Smart reading aid for detecting problems with reading fluency and comprehension

Zoltan Rusak, Niels van de Water, Imre Horvath, Bram de Smit, Wilfred van der Vegte

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Brain signal and eye tracking technology have been intensively applied in cognitive science in order to study reading, listening and learning processes. Though promising results have been found in laboratory experiments, there are no smart reading aids that are capable to estimate difficulty during normal reading. This paper presents a new concept that aims to tackle this challenge. Based on a literature study and an experiment, we have identified several indicators for characterizing word processing difficulty by interpreting electroencelography (EEG) and electrooculography (EOG) signals. We have defined a computational model based on fuzzy set theory, which estimates the probability of word processing and comprehension difficulty during normal reading. The paper also presents a concept and functional prototype of a smart reading aid, which is used to demonstrate the feasibility of our solution. The results of our research proves that it is possible to implement a smart reading aid that is capable to detect reading difficulty in real time. We show that the most reliable indicators are related to eye movement (i.e. fixation and regression), while brain signals are less dependable sources for indicating word processing difficulty during continuous reading.

Original languageEnglish
Title of host publicationProceedings of the ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
PublisherASME
Pages1-9
Number of pages9
Volume1B
Edition36th Computers and Information in Engineering Conference
ISBN (Electronic)978-0-7918-5008-4
DOIs
Publication statusPublished - 2016
EventThe ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: IDETC/CIE 2016 - Charlotte, United States
Duration: 21 Aug 201624 Aug 2016

Conference

ConferenceThe ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
CountryUnited States
CityCharlotte
Period21/08/1624/08/16

Keywords

  • Engineering prototypes
  • Brain
  • Electroencephalography
  • Fuzzy set theory
  • Probability
  • Signals

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  • Cite this

    Rusak, Z., van de Water, N., Horvath, I., de Smit, B., & van der Vegte, W. (2016). Smart reading aid for detecting problems with reading fluency and comprehension. In Proceedings of the ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (36th Computers and Information in Engineering Conference ed., Vol. 1B, pp. 1-9). [DETC2016-59130] ASME. https://doi.org/10.1115/DETC2016-59130