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Record W3106501569 · doi:10.1080/17483107.2020.1849434

Evaluation of the feasibility of an error-minimized approach to powered wheelchair skills training using shared control

2020· article· en· W3106501569 on OpenAlexaff
Emma Smith, William C. Miller, Ian M. Mitchell, W. Ben Mortenson, Alex Mihailidis

Bibliographic record

VenueDisability and Rehabilitation Assistive Technology · 2020
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsUniversity of TorontoInternational Collaboration On Repair DiscoveriesUniversity of British ColumbiaVancouver Coastal Health Research InstituteGF Strong Rehabilitation Centre
Fundersnot available
KeywordsWheelchairCognitive trainingFeelingCognitionControl (management)PsychologyPhysical medicine and rehabilitationTraining (meteorology)Applied psychologyPhysical therapyMedicineComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Powered wheelchairs promote participation for people with mobility limitations. For older adults with cognitive impairment, existing training methods may not address learning needs, leading to difficulty with powered wheelchair skills. Error-minimized training, facilitated by shared control technology, may provide learning opportunities more suited to this population. OBJECTIVE: The objective of this study was to evaluate the feasibility of an error-minimized approach to powered wheelchair skills training using shared control in residential care. Feasibility indicators were hypothesized a priori to be feasible for use in a definitive RCT. METHODS: A 2 × 2 factorial RCT compared an error-minimized powered wheelchair skills training program (Co-pilot) to a control intervention at two doses (6 sessions vs. 12 sessions). Data were collected on the feasibility of study processes (e.g., recruitment), resources (e.g., participant time), management (e.g., technology reliability), and training outcomes (e.g., adverse events, clinical outcomes). RESULTS: Twenty-five older adults with cognitive impairment participated in the study. Technical issues were encountered in 14.5% of training sessions. Participants receiving 6 sessions of training adhered better to the treatment than those receiving 12 sessions. All participants learned the skills required for PWC use with minor errors, regardless of the training method or dose. Co-pilot participants and trainers reported feelings of safety and training benefits with the use of shared control technology. CONCLUSIONS: Individuals with mild to moderate cognitive impairment are able to learn the skills required to drive a powered wheelchair in as few as six training sessions. Further evaluation of the Co-pilot training program is required.IMPLICATIONS FOR REHABILITATIONShared control teleoperation technology may be used to augment learning in older adults with cognitive impairments.Evaluation of the feasibility of use of novel rehabilitation technologies is critical prior to engaging in large-scale clinical research.Individuals with cognitive impairment are able to learn the required skills for operation of a powered wheelchair.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.175
GPT teacher head0.455
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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