Assessing reading performance in the periphery with a Bayesian adaptive approach: The qReading method

Reading is a crucial visual activity and a fundamental skill in daily life. Rapid Serial Visual Presentation (RSVP) is a text-presentation paradigm that has been extensively used in the laboratory to study basic characteristics of reading performance. However, measuring reading function (reading speed vs. print size) is time-consuming for RSVP reading using conventional testing procedures. In this study, we develop a novel method, qReading, utilizing the Bayesian adaptive testing framework to measure reading function in the periphery. We perform both a psychophysical experiment and computer simulations to validate the qReading method. In the experiment, words are presented using an RSVP paradigm at 10° in the lower visual field. The reading function obtained from the qReading method with 50 trials exhibits good agreement (i.e., high accuracy) with the reading function obtained from a conventional method (method of constant stimuli [MCS]) with 186 trials (mean root mean square error: 0.12 log10 units). Simulations further confirm that the qReading method provides an unbiased measure. The qReading procedure also demonstrates excellent precision (half width of 68.2% credible interval: 0.02 log10 units with 50 trials) compared to the MCS method (0.03 log10 units with 186 trials). This investigation establishes that the qReading method can adequately measure the reading function in the normal periphery with high accuracy, precision, and efficiency, and is a potentially valuable tool for both research and clinical assessments.

[1]  Jean-Baptiste Bernard,et al.  Page mode reading with simulated scotomas: A modest effect of interline spacing on reading speed , 2007, Vision Research.

[2]  MICHAEL D. CROSSLAND,et al.  Predicting Reading Fluency in Patients with Macular Disease , 2005, Optometry and vision science : official publication of the American Academy of Optometry.

[3]  Sing-Hang Cheung,et al.  The case for the visual span as a sensory bottleneck in reading. , 2007, Journal of vision.

[4]  G. Legge,et al.  Comparing reading speed for horizontal and vertical English text. , 2010, Journal of vision.

[5]  Jay I. Myung,et al.  A hierarchical Bayesian approach to adaptive vision testing: A case study with the contrast sensitivity function , 2016, Journal of vision.

[6]  K L Petre,et al.  Visual function and subjective quality of life compared in subjects with acquired macular disease. , 2000, Investigative ophthalmology & visual science.

[7]  Gary S. Rubin,et al.  The development and evaluation of a reading test for low vision individuals with macular loss , 1987 .

[8]  Ulrike Willinger,et al.  Eine neue Lesetafel* zur gleichzeitigen Bestimmung von Lesevisus und Lesegeschwindigkeit , 1998 .

[9]  Leslie M Collins,et al.  Comparison of adaptive psychometric procedures motivated by the theory of optimal experiments: simulated and experimental results. , 2008, The Journal of the Acoustical Society of America.

[10]  Zhong-Lin Lu,et al.  qPR: An adaptive partial-report procedure based on Bayesian inference , 2016, Journal of vision.

[11]  Gordon E Legge,et al.  Does print size matter for reading? A review of findings from vision science and typography. , 2011, Journal of vision.

[12]  Michael Dorr,et al.  Using 10AFC to further improve the efficiency of the quick CSF method. , 2015, Journal of vision.

[13]  G. Legge,et al.  Nonlinear mixed-effects modeling of MNREAD data. , 2008, Investigative ophthalmology & visual science.

[14]  Denis G. Pelli,et al.  ECVP '07 Abstracts , 2007, Perception.

[15]  Cynthia Owsley,et al.  Characteristics of low-vision rehabilitation services in the United States. , 2009, Archives of ophthalmology.

[16]  Luis A. Lesmes,et al.  Bayesian adaptive estimation of threshold versus contrast external noise functions: The quick TvC method , 2006, Vision Research.

[17]  Gordon E. Legge,et al.  Psychophysics of reading. XVIII. The effect of print size on reading speed in normal peripheral vision , 1998, Vision Research.

[18]  Mark A. Pitt,et al.  A Hierarchical Adaptive Approach to Optimal Experimental Design , 2014, Neural Computation.

[19]  A. Watson,et al.  Quest: A Bayesian adaptive psychometric method , 1983, Perception & psychophysics.

[20]  B. Treutwein Adaptive psychophysical procedures , 1995, Vision Research.

[21]  Peter J. Bex,et al.  Different reading tasks measure different reading behaviors. , 2017 .

[22]  P.EWEN KING-SMITH,et al.  PII: S0042-6989(96)00310-0 , 1997 .

[23]  Snoeren,et al.  Multiple Parameter Estimation in an Adaptive Psychometric Method: MUEST, an Extension of the QUEST Method , 1997, Journal of mathematical psychology.

[24]  Rocío Alcalá-Quintana,et al.  A comparison of fixed-step-size and Bayesian staircases for sensory threshold estimation. , 2007, Spatial vision.

[25]  Gordon E. Legge,et al.  Psychophysics of Reading in Normal and Low Vision , 2006 .

[26]  Gary S Rubin,et al.  Measuring reading performance , 2013, Vision Research.

[27]  Isabel Cacho,et al.  Clinical Impairment Measures and Reading Performance in a Large Age-Related Macular Degeneration Group , 2010, Optometry and vision science : official publication of the American Academy of Optometry.

