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Record W2035644337 · doi:10.1016/j.intcom.2008.08.004

Tactile sensory substitution: Models for enaction in HCI

2008· article· en· W2035644337 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

VenueInteracting with Computers · 2008
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsMcGill UniversityCentre for Interdisciplinary Research in Music Media and Technology
Fundersnot available
KeywordsSensory substitutionHuman–computer interactionPerceptionRelevance (law)Embodied cognitionComputer scienceSensory systemHaptic technologyCognitive scienceIntersection (aeronautics)Function (biology)Field (mathematics)PsychologyCognitive psychologySimulationNeuroscienceArtificial intelligenceEngineering

Abstract

fetched live from OpenAlex

To apply enactive principles within human–computer interaction poses interesting challenges to the way that we design and evaluate interfaces, particularly those that possess a strong sensorimotor character. This article surveys the field of tactile sensory substitution, an area of science and engineering that lies at the intersection of such research domains as neuroscience, haptics, and sensory prosthetics. It is argued that this area of research is of high relevance to the design and understanding of enactive interfaces that make use of touch, and is also a fertile arena for revealing fundamental issues at stake in the design and implementation of enactive interfaces, ranging from engineering, to human sensory physiology, and the function and plasticity of perception. A survey of these questions is provided, alongside a range of current and historical examples.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.743

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.087
GPT teacher head0.293
Teacher spread0.206 · 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