Evidence map›Paper›PMID 39585986›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Miniaturized, portable gustation interfaces for VR/AR/MR.

Yiming Liu, Wooyoung Park, Chun Ki Yiu, Xingcan Huang, Shengxin Jia, Yao Chen, Hehua Zhang, Hongting Chen, Pengcheng Wu, Mengge Wu and 8 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. 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. Review
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

18 authors.

Yiming LiuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.ORCID 0000-0003-0134-1934
Wooyoung ParkDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.
Chun Ki YiuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.
Xingcan HuangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.
Shengxin JiaDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.
Yao ChenDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.
Hehua ZhangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.
Hongting ChenDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.
Pengcheng WuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.ORCID 0000-0002-7990-4234
Mengge WuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.
Zhenyu LiuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.ORCID 0009-0003-0345-0226
Yuyu GaoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.
Kening ZhuDepartment of Computer Science, City University of Hong Kong, Kowloong Tong, Hong Kong.
Zhao ZhaoChina Special Equipment Inspection and Research Institute, Beijing 100029, China.
Yuhang LiInstitute of Solid Mechanics, Beihang University, Beijing 100191, China.
Tomoyuki YokotaDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.ORCID 0000-0003-1546-8864
Takao SomeyaDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.ORCID 0000-0003-3051-1138
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong.ORCID 0000-0003-0522-1171

Funding

111 Center B18002City University of Hong Kong (CityU) 9667221City University of Hong Kong (CityU) 9678274City University of Hong Kong (CityU) 9680322Japan Society for the Promotion of Science 22K21343National Natural Science Foundation of China-Guangdong Joint Fund 62122002Research Grants Council of the Hong Kong Special Administrative Region 11211523Research Grants Council of the Hong Kong Special Administrative Region 11213721Research Grants Council of the Hong Kong Special Administrative Region 11215722Research Grants Council of the Hong Kong Special Administrative Region RFS2324-1S03Shenzhen Science and Technology Innovation Commission SGDX20220530111401011State Administration for Market Regulation Science and Technology Plan Project 2023MK201the National Natural Science Foundation of China 12372160the National Natural Science Foundation of China U23A20111
6 · The paper itself

Abstract

Gustation is one of the five innate sensations for humans, distinguishing from vision, auditory, tactile, and olfaction, as which is a close and chemically induced sense. Despite the fact that a handful of gustation display technologies have been developed, the new technologies still pose significant challenges in miniaturization of the overall size for portability, enriching taste options within a limited working area, supporting natural human-device interaction, and achieving precisely controlled taste feedback. To address these issues, here, we report a set of intelligent and portable lollipop-shaped taste interfacing systems covering from 2 to 9 different taste options for establishing an adjustable taste platform in virtual reality (VR), augmented reality (AR), and mixed reality (MR) environments. Tasteful and food-grade chemicals embedded agarose hydrogels serve as taste sources based on iontophoresis operation principle, with an adjustable feedback intensity and independent operation time by tuning the voltage input. To achieve portability and user-friendly operation, the devices are miniaturized into a gustation interface with 9-channel taste generators in the dimension of 8 cm × 3 cm × 1 cm. To realize both gustation and olfaction feedbacks in Metaverse, an olfaction interface based on 7-channel odor generators is also introduced into the gustation interface system. As a result, the demonstrations of our gustation interface systems in intelligent medical gustation assessment, remote shopping, and mixed reality have proven their advances and great progress in various potential application areas, ranging from human-machine interfaces, to biomedical science, and to entertainment.

Indexed as

Augmented RealityTasteVirtual RealityHumansHydrogelsMiniaturizationSmellUser-Computer InterfaceHydrogelsgustation assessmentgustation interfacehuman machine interfacesmixed realityportable electronics

Identifiers

PMID39585986
PMCPMC11626159

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.