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Record W1445297489

ISO's work on tactile and haptic interaction guidelines

2006· article· en· W1445297489 on OpenAlexaff
Jan B. F. van Erp, J. Carter, Ian Andrew

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsHaptic technologyInteroperabilitySet (abstract data type)Human–computer interactionComputer scienceSoftwarePlan (archaeology)Work (physics)EngineeringSimulationWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Tactile and haptic interaction is becoming increasingly important both in assistive technologies and in special purpose computing environments. While considerable research exists, the current lack of ergonomic standards in this area results in many systems being developed without sufficient concerns for either ergonomics or interoperability. This leads to serious ergonomic difficulties for users of multiple, incompatible or conflicting tactile/haptic devices/applications. A new set of ISO standards is being developed as a set of new parts of ISO 9241 Ergonomics of Human-System Interaction by a working group of ISO TC159/SC4 (WG9 Tactile and Haptic Interactions). These standards, which are being dual-tracked as both ISO and CEN standards, provide ergonomic requirements and recommendations for haptic and tactile hardware and software interactions, including guidance related to the design and evaluation of hardware, software, and combinations of hardware and software interactions. This paper starts with a short introduction on the background of tactile and haptic perception and devices. Thereafter, we will introduce the work plan for WG9 and the documents that already are, or will be under development in 2006/2007. More details are provided on the guidelines document, including an introduction of the framework that will be used to structure the guidance. The first working draft of this document was developed by experts from 6 countries, and combines guidance from 40 research papers and from 10 ISO standards.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.747

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.073
GPT teacher head0.329
Teacher spread0.257 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations16
Published2006
Admission routes1
Has abstractyes

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