Individual difference on reading ability tested by eye-tracking: from perspective of gender

This paper aims to investigate the individual difference on digital reading, by examining the eye-tracking records of male and female readers with different reading ability (including their pupil size, blink rate, fixation rate, fixation duration, saccade rate, saccade duration, saccade amplitude and regression rate).,A total of 74 participants were selected according to 6,520 undergraduate students’ university entrance exam scores and the follow-up reading assessments. Half of them are men and half are women, with the top 3% good readers and the bottom 3% poor readers, from different disciplines.,Results indicated that the major gender differences on reading abilities were indicated by saccade duration, regression rate and blink rate. The major effects on reading ability have a larger effect size than the major effect on gender. Among all the indicators that have been examined, blink rate and regression rates are the most sensitive to the gender attribute, while the fixation rate and saccade amplitude showed the least sensitiveness.,This finding could be helpful for user modeling with eye-tracking data in intelligent tutoring systems, where necessary adjustments might be needed according to users’ individual differences. In this way, instructors could be able to provide purposeful guidance according to what the learners had seen and personalized the experience of digital reading.

[1]  Aek Phakiti.  A closer look at the relationship of cognitive and metacognitive strategy use to EFL reading achievement test performance , 2003 .

[2]  W S Murray,et al.  Spatial Coding in the Processing of Anaphor by Good and Poor Readers: Evidence from Eye Movement Analyses , 1988, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[3]  C. Ho,et al.  Cognitive profiling and preliminary subtyping in Chinese developmental dyslexia , 2004, Cognition.

[4]  Sandy C. Li,et al.  A delineation of the cognitive processes manifested in a social annotation environment , 2015, J. Comput. Assist. Learn..

[5]  K. Hau,et al.  Text comprehension in Chinese children: Relative contribution of verbal working memory, pseudoword reading, rapid automatized naming, and onset-rime phonological segmentation. , 2008 .

[6]  Alexander Pollatsek,et al.  Eye movement control in reading: The role of word boundaries. , 1982 .

[7]  Thomas Berger,et al.  Using eye-tracking to for analyzing case study materials , 2019, The International Journal of Management Education.

[8]  Jose Antonio Diego-Mas,et al.  User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms. , 2019, Applied ergonomics.

[9]  H. Berkant,et al.  An Investigation of Students' Meaningful Causal Thinking Abilities in Terms of Academic Achievement, Reading Comprehension and Gender. , 2009 .

[10]  Joseph M. Andreano,et al.  Sex influences on the neurobiology of learning and memory. , 2009, Learning & memory.

[11]  N. Charness,et al.  Visual Span in Expert Chess Players: Evidence From Eye Movements , 2001, Psychological science.

[12]  Lei Zhang,et al.  Online Learners’ Reading Ability Detection Based on Eye-Tracking Sensors , 2016, Sensors.

[13]  H Maeda,et al.  Gender differences and reproducibility in exploratory eye movements of normal subjects , 2000, Psychiatry and clinical neurosciences.

[14]  Robert Montés-Micó,et al.  Dynamic changes in the tear film in dry eyes. , 2005, Investigative ophthalmology & visual science.

[15]  P Troiano,et al.  Eye complaints in the office environment: precorneal tear film integrity influenced by eye blinking efficiency , 2004, Occupational and Environmental Medicine.

[16]  A. Bus,et al.  How pictures in picture storybooks support young children's story comprehension: An eye-tracking experiment. , 2018, Journal of experimental child psychology.

[17]  Jiehang Xie,et al.  An eye-tracking attention based model for abstractive text headline , 2019, Cognitive Systems Research.

[18]  Jennifer E. Arnold,et al.  Women and Men Have Different Discourse Biases for Pronoun Interpretation , 2015 .

[19]  J. Hyde,et al.  The Gender Similarities Hypothesis , 2005 .

[20]  Xuejun Bai,et al.  The effect of word and character frequency on the eye movements of Chinese readers. , 2006, British journal of psychology.

