Article

The neurally controllable internet browser (BrainBrowser)

Authors:

Opé Tomori,

Melody MooreAuthors Info & Claims

CHI EA '03: CHI '03 Extended Abstracts on Human Factors in Computing Systems

Pages 796 - 797

https://doi.org/10.1145/765891.765997

Published: 05 April 2003 Publication History

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Abstract

The Internet has become an important part of our daily lives, with browsers serving as the main tool of navigation. For users with severe disabilities, access to the Internet can be crucial to quality of life, providing a myriad of services and opportunities. The GSU BrainLab is researching methods of controlling computer interfaces directly with brain signals, to assist users who are completely paralyzed and have no other means of interaction. Adapting a web browser for neural control provides us a unique opportunity to study navigation issues for assistive technology. The Neural Internet BrainBrowser project is currently exploring new human computer interaction paradigms, web usability concepts, and interface serialization techniques.

References

[1]

Wolpaw et al., "Brain-computer interfaces for communication and control", Clinical Neurophysiology 113; 767--291, 2002.

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[2]

Kennedy, Bakay, Moore, Adams, and Goldthwaite, "Direct Control of a Computer from the Human Central Nervous System", IEEE Transactions on Rehabilitation Engineering, Vol. 8, No. 2, June 2000.

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[3]

Moore, Kennedy, Mynatt, Mankoff. "Nudge and Shove: Frequency Thresholding for Navigation in Direct Brain Interfaces", in proceedings of SIGCHI 01, 2001.

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[4]

Gergle, D., Brinck, T., and Wood, S. Usability for the web. (192-195) Morgan Kaufmann Publishers 2002.

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Cited By

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Camilleri APorter CCamilleri T(2022)Boggle: An SSVEP-Based BCI Web BrowserComputer-Human Interaction Research and Applications10.1007/978-3-031-22015-9_6(100-123)Online publication date: 13-Dec-2022
https://doi.org/10.1007/978-3-031-22015-9_6
Kosmyna NSoetaert NScheirer C(2021)A Pilot Study of Using Brain-Computer Interfaces in Classrooms for Promoting Formal Educational ActivitiesProceedings of the Future Technologies Conference (FTC) 2021, Volume 310.1007/978-3-030-89912-7_46(590-609)Online publication date: 25-Oct-2021
https://doi.org/10.1007/978-3-030-89912-7_46
Chen LWang ZHe FYang JQi HZhou PWan BMing D(2015)An online hybrid brain-computer interface combining multiple physiological signals for webpage browse2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC.2015.7318570(1152-1155)Online publication date: Aug-2015
https://doi.org/10.1109/EMBC.2015.7318570
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The neurally controllable internet browser (BrainBrowser)
1. Software and its engineering

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Published In

CHI EA '03: CHI '03 Extended Abstracts on Human Factors in Computing Systems

April 2003

471 pages

ISBN:1581136374

DOI:10.1145/765891

Conference Chairs:
Gilbert Cockton
University of Sunderland, UK
,
Panu Korhonen
Nokia Research Center, Finland

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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Association for Computing Machinery

New York, NY, United States

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Published: 05 April 2003

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CHI03: Human Factors in Computing Systems

April 5 - 10, 2003

Florida, Ft. Lauderdale, USA

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Camilleri APorter CCamilleri T(2022)Boggle: An SSVEP-Based BCI Web BrowserComputer-Human Interaction Research and Applications10.1007/978-3-031-22015-9_6(100-123)Online publication date: 13-Dec-2022
https://doi.org/10.1007/978-3-031-22015-9_6
Kosmyna NSoetaert NScheirer C(2021)A Pilot Study of Using Brain-Computer Interfaces in Classrooms for Promoting Formal Educational ActivitiesProceedings of the Future Technologies Conference (FTC) 2021, Volume 310.1007/978-3-030-89912-7_46(590-609)Online publication date: 25-Oct-2021
https://doi.org/10.1007/978-3-030-89912-7_46
Chen LWang ZHe FYang JQi HZhou PWan BMing D(2015)An online hybrid brain-computer interface combining multiple physiological signals for webpage browse2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC.2015.7318570(1152-1155)Online publication date: Aug-2015
https://doi.org/10.1109/EMBC.2015.7318570
Mugler ERuf CHalder SBensch MKubler A(2010)Design and Implementation of a P300-Based Brain-Computer Interface for Controlling an Internet BrowserIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2010.206805918:6(599-609)Online publication date: Dec-2010
https://doi.org/10.1109/TNSRE.2010.2068059

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Approaching web accessibility through the browser: automatically applying aria attributes

Cookies and Web browser design: toward realizing informed consent online

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