Evidence map›Paper›PMID 36403143›Full record

ArticleDisability and rehabilitation. Assistive technology2024

Ethical issues raised by incorporating personalized language models into brain-computer interface communication technologies: a qualitative study of individuals with neurological disease.

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

Open access · greenAbstract read
In one paragraph

Article in Disability and rehabilitation. Assistive technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Ethics of brain-computer interface in mental healthcare.Frontiers in human neuroscience · 2026
    Article
  3. Article
  4. [Virtual reality-brain computer interface hand function enhancement rehabilitation system incorporating multi-sensory stimulation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  5. Article
  6. Review
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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 at 1 institution in 1 country.

Eran KleinDepartment of Neurology, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0002-0132-5777
Michelle KinsellaInstitute on Development and Disability, Oregon Health & Science University, Portland, OR, USA.
Ian StevensDepartment of Neurosurgery, Oregon Health & Science University, Portland, OR, USA.
Melanie Fried-OkenDepartment of Neurology, Oregon Health & Science University, Portland, OR, USA.
Oregon Health & Science University · US

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

purposeTo examine the views of individuals with neurodegenerative diseases about ethical issues related to incorporating personalized language models into brain-computer interface (BCI) communication technologies.

methodsFifteen semi-structured interviews and 51 online free response surveys were completed with individuals diagnosed with neurodegenerative disease that could lead to loss of speech and motor skills. Each participant responded to questions after six hypothetical ethics vignettes were presented that address the possibility of building language models with personal words and phrases in BCI communication technologies. Data were analyzed with consensus coding, using modified grounded theory.

resultsFour themes were identified. (1) The experience of a neurodegenerative disease shapes preferences for personalized language models. (2) An individual's identity will be affected by the ability to personalize the language model. (3) The motivation for personalization is tied to how relationships can be helped or harmed. (4) Privacy is important to people who may need BCI communication technologies. Responses suggest that the inclusion of personal lexica raises ethical issues. Stakeholders want their values to be considered during development of BCI communication technologies.

conclusionsWith the rapid development of BCI communication technologies, it is critical to incorporate feedback from individuals regarding their ethical concerns about the storage and use of personalized language models. Stakeholder values and preferences about disability, privacy, identity and relationships should drive design, innovation and implementation.IMPLICATIONS FOR REHABILITATIONIndividuals with neurodegenerative diseases are important stakeholders to consider in development of natural language processing within brain-computer interface (BCI) communication technologies.The incorporation of personalized language models raises issues related to disability, identity, relationships, and privacy.People who may one day rely on BCI communication technologies care not just about usability of communication technology but about technology that supports their values and priorities.Qualitative ethics-focused research is a valuable tool for exploring stakeholder perspectives on new capabilities of BCI communication technologies, such as the storage and use of personalized language models.

Indexed as

Brain-Computer InterfacesBrain DiseasesNeurodegenerative DiseasesHumansLanguageTechnologyBrain-computer interfacecommunicationethicsidentitylanguage modelsprivacystakeholders

Identifiers

PMID36403143
PMCPMC10351684
OpenAlexW4309436840

What Socratic holds

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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 Socratic graph.