Evidence map›Paper›PMID 41924312›Full record

ReviewResearch (Washington, D.C.)2026

Stimulation Modalities in Wearable Haptic Systems: Single-Mode Feedback to Multiphysics Actuation.

Xu Guo, Raudel Avila, Ziqi Wu, Xinning Wang, Peixin Xu, Pengbin Ju, Qinzhe Yang, Pei Liu, Sherry Choi, Nikitsin Andrei and 1 more

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Xu GuoState Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian University of Technology, Dalian 116024, China.ORCID https://orcid.org/0000-0002-2032-3910
Raudel AvilaDepartment of Mechanical Engineering, Rice University, Houston, TX 77005, USA.ORCID https://orcid.org/0009-0005-0092-5307
Ziqi WuState Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian University of Technology, Dalian 116024, China.
Xinning WangState Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian University of Technology, Dalian 116024, China.
Peixin XuState Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian University of Technology, Dalian 116024, China.
Pengbin JuState Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian University of Technology, Dalian 116024, China.
Qinzhe YangState Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian University of Technology, Dalian 116024, China.
Pei LiuDepartment of Mechanical Engineering, Rice University, Houston, TX 77005, USA.
Sherry ChoiDepartment of Mechanical Engineering, Rice University, Houston, TX 77005, USA.
Nikitsin AndreiDUT-BSU Joint Institute, Dalian University of Technology, Dalian 116024, China.ORCID https://orcid.org/0000-0002-8585-2119
Zhaoqian XieState Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian University of Technology, Dalian 116024, China.ORCID https://orcid.org/0000-0003-1320-817X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable haptic systems enable natural and intuitive human-machine interaction, with growing relevance in immersive entertainment, physical rehabilitation, social communication, and personalized therapy. By delivering real-time tactile feedback via electrical, thermal, and mechanical stimulation, individually or in combination, these systems enhance user engagement and enable more dynamic and responsive digital interactions. This review presents a structured overview of the design principles, actuation mechanisms, and material architectures that define current wearable haptic technologies. We evaluate the strengths and limitations of major feedback modalities and highlight how system-level designs are tailored to specific use cases, from immersive gaming and training simulations to postoperative rehabilitation and emotion-sensitive communication. We also identify key challenges in miniaturization, multimodal integration, user comfort, and long-term wearability. The insights presented here aim to inform the development of next-generation haptic interfaces that are adaptive, scalable, and deployable in real-world applications.

Identifiers

PMID41924312
PMCPMC13036322

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.