research-article

Brain computer interfaces as intelligent sensors for enhancing human-computer interaction

Authors:

Egon L. van den Broek,

Stephen Fairclough,

Anton NijholtAuthors Info & Claims

ICMI '12: Proceedings of the 14th ACM international conference on Multimodal interaction

Pages 379 - 382

https://doi.org/10.1145/2388676.2388761

Published: 22 October 2012 Publication History

Abstract

BCIs are traditionally conceived as a way to control apparatus, an interface that allows you to "act on" external devices as a form of input control. We propose an alternative use of BCIs, that of monitoring users as an additional intelligent sensor to enrich traditional means of interaction. This vision is what we consider to be a grand challenge in the field of multimodal interaction. In this article, this challenge is introduced, related to existing work, and illustrated using some best practices and the contributions it has received.

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Cited By

Castellano GLeite IPaiva A(2018)Detecting perceived quality of interaction with a robot using contextual featuresAutonomous Robots10.1007/s10514-016-9592-y41:5(1245-1261)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1007/s10514-016-9592-y
Lee J(2018)Brain---computer interfaces and dualismAI & Society10.1007/s00146-014-0545-831:1(29-40)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1007/s00146-014-0545-8

Index Terms

Brain computer interfaces as intelligent sensors for enhancing human-computer interaction
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
    2. Interaction devices
      1. Touch screens

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Information & Contributors

Information

Published In

cover image ACM Conferences

ICMI '12: Proceedings of the 14th ACM international conference on Multimodal interaction

October 2012

636 pages

ISBN:9781450314671

DOI:10.1145/2388676

General Chairs:
Louis-Philippe Morency
University of Southern California, USA
,
Dan Bohus
Microsoft Research, USA
,
Hamid Aghajan
Stanford University, USA
,
Program Chairs:
Justine Cassell
Carnegie Mellon University, USA
,
Anton Nijholt
University of Twente, Netherlands
,
Julien Epps
The University of New South Wales, Australia

Copyright © 2012 ACM.

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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2012

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ICMI '12

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SIGCHI

ICMI '12: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

October 22 - 26, 2012

California, Santa Monica, USA

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Overall Acceptance Rate 453 of 1,080 submissions, 42%

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Cited By

Castellano GLeite IPaiva A(2018)Detecting perceived quality of interaction with a robot using contextual featuresAutonomous Robots10.1007/s10514-016-9592-y41:5(1245-1261)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1007/s10514-016-9592-y
Lee J(2018)Brain---computer interfaces and dualismAI & Society10.1007/s00146-014-0545-831:1(29-40)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1007/s00146-014-0545-8

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