Distinguishing difficulty levels with non-invasive brain activity measurements

Audrey Girouard; Erin Treacy Solovey; Leanne M. Hirshfield; Krysta Chauncey; Angelo Sassaroli; Sergio Fantini; Robert J.K. Jacob

doi:10.1007/978-3-642-03655-2_50

Distinguishing difficulty levels with non-invasive brain activity measurements

Audrey Girouard, Erin Treacy Solovey, Leanne M. Hirshfield, Krysta Chauncey, Angelo Sassaroli, Sergio Fantini, Robert J.K. Jacob

Research output: Chapter in Book/Entry/Poem › Conference contribution

44 Scopus citations

Abstract

Passive brain-computer interfaces are designed to use brain activity as an additional input, allowing the adaptation of the interface in real time according to the user's mental state. The goal of the present study is to distinguish between different levels of game difficulty using non-invasive brain activity measurement with functional near-infrared spectroscopy (fNIRS). The study is designed to lead to adaptive interfaces that respond to the user's brain activity in real time. Nine subjects played two levels of the game Pacman while their brain activity was measured using fNIRS. Statistical analysis and machine learning classification results show that we can discriminate well between subjects playing or resting, and distinguish between the two levels of difficulty with some success. In contrast to most previous fNIRS studies which only distinguish brain activity from rest, we attempt to tell apart two levels of brain activity, and our results show potential for using fNIRS in an adaptive game or user interface.

Original language	English (US)
Title of host publication	Human-Computer Interaction - INTERACT 2009 - 12th IFIP TC 13 International Conference, Proceedings
Pages	440-452
Number of pages	13
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-03655-2_50
State	Published - 2009
Externally published	Yes
Event	12th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2009 - Uppsala, Sweden Duration: Aug 24 2009 → Aug 28 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	5726 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	12th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2009
Country/Territory	Sweden
City	Uppsala
Period	8/24/09 → 8/28/09

Keywords

Brain-computer interface
Difficulty level
FNIRS
Functional near-infrared spectroscopy
Game
Human cognition
Task classification

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-03655-2_50

Cite this

Girouard, A., Solovey, E. T., Hirshfield, L. M., Chauncey, K., Sassaroli, A., Fantini, S., & Jacob, R. J. K. (2009). Distinguishing difficulty levels with non-invasive brain activity measurements. In Human-Computer Interaction - INTERACT 2009 - 12th IFIP TC 13 International Conference, Proceedings (PART 1 ed., pp. 440-452). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5726 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-03655-2_50

Distinguishing difficulty levels with non-invasive brain activity measurements. / Girouard, Audrey; Solovey, Erin Treacy; Hirshfield, Leanne M. et al.
Human-Computer Interaction - INTERACT 2009 - 12th IFIP TC 13 International Conference, Proceedings. PART 1. ed. 2009. p. 440-452 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5726 LNCS, No. PART 1).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Girouard, A, Solovey, ET, Hirshfield, LM, Chauncey, K, Sassaroli, A, Fantini, S & Jacob, RJK 2009, Distinguishing difficulty levels with non-invasive brain activity measurements. in Human-Computer Interaction - INTERACT 2009 - 12th IFIP TC 13 International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5726 LNCS, pp. 440-452, 12th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2009, Uppsala, Sweden, 8/24/09. https://doi.org/10.1007/978-3-642-03655-2_50

Girouard A, Solovey ET, Hirshfield LM, Chauncey K, Sassaroli A, Fantini S et al. Distinguishing difficulty levels with non-invasive brain activity measurements. In Human-Computer Interaction - INTERACT 2009 - 12th IFIP TC 13 International Conference, Proceedings. PART 1 ed. 2009. p. 440-452. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-03655-2_50

Girouard, Audrey ; Solovey, Erin Treacy ; Hirshfield, Leanne M. et al. / Distinguishing difficulty levels with non-invasive brain activity measurements. Human-Computer Interaction - INTERACT 2009 - 12th IFIP TC 13 International Conference, Proceedings. PART 1. ed. 2009. pp. 440-452 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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Distinguishing difficulty levels with non-invasive brain activity measurements

Abstract

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Keywords

ASJC Scopus subject areas

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