Evidence map›Paper›PMID 41708644›Full record

ArticleScientific data2026

A Psychophysical Dataset for Vibrotactile Augmented Perception.

Mostafa Hamidifard, Samar Nikfarjad, Hosein Pirmohammadi, Rezvan Nasiri, Majid Nili Ahmadabadi

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Mostafa HamidifardResearch Institute for Robotic, Artificial Intelligence, and Information Science (RAIIS), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Samar NikfarjadResearch Institute for Robotic, Artificial Intelligence, and Information Science (RAIIS), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Hosein PirmohammadiResearch Institute for Robotic, Artificial Intelligence, and Information Science (RAIIS), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Rezvan NasiriResearch Institute for Robotic, Artificial Intelligence, and Information Science (RAIIS), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran. rezvan.nasiri@ut.ac.ir.ORCID http://orcid.org/0000-0002-7772-5371
Majid Nili AhmadabadiResearch Institute for Robotic, Artificial Intelligence, and Information Science (RAIIS), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tactile perception modeling has been important research topic for years. However, due to individual differences and complexity of human cognition, the tactile perception modeling is challenging. One of the main challenges in this field is the lack of a rich dataset with sufficient inter-subject, inter-session, and intra-session diversities. Here, for the first time, we present a dataset of human position and intensity perception for 51 different vibration patterns. The dataset includes the experimental results for 40 individuals (20 female and 20 male) in two different sessions. The experimental results include the perceived intensity and position of each vibration pattern as well as selection time and confidence level. After each session the participants were also asked to fill a questionnaire file. We also collected the anthropometric and demographic data, and the participants underwent Bioelectrical Impedance Analysis (BIA) to measure body composition indicators. The detailed results for each participant is located in the dataset. This dataset can be used to develop tactile perception models, study individuals' perception differences, and design tactile sensory feedback.

Indexed as

Touch PerceptionVibrationAdultFemaleHumansMalePsychophysicsYoung Adult

Identifiers

PMID41708644
PMCPMC13031721

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.