Affective Brain-Computer Interfaces

C. Mühl (Editor), Dirk K.J. Heylen (Editor), Antinus Nijholt (Editor), [Unknown] Unknown

  • 12 Citations

Abstract

These are the proceedings of ABCI 2009, Affective Brain Computer Interfaces, a workshop that was organized in conjunction with ACII 2009, the International Conference on Affective Computation and Intelligent Interaction, held in Amsterdam, The Netherlands, September 2009. The workshop took place on September 9, one day before the main conference in the Keizerzaal at De Rode Hoed, Amsterdam. The workshop explored the advantages and limitations of using neurophysiological signals as a modality for the automatic recognition of affective and cognitive states, and the possibilities of using this information about the user state in innovative and adaptive applications. Recent research in brain-computer interfaces (BCI) has shown that brain activity can be used as an active/voluntary, or passive/involuntary control modality in man-machine interaction. While active BCI paradigms have received a lot of attention in recent years, research on passive approaches to BCI still desperately needs concerted activity. More than once it has been shown that brain activations can carry information about the affective and cognitive state of a subject, and that the interaction between humans and machines can be aided by the recognition of those user states. To achieve robust passive BCIs, efforts from applied and basic sciences have to be combined. On the one hand, applied fields such as affective computing aim at the development of applications that adapt to changes in the user states and thereby enrich the interaction, leading to a more natural and effective usability. On the other hand, basic research in neuroscience advances our understanding of the neural processes associated with emotions. Furthermore, similar advancements are being made for more cognitive mental states, for example, attention, fatigue, and work load, which strongly interact with affective states. The topics we have explored in this particular workshop are: * emotion elicitation and data collection for affective BCI * detection of affect and mental state via BCI and other modalities * adaptive interfaces and affective BCI In this workshop researchers from the communities of brain computer interfacing, affective computing, neuro-ergonomics, affective and cognitive neuroscience have been asked to present state-of-the-art progress and visions on the various overlaps between those disciplines. In addition to the paper presentations there were demonstrations by the company g.tec (Guger Technologies, Graz) and by the Frauenhofer Institute FIRST (Berlin).
Original languageUndefined
Place of PublicationLos Alamitos
PublisherIEEE Computer Society
Number of pages131
ISBN (Print)978-1-4244-4799-2
DOIs
StatePublished - 9 Sep 2009

Publication series

NameACII 2009 Proceedings
PublisherIEEE Computer Society
Volume2

Fingerprint

Brain computer interface
Brain
Human computer interaction
Ergonomics
Demonstrations
Chemical activation
Fatigue of materials
Industry

Keywords

  • EWI-16033
  • HMI-MI: MULTIMODAL INTERACTIONS
  • Emotion elicitation
  • EC Grant Agreement nr.: FP7/211486
  • METIS-264009
  • IR-68953
  • EC Grant Agreement nr.: FP7/231287
  • Passive BCI
  • Brain-Computer Interfaces
  • mental state detection
  • Affective Computing
  • EC Grant Agreement nr.: FP7/231868
  • user adaptation

Cite this

Mühl, C. (Ed.), Heylen, D. K. J. (Ed.), Nijholt, A. (Ed.), & Unknown, . U. (2009). Affective Brain-Computer Interfaces. (ACII 2009 Proceedings; Vol. 2). Los Alamitos: IEEE Computer Society. DOI: 10.1109/ACII.2009.5349457

Mühl, C. (Editor); Heylen, Dirk K.J. (Editor); Nijholt, Antinus (Editor); Unknown, [Unknown] / Affective Brain-Computer Interfaces.

Los Alamitos : IEEE Computer Society, 2009. 131 p. (ACII 2009 Proceedings; Vol. 2).

