scholarly journals Publisher’s Note: “Tailoring a psychophysical discrimination experiment upon assessment of the psychometric function: Predictions and results” [AIP Advances 5, 027121 (2015)]

AIP Advances ◽  
2015 ◽  
Vol 5 (3) ◽  
pp. 039901
Author(s):  
Andrea Vilardi ◽  
Davide Tabarelli ◽  
Leonardo Ricci
Keyword(s):  
Psychometric Function ◽  
Discrimination Experiment

The psychometric function of infants detecting broadband noise

1998 ◽  
Vol 21 ◽  
pp. 755
Author(s):  
Lynne A. Werner ◽  
Julianne M. Siebens
Keyword(s):  
Psychometric Function ◽  
Broadband Noise

scholarly journals On Taiwanese pupils’ ability to differentiate between English /l/ and /r/: A study of L1/L2 cross-language effects

2017 ◽  
Vol 37 (5) ◽  
pp. 500-517 ◽  
Author(s):  
Evelyn Eika ◽  
Yining Hsieh
Keyword(s):  
East Asia ◽  
South East Asia ◽  
Discrimination Experiment ◽  
Language Effects ◽  
Cross Language ◽  
Better Than

Students in South East Asia often struggle with English /l/ and /r/. This study therefore set out to examine how Taiwanese pupils’ perception of these sounds is influenced by cross-language effects. Most Taiwanese students have Mandarin as L1 and Taiwanese as L2 or vice versa, and English as L3. A same–different discrimination experiment was conducted to measure pupils’ ability to discriminate between phonetically close English /r/ and /l/ and Mandarin /ʐ / and /l/. The results show that L1-Mandarin pupils discriminate both the English consonant contrast and the Mandarin consonant contrast better than L1-Taiwanese pupils. Discrimination difficulty may be higher if two members of a contrast are perceived as belonging to a single L1 category.

The Psychometric Function: Continuation

2012 ◽  
pp. 141-166
Author(s):  
Kenneth Knoblauch ◽  
Laurence T. Maloney
Keyword(s):  
Psychometric Function

The Psychometric Function: Introduction

2012 ◽  
pp. 107-139
Author(s):  
Kenneth Knoblauch ◽  
Laurence T. Maloney
Keyword(s):  
Psychometric Function

scholarly journals Model-free estimation of the psychometric function

2010 ◽  
Vol 9 (8) ◽  
pp. 30-30 ◽  
Author(s):  
D. H. Foster ◽  
K. Zychaluk
Keyword(s):  
Psychometric Function ◽  
Model Free

scholarly journals Efficient estimation of stereo thresholds: what slope should be assumed for the psychometric function?

2019 ◽  
Author(s):  
Ignacio Serrano-Pedraza ◽  
Kathleen Vancleef ◽  
William Herbert ◽  
Nicola Goodship ◽  
Maeve Woodhouse ◽  
...  
Keyword(s):  
Psychometric Function ◽  
Population Distribution ◽  
Real Data ◽  
Logistic Function ◽  
Efficient Estimation ◽  
Threshold Estimate ◽  
Bayesian Procedure ◽  
Detection Thresholds ◽  
Bayesian Procedures ◽  
Wide Range

Bayesian staircases are widely used in psychophysics to estimate detection thresholds. Simulations have revealed the importance of the parameters selected for the assumed subject’s psychometric function in enabling thresholds to be estimated with small bias and high precision. One important parameter is the slope of the psychometric function, or equivalently its spread. This is often held fixed, rather than estimated for individual subjects, because much larger numbers of trials are required to estimate the spread as well as the threshold. However, if this fixed value is wrong, the threshold estimate can be biased. Here we determine the optimal slope to minimize bias and maximize precision when measuring stereoacuity with Bayesian staircases. We performed 2- and 4AFC disparity detection stereo experiments in order to measure the spread of the disparity psychometric function in human observers assuming a Logistic function. We found a wide range, between 0.03 and 3.5 log10 arcsec, with little change with age. We then ran simulations to examine the optimal spread using the real data. From our simulations and for three different experiments, we recommend selecting assumed spread values between the percentiles 60-80% of the population distribution of spreads (these percentiles can be extended to other type of thresholds). For stereo thresholds, we recommend a spread σ=1.7 log10 arcsec for 2AFC (slope 𝛽 = 4.3/log10 arcsec), and σ=1.5 log10 arcsec for 4AFC (𝛽 = 4.9/log10 arcsec). Finally, we compared a Bayesian procedure (ZEST using the optimal σ) with five Bayesian procedures that are versions of ZEST-2D, Psi, and Psi-marginal. In general, our recommended procedure showed the lowest threshold bias and highest precision.

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