[21]  Jaan Mikk,et al.  SEX DIFFERENCES IN READING ACHIEVEMENT , 2009 .

[22]  Joseph H. Goldberg,et al.  Computer interface evaluation using eye movements: methods and constructs , 1999 .

[23]  K. Rayner.  Eye movements in reading and information processing. , 1978, Psychological bulletin.

[24]  Iztok Devetak,et al.  The Influence of 16‐year‐old Students’ Gender, Mental Abilities, and Motivation on their Reading and Drawing Submicrorepresentations Achievements , 2010 .

[25]  C F Nodine,et al.  Processing distinctive features in the differentiation of letterlike symbols. , 1974, Journal of experimental psychology.

[26]  T. Jung,et al.  Combined eye activity measures accurately estimate changes in sustained visual task performance , 2000, Biological Psychology.

[27]  J. C. Miller,et al.  Electrooculographic and performance indices of fatigue during simulated flight , 1996, Biological Psychology.

[28]  Keith Rayner,et al.  The Role of Eye Movements in Learning to Read and Reading Disability , 1985 .

[29]  Samuel M. McClure,et al.  The Wick in the Candle of Learning , 2009, Psychological science.

[30]  Mark S. Grubb.  Predictors of High School Student Success in Online Courses , 2011 .

[31]  Sathena Hiu Chong Chan,et al.  Using eye-tracking research to investigate language test validity and design , 2019, System.

[32]  M. Just,et al.  The intensity dimension of thought: pupillometric indices of sentence processing. , 1993, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[33]  D. Schroeder,et al.  Blink Rate: A Possible Measure of Fatigue , 1994, Human factors.

[34]  P. Chapman,et al.  Visual Search of Driving Situations: Danger and Experience , 1998, Perception.

[35]  R. Baddeley,et al.  The long and the short of it: Spatial statistics at fixation vary with saccade amplitude and task , 2006, Vision Research.

[36]  Ana I. Molina,et al.  Evaluating multimedia learning materials in primary education using eye tracking , 2018, Comput. Stand. Interfaces.

[37]  Tobias Grossmann,et al.  Desire understanding in 2-year-old children: An eye-tracking study. , 2018, Infant behavior & development.

[38]  Janette Pelletier,et al.  Gender and Language Issues in Assessing Early Literacy , 2008 .

[39]  Scott Makeig,et al.  Eye Activity Correlates of Workload during a Visuospatial Memory Task , 2001, Hum. Factors.

[40]  R. Oxford,et al.  Variables Affecting Choice of Language Learning Strategies by University Students. , 1989 .

[41]  R. Oxford,et al.  A GENDER-RELATED ANALYSIS OF STRATEGIES USED TO PROCESS INPUT IN THE NATIVE LANGUAGE AND A FOREIGN LANGUAGE , 1997 .

[42]  F. Paas,et al.  Cognitive load theory and aging: effects of worked examples on training efficiency , 2002 .

[43]  Mohammad Reza Daliri,et al.  Gender-based eye movement differences in passive indoor picture viewing: An eye-tracking study , 2019, Physiology & Behavior.

[44]  K. Rayner.  Eye movements in reading and information processing: 20 years of research. , 1998, Psychological bulletin.

[45]  Sebastien Miellet,et al.  The effects of frequency and predictability on eye fixations in reading: An evaluation of the E-Z Reader model , 2003, Behavioral and Brain Sciences.

[46]  Hans Stadthagen-Gonzalez,et al.  Age-of-acquisition effects in visual word recognition: evidence from expert vocabularies , 2004, Cognition.

[47]  Yaacov Petscher,et al.  Unpacking eye movements during oral and silent reading and their relations to reading proficiency in beginning readers , 2019, Contemporary Educational Psychology.

[48]  W. Mencl,et al.  Cortical regions supporting reading comprehension skill for single words and discourse , 2018, Brain and Language.