test whether sound source (self- or externally-generated) and stimulus intensity (supra- or near-threshold) interactively modulate detection ability and loudness perception. Self-generation did not affect detection and discrimination sensitivity (i.e., detection thresholds and Just Noticeable Difference, respectively). However, in the discrimination task, we observed a significant interaction between self-generation and intensity on perceptual bias (i.e. Point of Subjective Equality). Supra-threshold self-generated sounds were perceived softer than externally-generated ones, while at near-threshold intensities self-generated sounds were perceived louder than externally-generated ones. Our findings provide empirical support to recent theories on how predictions and signal intensity modulate perceptual processing, pointing to interactive effects of intensity and self-generation that seem to be driven by a biased estimate of perceived loudness, rather by changes in detection and discrimination sensitivity.


Emotion ◽  
2012 ◽  
Vol 12 (6) ◽  
pp. 1362-1366 ◽  
Author(s):  
Bruno R. Bocanegra ◽  
Jorg Huijding ◽  
René Zeelenberg

2017 ◽  
Vol 114 (38) ◽  
pp. 10244-10249 ◽  
Author(s):  
Xue-Xin Wei ◽  
Alan A. Stocker

Perception of a stimulus can be characterized by two fundamental psychophysical measures: how well the stimulus can be discriminated from similar ones (discrimination threshold) and how strongly the perceived stimulus value deviates on average from the true stimulus value (perceptual bias). We demonstrate that perceptual bias and discriminability, as functions of the stimulus value, follow a surprisingly simple mathematical relation. The relation, which is derived from a theory combining optimal encoding and decoding, is well supported by a wide range of reported psychophysical data including perceptual changes induced by contextual modulation. The large empirical support indicates that the proposed relation may represent a psychophysical law in human perception. Our results imply that the computational processes of sensory encoding and perceptual decoding are matched and optimized based on identical assumptions about the statistical structure of the sensory environment.


IEEE Software ◽  
2002 ◽  
Vol 19 (3) ◽  
pp. 63-69
Author(s):  
S. Guilford ◽  
G. Rugg ◽  
N. Scott

2016 ◽  
Vol 164 ◽  
pp. 127-135 ◽  
Author(s):  
Louise R. Williams ◽  
Madeleine A. Grealy ◽  
Steve W. Kelly ◽  
Iona Henderson ◽  
Stephen H. Butler

2021 ◽  
Author(s):  
Andrea De Angelis

Voters’ ability to perceive political parties’ positions on policy scales is a precondition for a functioning and responsive electoral democracy. Appropriate measures of policy distance are thus key to addressing the link between political parties and the citizens. This chapter reviews the scholarship on ideal point estimation, identifying the main methodological and substantial implications for empirical studies involving issue scales. Next, the chapter applies two-stage Bayesian Aldrich-McKelvey scaling to European Election Studies data to find evidence of systematic perceptual distortions: right-wing voters perceive political parties as more progressive than they actually are, while knowledgeable voters perceive greater differences between parties. Perceptual bias is also shown to correlate with standard polarization measures based on perceived party positions.


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