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BCIforReal: An application-Oriented Approach to BCI Out of the Laboratory

Published: 07 March 2017 Publication History

Abstract

In principle, brain-computer interfaces (BCIs) hold the promise for being the ultimate intelligent interfaces ? what could surpass an interface that is able to interpret your thoughts and preferences, in real time, and behave accordingly? In practice, it is still not quite clear if and how BCIs can contribute to or replace existing interaction paradigms. In the last 10- 20 years BCI research focused on providing patients who lost their ability to communicate through the usual channels (speech) with ways of communication that are directly based on brain signals. While a lot of progress has been made, very few patients actually use BCI in their daily life. Moreover, it is not clear whether BCI has any advantage for non-clinical applications and for able-bodied individuals.

References

[1]
Benjamin Blankertz, Laura Acqualagna, Sven Dähne, Stefan Haufe, Matthias Schultze-Kraft, Irene Sturm, Marija U?cumlic, Markus A Wenzel, Gabriel Curio, and Klaus-Robert Müller. 2016. The Berlin Brain-Computer Interface: Progress Beyond Communication and Control. Frontiers in Neuroscience 10 (2016).
[2]
Thorsten O Zander and Christian Kothe. 2011. Towards passive brain?computer interfaces: applying brain?computer interface technology to human?machine systems in general. Journal of neural engineering 8, 2 (2011), 025005.

Cited By

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  • (2022)Understanding HCI Practices and Challenges of Experiment Reporting with Brain Signals: Towards Reproducibility and ReuseACM Transactions on Computer-Human Interaction10.1145/349055429:4(1-43)Online publication date: 31-Mar-2022
  • (2019)The BR4IN.IO HackathonsBrain Art10.1007/978-3-030-14323-7_17(447-473)Online publication date: 26-May-2019

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  1. BCIforReal: An application-Oriented Approach to BCI Out of the Laboratory

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      cover image ACM Conferences
      IUI '17 Companion: Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces
      March 2017
      246 pages
      ISBN:9781450348935
      DOI:10.1145/3030024
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Publication History

      Published: 07 March 2017

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      Author Tags

      1. EEG
      2. FNIRs
      3. brain computer interface

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      IUI '17 Companion Paper Acceptance Rate 63 of 272 submissions, 23%;
      Overall Acceptance Rate 746 of 2,811 submissions, 27%

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      View all
      • (2022)Understanding HCI Practices and Challenges of Experiment Reporting with Brain Signals: Towards Reproducibility and ReuseACM Transactions on Computer-Human Interaction10.1145/349055429:4(1-43)Online publication date: 31-Mar-2022
      • (2019)The BR4IN.IO HackathonsBrain Art10.1007/978-3-030-14323-7_17(447-473)Online publication date: 26-May-2019

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