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2017 Fiscal Year Annual Research Report

Document reading analysis - towards smart documents

Research Project

Project/Area Number 16K16089
Research InstitutionOsaka Prefecture University

Principal Investigator

オジュロ オリビエ  大阪府立大学, 工学(系)研究科(研究院), 研究員 (10772436)

Project Period (FY) 2016-04-01 – 2018-03-31
Keywordseye tracking / reading analysis / reading understanding / smart document
Outline of Annual Research Achievements

During this research project I used multiple sensors such as eye trackers (Tobii, SMI, pupil, JINS MEME) and physiological sensors (E4 wristband) to analyze information about the user while reading a document: his comprehension, confusion, concentration and emotion.

At the same time the user is reading a document I also perform an analysis of the document.

The information about the document and the user behavior are then combined to proceed a "mutual analysis". Thanks to this analysis we can predict which word is difficult to read for a non native speaker to help him to learn new words; or if a user answer a multiple choice with confidence or without confidence in order to recommend him to review the corresponding part of a lecture.

  • Research Products

    (5 results)

All 2018 2017

All Journal Article (5 results) (of which Int'l Joint Research: 5 results,  Peer Reviewed: 5 results)

  • [Journal Article] Assessing Cognitive Workload on Printed and Electronic Media Using Eye-Tracker and EDA Wristband2018

    • Author(s)
      Brishtel, Iuliia and Ishimaru, Shoya and Augereau, Olivier and Kise, Koichi and Dengel, Andreas
    • Journal Title

      Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion

      Volume: 1 Pages: 45:1--45:2

    • DOI

      10.1145/3180308.3180354

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Wordometer Systems for Everyday Life2017

    • Author(s)
      Augereau, Olivier and Sanches, Charles Lima and Kise, Koichi and Kunze, Kai
    • Journal Title

      Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

      Volume: 1 Pages: 123:1--123:21

    • DOI

      10.1145/3161601

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Identification of Reader Specific Difficult Words by Analyzing Eye Gaze and Document Content2017

    • Author(s)
      Garain, Utpal and Pandit, Onkar and Augereau, Olivier and Okoso, Ayano and Kise, Koichi
    • Journal Title

      Document Analysis and Recognition (ICDAR), 2017 14th IAPR International Conference on

      Volume: 1 Pages: 1346--1351

    • DOI

      10.1109/ICDAR.2017.221

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Using the eye gaze to predict document reading subjective understanding2017

    • Author(s)
      Sanches, Charles Lima and Augereau, Olivier and Kise, Koichi
    • Journal Title

      Document Analysis and Recognition (ICDAR), 2017 14th IAPR International Conference on

      Volume: 8 Pages: 28--31

    • DOI

      10.1109/ICDAR.2017.377

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Estimation of Confidence Based on Eye Gaze: An Application to Multiple-choice Questions2017

    • Author(s)
      Yamada, Kento and Kise, Koichi and Augereau, Olivier
    • Journal Title

      Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

      Volume: 1 Pages: 217--220

    • DOI

      10.1145/3123024.3123138

    • Peer Reviewed / Int'l Joint Research

URL: 

Published: 2018-12-17  

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