research-article

Generating and using gaze-based document annotations

Authors:

Georg Buscher,

Andreas Dengel,

Ludger van Elst,

Florian MittagAuthors Info & Claims

CHI EA '08: CHI '08 Extended Abstracts on Human Factors in Computing Systems

Pages 3045 - 3050

https://doi.org/10.1145/1358628.1358805

Published: 05 April 2008 Publication History

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Abstract

In this paper we describe a prototypical system that is able to generate document annotations based on eye movement data. Document parts can be annotated as being read or skimmed. We further explain ideas how such gaze-based document annotations could enhance document-centered office work in the future.

References

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Buscher, G., Dengel, A., van Elst, L. Eye Movements as Implicit Relevance Feedback. CHI '08 extended abstracts (accepted for publication), 2008.

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Cited By

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Valdunciel PBhatti OBarz MSonntag DElsweiler DKruschwitz ULudwig B(2022)Interactive Assessment Tool for Gaze-based Machine Learning Models in Information RetrievalProceedings of the 2022 Conference on Human Information Interaction and Retrieval10.1145/3498366.3505834(332-336)Online publication date: 14-Mar-2022
https://dl.acm.org/doi/10.1145/3498366.3505834
Khan ANewn JKelly RSrivastava NBailey JVelloso E(2021)GAVINACM Transactions on Computer-Human Interaction10.1145/345398828:4(1-32)Online publication date: 11-Aug-2021
https://dl.acm.org/doi/10.1145/3453988
Cheng SHu YFan JWei Q(2020)Reading comprehension based on visualization of eye tracking and EEG dataScience China Information Sciences10.1007/s11432-019-1466-763:11Online publication date: 10-Oct-2020
https://doi.org/10.1007/s11432-019-1466-7
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Index Terms

Generating and using gaze-based document annotations
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

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Published In

CHI EA '08: CHI '08 Extended Abstracts on Human Factors in Computing Systems

April 2008

2035 pages

ISBN:9781605580128

DOI:10.1145/1358628

General Chairs:
Mary Czerwinski
Microsoft Research, USA
,
Arnie Lund
Microsoft, USA
,
Program Chair:
Desney Tan
Microsoft Research, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 05 April 2008

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CHI '08: CHI Conference on Human Factors in Computing Systems

April 5 - 10, 2008

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Valdunciel PBhatti OBarz MSonntag DElsweiler DKruschwitz ULudwig B(2022)Interactive Assessment Tool for Gaze-based Machine Learning Models in Information RetrievalProceedings of the 2022 Conference on Human Information Interaction and Retrieval10.1145/3498366.3505834(332-336)Online publication date: 14-Mar-2022
https://dl.acm.org/doi/10.1145/3498366.3505834
Khan ANewn JKelly RSrivastava NBailey JVelloso E(2021)GAVINACM Transactions on Computer-Human Interaction10.1145/345398828:4(1-32)Online publication date: 11-Aug-2021
https://dl.acm.org/doi/10.1145/3453988
Cheng SHu YFan JWei Q(2020)Reading comprehension based on visualization of eye tracking and EEG dataScience China Information Sciences10.1007/s11432-019-1466-763:11Online publication date: 10-Oct-2020
https://doi.org/10.1007/s11432-019-1466-7
Kunze KMasai KInami MSacakli ÖLiwicki MDengel AIshimaru SKise KMase KLangheinrich MGatica-Perez DGellersen HChoudhury TYatani K(2015)Quantifying reading habitsProceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2750858.2804278(87-96)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2750858.2804278
Cheng SSun ZSun LYee KDey ABegole BKim JInkpen KWoo W(2015)Gaze-Based Annotations for Reading ComprehensionProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems10.1145/2702123.2702271(1569-1572)Online publication date: 18-Apr-2015
https://dl.acm.org/doi/10.1145/2702123.2702271
Okoso AKunze KKise KBrush AFriday AKientz JScott JSong J(2014)Implicit gaze based annotations to support second language learningProceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication10.1145/2638728.2638783(143-146)Online publication date: 13-Sep-2014
https://dl.acm.org/doi/10.1145/2638728.2638783
Clark MRuthven IHolt PSong DWatt S(2014)You have e-mail, what happens next? Tracking the eyes for genreInformation Processing and Management: an International Journal10.1016/j.ipm.2013.08.00550:1(175-198)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.1016/j.ipm.2013.08.005
Kong WAktolga EAllan JHe QIyengar ANejdl WPei JRastogi R(2013)Improving passage ranking with user behavior informationProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505719(1999-2008)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.1145/2505515.2505719
Biedert RBuscher GDengel A(2009)The eyeBook – Using Eye Tracking to Enhance the Reading ExperienceInformatik-Spektrum10.1007/s00287-009-0381-233:3(272-281)Online publication date: 30-Sep-2009
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Buscher GDengel A(2008)Attention-Based Document Classifier LearningProceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems10.1109/DAS.2008.36(87-94)Online publication date: 16-Sep-2008
https://dl.acm.org/doi/10.1109/DAS.2008.36

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Gaze-Based Annotations for Reading Comprehension

Query expansion using gaze-based feedback on the subdocument level

Generating summary documents for a variable-quality PDF document collection

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