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Record W7165853885 · doi:10.2196/86338

Usability and Functional Outcomes of the Obi3 Robotic Feeding Device: A Mixed-Methods Study Among Persons with Disabilities, Caregivers, and Providers (Preprint)

2025· article· en· W7165853885 on OpenAlexvenueno aff
Andrea D. Fairman, Ryan P. Osal, Heather Keeton, Jonathan P. Dekar

Bibliographic record

VenueJMIR Rehabilitation and Assistive Technologies · 2025
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsUsabilityQualitative researchHuman–robot interactionMEDLINEData collection

Abstract

fetched live from OpenAlex

BACKGROUND: Loss of self-feeding ability due to severe bilateral upper extremity motor impairment (BUEMI) limits functional independence with a critical activity of daily living, increases medical risks, reduces social participation, and affects overall well-being. Robotic feeding devices are an emerging category of assistive technology. Obi3 is a third-generation, robotic feeding device, regulated in the United States as a Class I medical device and CE marked as a Class I device under the European Union Medical Device Regulation. The device is designed to enable people with BUEMI to independently select and safely consume food and liquid using accessible switches or interfaces while maintaining culturally normative dining practices. Although earlier Obi generations showed promise, comprehensive usability data across multiple stakeholder groups remains limited. OBJECTIVE: This study evaluated the usability, safety, and clinical relevance of Obi3 in real-world use from the perspectives of people with BUEMI, caregivers, and rehabilitation providers. The findings were intended to generate evidence to inform clinical decision-making and determinations of medical necessity for potential DME coverage, consistent with the device's intended use and clinician-assessed implementation. METHODS: A mixed methods usability study provided a 1-week home trial of Obi3. Quantitative measures included the System Usability Scale (SUS), survey items adapted from the Matching Person and Technology (MPT) framework, and self-feeding ratings based on the International Classification of Functioning, Disability, and Health impairment scale. Paired-sample t tests, Wilcoxon signed-rank tests, and effect sizes (Cohen d) assessed changes in self-feeding scores. Qualitative data from open-ended survey responses and follow-up semistructured interviews were analyzed thematically to complement quantitative findings. RESULTS: =10.75; P<.001; Cohen d=3.40). All patient participants demonstrated improvement in functional self-feeding ability. Mean SUS scores exceeded the benchmark for acceptable usability (≥68) across stakeholder groups: 82.8 (SD 17.2) for people with BUEMI, 85.2 (SD 12.6) for caregivers, and 85.0 (SD 10.7) for providers. Responses to MPT items indicated strong alignment between user goals and device capabilities, perceived safety, and low complexity. Caregivers reported reduced feeding-related workload and stress, and providers endorsed ease of clinical integration. No adverse events or device malfunctions occurred. CONCLUSIONS: Obi3 demonstrated high usability, safety, and clinical use in restoring self-feeding independence among individuals with severe BUEMI. Findings across people with BUEMI, caregivers, and providers support Obi3 as an effective DME that may enhance user autonomy and reduce caregiver burden. Lengthier longitudinal studies are needed to establish long-term clinical efficacy and health outcomes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.322
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2025
Admission routes1
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