Evidence map›Paper›PMID 41343715›Full record

ReviewChemical reviews2025

Skin-Integrated Soft Wearable XR Interfaces for Seamless and Realistic User Experience.

Kyung Rok Pyun, Jung Jae Park, Jiyong Ahn, Yoon Seon Lee, Hongchan Kim, Jinsol Kim, Sangjin Yoon, Kyoung-Ho Ha, Deog-Gyu Seo, John A Rogers and 1 more

Abstract readReview
In one paragraph

Review in Chemical reviews, 2025. 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.

Kyung Rok PyunDepartment of Mechanical Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Jung Jae ParkDepartment of Mechanical Engineering, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0009-0008-1098-3457
Jiyong AhnDepartment of Mechanical Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Yoon Seon LeeDepartment of Conservative Dentistry and Dental Research Institute, School of Dentistry, Seoul National University, Seoul 03080, Republic of Korea.
Hongchan KimDepartment of Mechanical Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Jinsol KimDepartment of Mechanical Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Sangjin YoonDepartment of Mechanical Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Kyoung-Ho HaQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States.
Deog-Gyu SeoDepartment of Conservative Dentistry and Dental Research Institute, School of Dentistry, Seoul National University, Seoul 03080, Republic of Korea.
John A RogersQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States.ORCID 0000-0002-2980-3961
Seung Hwan KoDepartment of Mechanical Engineering, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0002-7477-0820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extended reality (XR) is an emerging field that connects the physical and digital worlds, enabling communication that transcends time and space. Commercial XR devices have been developed to support such experiences, but they are limited to specific sensations, mainly vibrational cues. Furthermore, these devices are realized mainly in rigid form factors, requiring external controllers or equipment, which hinders intuitive interaction and causes a mismatch with natural body movements. In this regard, skin-integrated human-machine interfaces with wearable electronics have played an important role in intuitive and immersive interaction in the XR environment, facilitating highly authentic sensory reconstruction and perception. Novel innovations in materials and structural design have enabled a wider range of sensory modalities and miniaturization, overcoming the limitations of conventional rigid XR systems. In this article, we thoroughly review human perception mechanisms to replicate hyper-realistic sensations. Then, we deal with the design and functionality for sensory feedback and input, specifically tailored for XR applications. In addition, we discuss precise system-level integration for untethered XR devices, alongside the role of artificial intelligence in real-time processing and rapid sensation conversion through predictive algorithms. Finally, we introduce promising XR applications and conclude with the challenges and prospects of future XR technologies.

Indexed as

SkinWearable Electronic DevicesArtificial IntelligenceHumans

Identifiers

PMID41343715
PMCPMC12746418

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.