Using fNIRS brain sensing in realistic hci settings: Experiments and guidelines

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

67 Scopus citations

Abstract

Because functional near-infrared spectroscopy (fNIRS) eases many of the restrictions of other brain sensors, it has potential to open up new possibilities for HCI research. From our experience using fNIRS technology for HCI, we identify several considerations and provide guidelines for using fNIRS in realistic HCI laboratory settings. We empirically examine whether typical human behavior (e.g. head and facial movement) or computer interaction (e.g. key-board and mouse usage) interfere with brain measurement using fNIRS. Based on the results of our study, we establish which physical behaviors inherent in computer usage interfere with accurate fNIRS sensing of cognitive state information, which can be corrected in data analysis, and which are acceptable. With these findings, we hope to facilitate further adoption of fNIRS brain sensing technology in HCI research.

Original languageEnglish (US)
Title of host publicationUIST 2009 - Proceedings of the 22nd Annual ACM Symposium on User Interface Software and Technology
Pages157-166
Number of pages10
DOIs
StatePublished - Nov 27 2009
Externally publishedYes
Event22nd Annual ACM Symposium on User Interface Software and Technology, UIST 2009 - Victoria, BC, Canada
Duration: Oct 4 2009Oct 7 2009

Publication series

NameUIST 2009 - Proceedings of the 22nd Annual ACM Symposium on User Interface Software and Technology

Other

Other22nd Annual ACM Symposium on User Interface Software and Technology, UIST 2009
CountryCanada
CityVictoria, BC
Period10/4/0910/7/09

Keywords

  • BCI
  • Brain-computer interface
  • FNIRS
  • Functional near-infrared spectroscopy
  • Human cognition

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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  • Cite this

    Solovey, E. T., Girouard, A., Chauncey, K., Hirshfield, L. M., Sassaroli, A., Zheng, F., Fantini, S., & Jacob, R. J. K. (2009). Using fNIRS brain sensing in realistic hci settings: Experiments and guidelines. In UIST 2009 - Proceedings of the 22nd Annual ACM Symposium on User Interface Software and Technology (pp. 157-166). (UIST 2009 - Proceedings of the 22nd Annual ACM Symposium on User Interface Software and Technology). https://doi.org/10.1145/1622176.1622207