Research output: ScientificBook editing

@book{647dbe56119d4872a61ee3911e3844a6,
title = "Affective Brain-Computer Interfaces",
abstract = "These are the proceedings of ABCI 2009, Affective Brain Computer Interfaces, a workshop that was organized in conjunction with ACII 2009, the International Conference on Affective Computation and Intelligent Interaction, held in Amsterdam, The Netherlands, September 2009. The workshop took place on September 9, one day before the main conference in the Keizerzaal at De Rode Hoed, Amsterdam. The workshop explored the advantages and limitations of using neurophysiological signals as a modality for the automatic recognition of affective and cognitive states, and the possibilities of using this information about the user state in innovative and adaptive applications. Recent research in brain-computer interfaces (BCI) has shown that brain activity can be used as an active/voluntary, or passive/involuntary control modality in man-machine interaction. While active BCI paradigms have received a lot of attention in recent years, research on passive approaches to BCI still desperately needs concerted activity. More than once it has been shown that brain activations can carry information about the affective and cognitive state of a subject, and that the interaction between humans and machines can be aided by the recognition of those user states. To achieve robust passive BCIs, efforts from applied and basic sciences have to be combined. On the one hand, applied fields such as affective computing aim at the development of applications that adapt to changes in the user states and thereby enrich the interaction, leading to a more natural and effective usability. On the other hand, basic research in neuroscience advances our understanding of the neural processes associated with emotions. Furthermore, similar advancements are being made for more cognitive mental states, for example, attention, fatigue, and work load, which strongly interact with affective states. The topics we have explored in this particular workshop are: * emotion elicitation and data collection for affective BCI * detection of affect and mental state via BCI and other modalities * adaptive interfaces and affective BCI In this workshop researchers from the communities of brain computer interfacing, affective computing, neuro-ergonomics, affective and cognitive neuroscience have been asked to present state-of-the-art progress and visions on the various overlaps between those disciplines. In addition to the paper presentations there were demonstrations by the company g.tec (Guger Technologies, Graz) and by the Frauenhofer Institute FIRST (Berlin).",
keywords = "EWI-16033, HMI-MI: MULTIMODAL INTERACTIONS, Emotion elicitation, EC Grant Agreement nr.: FP7/211486, METIS-264009, IR-68953, EC Grant Agreement nr.: FP7/231287, Passive BCI, Brain-Computer Interfaces, mental state detection, Affective Computing, EC Grant Agreement nr.: FP7/231868, user adaptation",
author = "C. Mühl and Heylen, {Dirk K.J.} and Antinus Nijholt and [Unknown] Unknown",
note = "10.1109/ACII.2009.5349457",
year = "2009",
month = "9",
doi = "10.1109/ACII.2009.5349457",
isbn = "978-1-4244-4799-2",
series = "ACII 2009 Proceedings",
publisher = "IEEE Computer Society",
address = "United States",

}

Mühl, C (ed.), Heylen, DKJ (ed.), Nijholt, A (ed.) & Unknown, U 2009, Affective Brain-Computer Interfaces. ACII 2009 Proceedings, vol. 2, IEEE Computer Society, Los Alamitos. DOI: 10.1109/ACII.2009.5349457

Affective Brain-Computer Interfaces. / Mühl, C. (Editor); Heylen, Dirk K.J. (Editor); Nijholt, Antinus (Editor); Unknown, [Unknown].

Los Alamitos : IEEE Computer Society, 2009. 131 p. (ACII 2009 Proceedings; Vol. 2).

Research output: ScientificBook editing

TY - BOOK

T1 - Affective Brain-Computer Interfaces

AU - Unknown,[Unknown]

A2 - Mühl,C.

A2 - Heylen,Dirk K.J.

