Evidence map›Paper›PMID 39301184›Full record

ArticleBrain computer interfaces (Abingdon, England)2024

What stakeholders with neurodegenerative conditions value about speech and accuracy in development of BCI systems for communication.

Melanie Fried-Oken, Michelle Kinsella, Ian Stevens, Eran Klein

Abstract read
In one paragraph

Article in Brain computer interfaces (Abingdon, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Melanie Fried-OkenInstitute on Development and Disability, Oregon Health & Science University.ORCID 0000-0002-5075-8392
Michelle KinsellaInstitute on Development and Disability, Oregon Health & Science University.ORCID 0000-0002-7677-1042
Ian StevensDepartment of Neurosurgery, Oregon Health & Science University.ORCID 0000-0002-6492-3125
Eran KleinDepartment of Neurology, Oregon Health & Science University.ORCID 0000-0002-0132-5777

Funding

Translational refinement of adaptive communication system for locked-in patientsR01DC009834 · NIDCD · OREGON HEALTH & SCIENCE UNIVERSITY · PI FRIED-OKEN, MELANIE · 2009 to 2024
$12.5M
NIDCD NIH HHS R01 DC009834
6 · The paper itself

Abstract

This research examined values of individuals with neurodegenerative conditions about features of speed and accuracy as they consider potential use of augmentative and alternative communication brain-computer interface systems (AAC-BCI). Sixty-six individuals with neurodegenerative disease responded to prompts about six hypothetical ethical vignettes. Data were analyzed with qualitative content analysis. The following themes emerged. (1) Disease progression may contribute to the trade-off between speed and accuracy with AAC-BCI systems. (2) Individual experiences with technology use inform their views about the speed-accuracy trade-off. (3) There is a range of views about how slow or inaccurate communication may impact relationships, the integrity of a message, and quality of life. (4) Design solutions are proposed to address trade-offs in AAC-BCI systems. With the rapid development of AAC-BCI systems, user-centered design must integrate values of potential end-users illustrating that context, partner, message, and environment impact the prioritization of speed or accuracy in any communication exchange.

Indexed as

assistive technologyaugmentative and alternative communicationefficiency and accuracyneuroethicsuser-centered design

Identifiers

PMID39301184
PMCPMC11409582

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.