Evidence map›Paper›PMID 40864724›Full record

ArticleScience advances2025

Bioinspired adaptive response speed for high-quality human-robot interactions.

Zijuan He, Haigen Xiong, Qijie Lin, Song Wang, Fengjiao Zhang, Yinghui Han, Hao Chen, Hui Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 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

8 authors.

Zijuan HeCollege of Materials Science and Opto-Electronic Technology Center of Materials Science and Optoelectronics Engineering CAS Center for Excellence in Topological Quantum Computation CAS Key Laboratory of Vacuum Physics, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0009-0001-7347-0463
Haigen XiongCollege of Materials Science and Opto-Electronic Technology Center of Materials Science and Optoelectronics Engineering CAS Center for Excellence in Topological Quantum Computation CAS Key Laboratory of Vacuum Physics, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0009-0003-7552-0991
Qijie LinCollege of Materials Science and Opto-Electronic Technology Center of Materials Science and Optoelectronics Engineering CAS Center for Excellence in Topological Quantum Computation CAS Key Laboratory of Vacuum Physics, University of Chinese Academy of Sciences, Beijing 100049, China.
Song WangCollege of Materials Science and Opto-Electronic Technology Center of Materials Science and Optoelectronics Engineering CAS Center for Excellence in Topological Quantum Computation CAS Key Laboratory of Vacuum Physics, University of Chinese Academy of Sciences, Beijing 100049, China.
Fengjiao ZhangSchool of Chemical Sciences, University of Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-5088-1780
Yinghui HanCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China.ORCID 0000-0002-2167-7024
Hao ChenCollege of Materials Science and Opto-Electronic Technology Center of Materials Science and Optoelectronics Engineering CAS Center for Excellence in Topological Quantum Computation CAS Key Laboratory of Vacuum Physics, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0009-0008-9885-0623
Hui HuangCollege of Materials Science and Opto-Electronic Technology Center of Materials Science and Optoelectronics Engineering CAS Center for Excellence in Topological Quantum Computation CAS Key Laboratory of Vacuum Physics, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0000-0002-6102-2815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In human-robot interaction (HRI), the quality of user experience is paramount. Thus, developing strategies to tailor robotic responsiveness to user comfort zone is essential. However, current methods remain constrained by complex software and limited to unidirectional speed enhancement. Inspired by the adaptive pathways of biological brain, this study introduces a photochromic diarylethene-doped organic floating-gate field-effect transistor (OFGFET) capable of bidirectional response speed control. Mechanism investigations revealed that a light-controllable back charge transfer process facilitates dynamic speed adjustments. Notably, the OFGFET device potentially enables effective regulation of response speeds to enhance user comfort while maintaining efficient and detailed movie playback. This work establishes a distinctive paradigm in HRI, offering unprecedented adaptability that could transform user experience design across diverse interactive technologies.

Indexed as

RoboticsHumansTransistors, Electronic

Identifiers

PMID40864724
PMCPMC12383269

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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.