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Jian Teng

Dados Biográficos

ID9560041
NOMEJian Teng
PRENOMESJian
SOBRENOMETeng
ASSINATURATENG J
AFILIAÇÕESLingnan Normal University
ORCID0000-0003-1876-989X
VERIFICADOSim
TOTAL DE OBRAS5
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2023
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • Enhancing Aigc credibility assessment in higher education

    Jian Teng, Sukyoung Cho•ARTICLE•Interactive Learning Environments•2026

    This study extends the foundational work of Cui and Zhang (2025. Can student accurately identify artificial intelligence generated content? An exploration of AIGC credibility from user perspective in education. Education and Information Technologies, 30 (12), 16321–16346. https://doi.org/10.1007/s10639-025-13448-1) by examining AI-generated content (AIGC) credibility assessment among 286 higher education students across three Chinese universities…

  • Enhancing user experience in virtual reality through BCI-modulated pseudo-haptic feedback

    Jian Teng, Sukyoung Cho et al.•ARTICLE•Behaviour and Information…•2026

    This study investigates the integration of brain-computer interface (BCI) technology with pseudo-haptic feedback to enhance adaptive interactions in virtual reality (VR). Using a NeuroSky headset, we developed a dual-layer control system combining blink detection (via SVM classifier) and attention-level modulation to operate 16 pseudo-haptic button configurations. Manifold learning (UMAP) and wavelet analysis revealed that sustained attention (>7…

  • Investigating users’ acceptance of AI-based creativity support tools

    Open Access•Jing Liu, Jinzhi Zou et al.•ARTICLE•Current Psychology•2025

  • Research on the innovation of early warning mechanisms of major public health emergencies for poverty alleviation and marginal populations

    Open Access•Haitang Huang, Jian Teng et al.•ARTICLE•Frontiers in Public Health•2024

    Poverty alleviation is critical for sustainable development. Establishing a major public health emergency warning and prevention mechanism for poverty alleviation and marginal populations can effectively determine the overall risk situation and primary risk components in diverse regions. It is conducive to formulate specific policies for risk prevention and control of public health emergencies to prevent the occurrence of poverty relapses. Expert…

  • Machine learning-based cognitive load prediction model for AR-HUD to improve OSH of professional drivers

    Open Access•Jian Teng, Fucheng Wan et al.•ARTICLE•Frontiers in Public Health•2023

    Motivation: Augmented reality head-up display (AR-HUD) interface design takes on critical significance in enhancing driving safety and user experience among professional drivers. However, optimizing the above-mentioned interfaces poses challenges, innovative methods are urgently required to enhance performance and reduce cognitive load. Description: A novel method was proposed, combining the IVPM method with a GA to optimize AR-HUD interfaces. Le…

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  • Machine learning-based cognitive load prediction model for AR-HUD to improve OSH of professional drivers

    Open Access•Jian Teng, Fucheng Wan et al.•ARTICLE•Frontiers in Public Health•2023

    Motivation: Augmented reality head-up display (AR-HUD) interface design takes on critical significance in enhancing driving safety and user experience among professional drivers. However, optimizing the above-mentioned interfaces poses challenges, innovative methods are urgently required to enhance performance and reduce cognitive load. Description: A novel method was proposed, combining the IVPM method with a GA to optimize AR-HUD interfaces. Le…

  • Research on the innovation of early warning mechanisms of major public health emergencies for poverty alleviation and marginal populations

    Open Access•Haitang Huang, Jian Teng et al.•ARTICLE•Frontiers in Public Health•2024

    Poverty alleviation is critical for sustainable development. Establishing a major public health emergency warning and prevention mechanism for poverty alleviation and marginal populations can effectively determine the overall risk situation and primary risk components in diverse regions. It is conducive to formulate specific policies for risk prevention and control of public health emergencies to prevent the occurrence of poverty relapses. Expert…

  • Investigating users’ acceptance of AI-based creativity support tools

    Open Access•Jing Liu, Jinzhi Zou et al.•ARTICLE•Current Psychology•2025

  • Enhancing Aigc credibility assessment in higher education

    Jian Teng, Sukyoung Cho•ARTICLE•Interactive Learning Environments•2026

    This study extends the foundational work of Cui and Zhang (2025. Can student accurately identify artificial intelligence generated content? An exploration of AIGC credibility from user perspective in education. Education and Information Technologies, 30 (12), 16321–16346. https://doi.org/10.1007/s10639-025-13448-1) by examining AI-generated content (AIGC) credibility assessment among 286 higher education students across three Chinese universities…

  • Enhancing user experience in virtual reality through BCI-modulated pseudo-haptic feedback

    Jian Teng, Sukyoung Cho et al.•ARTICLE•Behaviour and Information…•2026

    This study investigates the integration of brain-computer interface (BCI) technology with pseudo-haptic feedback to enhance adaptive interactions in virtual reality (VR). Using a NeuroSky headset, we developed a dual-layer control system combining blink detection (via SVM classifier) and attention-level modulation to operate 16 pseudo-haptic button configurations. Manifold learning (UMAP) and wavelet analysis revealed that sustained attention (>7…

Computer Science (2 obras) · Medicine (2 obras) · Virtual Reality Applications and Impacts (2 obras) · Actuarial science (1 obras) · Agricultural risk and resilience (1 obras) · Artificial Intelligence (1 obras) · Augmented reality (1 obras) · Augmented Reality Applications (1 obras) · Business (1 obras) · China (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae