Gaze Based Magnification to Assist Visually Impaired Persons

Stephan Pölzer; Elias Gander; Klaus Miesenberger

Gaze Based Magnification to Assist Visually Impaired Persons

Stephan Pölzer
, Elias Gander
, Klaus Miesenberger

Institute Integrated Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Screen magnifiers are one of the core tools to assist people with visual impairments in accessing digital content. We introduce an approach to minimize interaction requirements by magnifying at the fixation point/area which is identified using eye tracking. Screen magnifiers mostly use the cursor to define the magnification area and ask for configuring when and how to magnify. This paper presents a modular design of a gaze based magnification tool reducing interaction tasks and thereby also supporting a good overview of the content and thereby showing potential to improve usability. Modularization supports an easy integration of filtering and personalization techniques to support adjustment of gaze based magnification to unusual eye-movements as e.g. nystagmus.

Original language	English
Title of host publication	Computers Helping People with Special Needs, ICCHP 2018 Proceedings
Editors	K. Miesenberger, G. Kouroupetroglou
Publisher	Springer
Pages	333
Number of pages	5
Volume	LNCS
ISBN (Print)	978-3-319-94273-5
Publication status	Published - 2018

Publication series

Name	Lecture Notes in Computer Science (LNCS)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 1 No Poverty
SDG 4 Quality Education
SDG 16 Peace, Justice and Strong Institutions

Fields of science

102 Computer Sciences
102013 Human-computer interaction
102014 Information design
102015 Information systems
102021 Pervasive computing
102022 Software development
102024 Usability research
102026 Virtual reality
102027 Web engineering
502007 E-commerce
506002 E-government
509002 Disability studies
602013 Sign language research
202004 Brain-computer interface
211902 Assistive technologies
503008 E-learning
302027 Hearing, voice and language disorders

JKU Focus areas

Computation in Informatics and Mathematics
Social Systems, Markets and Welfare States
Engineering and Natural Sciences (in general)

Cite this

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title = "Gaze Based Magnification to Assist Visually Impaired Persons",

abstract = "Screen magnifiers are one of the core tools to assist people with visual impairments in accessing digital content. We introduce an approach to minimize interaction requirements by magnifying at the fixation point/area which is identified using eye tracking. Screen magnifiers mostly use the cursor to define the magnification area and ask for configuring when and how to magnify. This paper presents a modular design of a gaze based magnification tool reducing interaction tasks and thereby also supporting a good overview of the content and thereby showing potential to improve usability. Modularization supports an easy integration of filtering and personalization techniques to support adjustment of gaze based magnification to unusual eye-movements as e.g. nystagmus.",

author = "Stephan P{\"o}lzer and Elias Gander and Klaus Miesenberger",

year = "2018",

language = "English",

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volume = "LNCS",

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booktitle = "Computers Helping People with Special Needs, ICCHP 2018 Proceedings",

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Gaze Based Magnification to Assist Visually Impaired Persons. / Pölzer, Stephan; Gander, Elias; Miesenberger, Klaus.
Computers Helping People with Special Needs, ICCHP 2018 Proceedings. ed. / K. Miesenberger, G. Kouroupetroglou. Vol. LNCS Springer, 2018. p. 333 (Lecture Notes in Computer Science (LNCS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Gaze Based Magnification to Assist Visually Impaired Persons

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AU - Gander, Elias

AU - Miesenberger, Klaus

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AB - Screen magnifiers are one of the core tools to assist people with visual impairments in accessing digital content. We introduce an approach to minimize interaction requirements by magnifying at the fixation point/area which is identified using eye tracking. Screen magnifiers mostly use the cursor to define the magnification area and ask for configuring when and how to magnify. This paper presents a modular design of a gaze based magnification tool reducing interaction tasks and thereby also supporting a good overview of the content and thereby showing potential to improve usability. Modularization supports an easy integration of filtering and personalization techniques to support adjustment of gaze based magnification to unusual eye-movements as e.g. nystagmus.

M3 - Conference proceedings

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T3 - Lecture Notes in Computer Science (LNCS)

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