[28]  A. Watson,et al.  QUEST+: A general multidimensional Bayesian adaptive psychometric method. , 2017, Journal of vision.

[29]  B S Hawkins,et al.  Visual function abnormalities and prognosis in eyes with age-related geographic atrophy of the macula and good visual acuity. , 1997, Ophthalmology.

[30]  D. Altman,et al.  Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.

[31]  Gary S. Rubin,et al.  Low vision reading with sequential word presentation , 1994, Vision Research.

[32]  Michael D Crossland,et al.  Fixation stability and reading speed in patients with newly developed macular disease * , 2004, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[33]  Deyue Yu,et al.  Sensory factors limiting horizontal and vertical visual span for letter recognition. , 2014, Journal of vision.

[34]  Susana T. L. Chung Improving reading speed for people with central vision loss through perceptual learning. , 2011, Investigative ophthalmology & visual science.

[35]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[36]  Sing-Hang Cheung,et al.  Effect of letter spacing on visual span and reading speed. , 2007, Journal of vision.

[37]  A. Reeves,et al.  Simulated cataract does not reduce the benefit of RSVP , 1997, Vision Research.

[38]  J M Bland,et al.  Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .

[39]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

[40]  M. García-Pérez,et al.  Bayesian adaptive estimation of arbitrary points on a psychometric function. , 2007, The British journal of mathematical and statistical psychology.

[41]  Leslie M Collins,et al.  A comparison of adaptive psychometric procedures based on the theory of optimal experiments and Bayesian techniques: Implications for cochlear implant testing , 2007, Perception & psychophysics.

[42]  Gary S. Rubin,et al.  Reading without saccadic eye movements , 1992, Vision Research.

[43]  Donald C. Fletcher,et al.  Random Word Recognition Chart Helps Scotoma Assessment in Low Vision , 2015, Optometry and vision science : official publication of the American Academy of Optometry.

[44]  P E Runge Eduard Jaeger's Test-Types (Schrift-Scalen) and the historical development of vision tests. , 2000, Transactions of the American Ophthalmological Society.

[45]  Gordon E Legge,et al.  Behavioral and Brain Functions , 2008 .

[46]  I L Bailey,et al.  The Design and Use of a New Near‐Vision Chart , 1980, American journal of optometry and physiological optics.

[47]  Martin Rubinstein,et al.  The MacDQoL individualized measure of the impact of macular degeneration on quality of life: reliability and responsiveness. , 2008, American journal of ophthalmology.

[48]  C. Tyler,et al.  Bayesian adaptive estimation of psychometric slope and threshold , 1999, Vision Research.

[49]  Tuomas J. Lukka,et al.  Bayesian adaptive estimation: The next dimension , 2006 .

[50]  J. G. Strong,et al.  Demographic characteristics of the vision-disabled elderly. , 1997, Investigative ophthalmology & visual science.

[51]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[52]  D. Pelli,et al.  Parts, Wholes, and Context in Reading: A Triple Dissociation , 2007, PloS one.

[53]  Zhong-Lin Lu,et al.  Bayesian adaptive assessment of the reading function for vision: The qReading method , 2018, Journal of vision.

[54]  P. King-Smith,et al.  Efficient and unbiased modifications of the QUEST threshold method: Theory, simulations, experimental evaluation and practical implementation , 1994, Vision Research.

[55]  M Velikay-Parel,et al.  [A new reading chart for simultaneous determination of reading vision and reading speed]. , 1998, Klinische Monatsblatter fur Augenheilkunde.

[56]  Louise L. Sloan,et al.  Reading Cards for Selection of Optical Aids for the Partially Sighted , 1963 .

[57]  Deyue Yu,et al.  Sensory and cognitive influences on the training-related improvement of reading speed in peripheral vision. , 2013, Journal of Vision.

[58]  R. Klein,et al.  The relationship of age-related maculopathy, cataract, and glaucoma to visual acuity. , 1995, Investigative ophthalmology & visual science.

[59]  김만두,et al.  시력 손상과 시각 장애(Visual Impairment and Blindness) , 2011 .

[60]  Timothy McMahon,et al.  Eye-movement training for reading in patients with age-related macular degeneration. , 2005, Investigative ophthalmology & visual science.

[61]  S. Whittaker,et al.  Visual Requirements for Reading , 1993, Optometry and vision science : official publication of the American Academy of Optometry.

[62]  Aurélie Calabrèse,et al.  Clustering of Eye Fixations: A New Oculomotor Determinant of Reading Speed in Maculopathy. , 2016, Investigative ophthalmology & visual science.

[63]  Gary S. Rubin,et al.  Expectations and perceived benefits of a hospital-based low vision clinic: Results of an exploratory, qualitative research study , 2007 .

[64]  Michael Stur,et al.  Differences in reading performance of patients with Drusen maculopathy and subretinal fibrosis after CNV , 2006, Graefe's Archive for Clinical and Experimental Ophthalmology.

[65]  Zhong-Lin Lu,et al.  Bayesian adaptive estimation of the contrast sensitivity function: the quick CSF method. , 2010, Journal of vision.

[66]  GORDON E. LEGGE,et al.  Psychophysics of Reading. VIII. The Minnesota Low- Vision Reading Test , 1989, Optometry and vision science : official publication of the American Academy of Optometry.