Evidence map›Paper›PMID 40343832›Full record

ArticleIEEE transactions on haptics

Evaluation on Human Perception of Various Vibrotactile Encoding Methods Through a High Density Haptic Feedback Interface.

Brendan Driscoll, Nita Prabhu, I-Chieh Lee, Ming Liu, He Huang

Abstract read
In one paragraph

Article in IEEE transactions on haptics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Using EMG Biofeedback to Restore Closed-Loop Neural Control on a Powered Prosthetic Ankle.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Brendan Driscoll
Nita Prabhu
I-Chieh Lee
Ming Liu
He Huang

Funding

Toward Restoration of Normative Postural Control and Stability using Neural Control of Powered Prosthetic AnklesR01HD110519 · NICHD · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI He Huang · 2023 to 2026
$2.5M
NICHD NIH HHS R01 HD110519
6 · The paper itself

Abstract

High density (HD) haptic interfaces have become increasingly common for entertainment thanks to advancements in virtual reality technology, however their flexibility may make them a useful sensory substitution interface for motor rehabilitation. Yet little research has explored how users interpret different haptic feedback encoding methods. Therefore, this study's objective was to evaluate the effectiveness of various encoding methods for conveying information based on existing sensory substitution strategies, one being a line motion tracking task and the other a direction tracking task. The first encoding method was Perceived Position Encoding (PPE), where information was encoded into the perceived position of stimulation. The second was Perceived Intensity Encoding (PIE), encoded information into the perceived amplitude of the stimuli. Twenty-one participants performed tracking tasks using both the PIE and PPE methods. The results showed similar performance in line motion tracking between the PIE and PPE methods, although the extra motors used in the PPE method appear to introduce uncertainty in users. Nevertheless, users were significantly more accurate with direction tracking when using PPE. These findings highlight the need for task-specific encoding methods, and showcase the versatility of the HD haptic vest as a tool for augmented feedback in motor rehabilitation.

Indexed as

Feedback, SensoryTouch PerceptionUser-Computer InterfaceAdultFemaleHumansMaleTouchVibrationVirtual RealityYoung Adult

Identifiers

PMID40343832
PMCPMC12801149

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.