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Record W4414693258 · doi:10.1109/toh.2025.3616046

Exploring Tactile Perception: Development and Evaluation of the PinArray, a Novel Haptic Device

2025· article· en· W4414693258 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

VenueIEEE Transactions on Haptics · 2025
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsBaycrest Hospital
FundersBentley University
KeywordsHaptic technologyHaptic perceptionPerceptionTactile perceptionTactile sensorTactile stimuliActive perceptionModulation (music)

Abstract

fetched live from OpenAlex

Despite advances in vibrotactile displays, most existing systems are limited in their ability to deliver calibrated, frequency-differentiated stimulation across multiple touch modes. This constrains our understanding of how supra-threshold frequency modulation influences tactile perception, particularly in dynamic, shape-based interactions. To address this gap, we introduce the PinArray-a novel hybrid haptic device featuring a 4 × 3 array of independently actuated pins capable of delivering vibrations from 0 to 300 Hz. The PinArray uniquely supports static, passive, and active touch conditions, enabling nuanced exploration of tactile shape encoding. We evaluated the device in a user study examining the perception of edge-like shapes generated via frequency pairings. Results show that specific combinations, especially those involving static and dynamic frequency pairs, significantly enhance shape recognition. These findings highlight the device's potential for advancing both perceptual research and the development of expressive tactile interfaces.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.461

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)0.0000.000

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 head0.244
GPT teacher head0.336
Teacher spread0.092 · 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