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Record W2620971633 · doi:10.1177/0954405417711736

Improvement of user experience using virtual reality in open-architecture product design

2017· article· en· W2620971633 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · 2017
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsUniversity of Manitoba
FundersNational Natural Science Foundation of China
KeywordsUser experience designComputer scienceArchitectureProduct (mathematics)Product designUser interfaceUser interface designHuman–computer interactionNew product developmentProduct engineeringVirtual realityFunction (biology)Open architectureUser journeyComputer user satisfactionSoftwareOperating system

Abstract

fetched live from OpenAlex

User experience has a significant impact on the effective product design and improvement, especially for a personalized product to meet user’s individual need. The development of personalized products requires data from user experience in the evaluation of the product function and performance. The existing methods of Internet-based interactive platforms and direct market user surveys cannot provide users full experience of product features. This research proposes a user interactive system based on virtual reality technologies to provide users a close-real experience in the development of open-architecture products. The system provides users an interface built on the virtual environment. The users can review a product design by virtually operating and evaluating the product. The system records users’ operations and feedbacks for designers to improve the product. Food trucks designed using the open-architecture concept are used as applications to verify the proposed method. A user survey is conducted to examine the system effectiveness.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.713

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.288
Teacher spread0.245 · 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