• RSVP keyboard with inquiry pre...

*Result*: RSVP keyboard with inquiry preview: mixed performance and user experience with an adaptive, multimodal typing interface combining EEG and switch input.

Title:
RSVP keyboard with inquiry preview: mixed performance and user experience with an adaptive, multimodal typing interface combining EEG and switch input.
Authors:
Peters B; Institute on Development & Disability, Department of Pediatrics, Oregon Health & Science University, Portland, OR, United States of America., Celik B; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States of America., Gaines D; Department of Computer Science, Michigan Technological University, Houghton, MI, United States of America., Galvin-McLaughlin D; Institute on Development & Disability, Department of Pediatrics, Oregon Health & Science University, Portland, OR, United States of America.; Speech-Language and Hearing Sciences Department, Boston University, Boston, MA, United States of America., Imbiriba T; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States of America.; Department of Computer Science, University of Massachusetts Boston, Boston, MA, United States of America., Kinsella M; Institute on Development & Disability, Department of Pediatrics, Oregon Health & Science University, Portland, OR, United States of America., Klee D; Department of Neurology, Oregon Health & Science University, Portland, OR, United States of America., Lawhead M; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR, United States of America., Memmott T; Institute on Development & Disability, Department of Pediatrics, Oregon Health & Science University, Portland, OR, United States of America.; Department of Neurology, Oregon Health & Science University, Portland, OR, United States of America., Smedemark-Margulies N; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States of America.; Analog Garage, Analog Devices, Boston, MA 02110, United States of America., Wiedrick J; Biostatistics & Design Program, Oregon Health & Science University, Portland, OR, United States of America., Erdogmus D; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States of America., Oken B; Department of Neurology, Oregon Health & Science University, Portland, OR, United States of America., Vertanen K; Department of Computer Science, Michigan Technological University, Houghton, MI, United States of America., Fried-Oken M; Institute on Development & Disability, Department of Pediatrics, Oregon Health & Science University, Portland, OR, United States of America.
Source:
Journal of neural engineering [J Neural Eng] 2025 Feb 04; Vol. 22 (1). Date of Electronic Publication: 2025 Feb 04.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Institute of Physics Pub Country of Publication: England NLM ID: 101217933 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-2552 (Electronic) Linking ISSN: 17412552 NLM ISO Abbreviation: J Neural Eng Subsets: MEDLINE
Imprint Name(s):
Original Publication: Bristol, U.K. : Institute of Physics Pub., 2004-
MeSH Terms:
Electroencephalography*/methods , Electroencephalography*/instrumentation , Psychomotor Performance*/physiology , Brain-Computer Interfaces* , Communication Devices for People with Disabilities* , Computer Peripherals*, Humans ; Male ; Female ; Adult ; Middle Aged ; Young Adult ; Equipment Design ; Aged
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Grant Information:
P30 AG066518 United States AG NIA NIH HHS; R01 DC009834 United States DC NIDCD NIH HHS
Contributed Indexing:
Keywords: assistive technology; augmentative and alternative communication; brain-computer interface; electroencephalography; event-related potential; locked-in syndrome; multimodal access
Molecular Sequence:
ClinicalTrials.gov NCT04468919
Entry Date(s):
Date Created: 20250110 Date Completed: 20250430 Latest Revision: 20260306
Update Code:
20260306
PubMed Central ID:
PMC11921818
DOI:
10.1088/1741-2552/ada8e0
PMID:
39793200
Database:
MEDLINE

*Further Information*

*Objective.The RSVP Keyboard is a non-implantable, event-related potential-based brain-computer interface (BCI) system designed to support communication access for people with severe speech and physical impairments. Here we introduce inquiry preview (IP), a new RSVP Keyboard interface incorporating switch input for users with some voluntary motor function, and describe its effects on typing performance and other outcomes.Approach.Four individuals with disabilities participated in the collaborative design of possible switch input applications for the RSVP Keyboard, leading to the development of IP and a method of fusing switch input with language model and electroencephalography (EEG) evidence for typing. Twenty-four participants without disabilities and one potential end user with incomplete locked-in syndrome took part in two experiments investigating the effects of IP and two modes of switch input on typing accuracy and speed during a copy-spelling task.Main results.For participants without disabilities, IP and switch input tended to worsen typing performance compared to the standard RSVP Keyboard condition, with more consistent effects across participants for speed than for accuracy. However, there was considerable variability, with some participants demonstrating improved typing performance and better user experience (UX) with IP and switch input. Typing performance for the potential end user was comparable to that of participants without disabilities. He typed most quickly and accurately with IP and switch input and gave favorable UX ratings to those conditions, but preferred standard RSVP Keyboard.Significance.IP is a novel multimodal interface for the RSVP Keyboard BCI, incorporating switch input as an additional control signal. Typing performance and UX and preference varied widely across participants, reinforcing the need for flexible, customizable BCI systems that can adapt to individual users. ClinicalTrials.gov Identifier: NCT04468919.
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