A2 - Nijholt,Antinus

N1 - 10.1109/ACII.2009.5349457

PY - 2009/9/9

Y1 - 2009/9/9

N2 - These are the proceedings of ABCI 2009, Affective Brain Computer Interfaces, a workshop that was organized in conjunction with ACII 2009, the International Conference on Affective Computation and Intelligent Interaction, held in Amsterdam, The Netherlands, September 2009. The workshop took place on September 9, one day before the main conference in the Keizerzaal at De Rode Hoed, Amsterdam. The workshop explored the advantages and limitations of using neurophysiological signals as a modality for the automatic recognition of affective and cognitive states, and the possibilities of using this information about the user state in innovative and adaptive applications. Recent research in brain-computer interfaces (BCI) has shown that brain activity can be used as an active/voluntary, or passive/involuntary control modality in man-machine interaction. While active BCI paradigms have received a lot of attention in recent years, research on passive approaches to BCI still desperately needs concerted activity. More than once it has been shown that brain activations can carry information about the affective and cognitive state of a subject, and that the interaction between humans and machines can be aided by the recognition of those user states. To achieve robust passive BCIs, efforts from applied and basic sciences have to be combined. On the one hand, applied fields such as affective computing aim at the development of applications that adapt to changes in the user states and thereby enrich the interaction, leading to a more natural and effective usability. On the other hand, basic research in neuroscience advances our understanding of the neural processes associated with emotions. Furthermore, similar advancements are being made for more cognitive mental states, for example, attention, fatigue, and work load, which strongly interact with affective states. The topics we have explored in this particular workshop are: * emotion elicitation and data collection for affective BCI * detection of affect and mental state via BCI and other modalities * adaptive interfaces and affective BCI In this workshop researchers from the communities of brain computer interfacing, affective computing, neuro-ergonomics, affective and cognitive neuroscience have been asked to present state-of-the-art progress and visions on the various overlaps between those disciplines. In addition to the paper presentations there were demonstrations by the company g.tec (Guger Technologies, Graz) and by the Frauenhofer Institute FIRST (Berlin).

AB - These are the proceedings of ABCI 2009, Affective Brain Computer Interfaces, a workshop that was organized in conjunction with ACII 2009, the International Conference on Affective Computation and Intelligent Interaction, held in Amsterdam, The Netherlands, September 2009. The workshop took place on September 9, one day before the main conference in the Keizerzaal at De Rode Hoed, Amsterdam. The workshop explored the advantages and limitations of using neurophysiological signals as a modality for the automatic recognition of affective and cognitive states, and the possibilities of using this information about the user state in innovative and adaptive applications. Recent research in brain-computer interfaces (BCI) has shown that brain activity can be used as an active/voluntary, or passive/involuntary control modality in man-machine interaction. While active BCI paradigms have received a lot of attention in recent years, research on passive approaches to BCI still desperately needs concerted activity. More than once it has been shown that brain activations can carry information about the affective and cognitive state of a subject, and that the interaction between humans and machines can be aided by the recognition of those user states. To achieve robust passive BCIs, efforts from applied and basic sciences have to be combined. On the one hand, applied fields such as affective computing aim at the development of applications that adapt to changes in the user states and thereby enrich the interaction, leading to a more natural and effective usability. On the other hand, basic research in neuroscience advances our understanding of the neural processes associated with emotions. Furthermore, similar advancements are being made for more cognitive mental states, for example, attention, fatigue, and work load, which strongly interact with affective states. The topics we have explored in this particular workshop are: * emotion elicitation and data collection for affective BCI * detection of affect and mental state via BCI and other modalities * adaptive interfaces and affective BCI In this workshop researchers from the communities of brain computer interfacing, affective computing, neuro-ergonomics, affective and cognitive neuroscience have been asked to present state-of-the-art progress and visions on the various overlaps between those disciplines. In addition to the paper presentations there were demonstrations by the company g.tec (Guger Technologies, Graz) and by the Frauenhofer Institute FIRST (Berlin).

KW - EWI-16033

KW - HMI-MI: MULTIMODAL INTERACTIONS

KW - Emotion elicitation

KW - EC Grant Agreement nr.: FP7/211486

KW - METIS-264009

KW - IR-68953

KW - EC Grant Agreement nr.: FP7/231287

KW - Passive BCI

KW - Brain-Computer Interfaces

KW - mental state detection

KW - Affective Computing

KW - EC Grant Agreement nr.: FP7/231868

KW - user adaptation

U2 - 10.1109/ACII.2009.5349457

DO - 10.1109/ACII.2009.5349457

M3 - Book editing

SN - 978-1-4244-4799-2

T3 - ACII 2009 Proceedings

BT - Affective Brain-Computer Interfaces

PB - IEEE Computer Society

ER -

Mühl C, (ed.), Heylen DKJ, (ed.), Nijholt A, (ed.), Unknown U. Affective Brain-Computer Interfaces. Los Alamitos: IEEE Computer Society, 2009. 131 p. (ACII 2009 Proceedings). Available from, DOI: 10.1109/ACII.2009.5349457