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Qingchuan Li

Biographic Data

ID7944721
NAMEQingchuan Li
GIVEN NAMESQingchuan
FAMILY NAMELi
SIGNATURELI Q
AFFILIATIONSHarbin Institute of Technology
ORCID0000-0001-9915-2589
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Designing for Mindfulness

    Open Access•Yuanlinxi Li, Qingchuan Li•ARTICLE•Mindfulness•2026

  • An experimental study on embodiment forms and interaction modes in affective robots for anxiety relief and emotional connection

    Open Access•Jun Zhang, Yunlu Ding et al.•ARTICLE•International Journal of…•2025

    Affective robots can elicit psychological responses such as attachment and intimacy, which may help alleviate anxiety and enrich users’ emotional experiences. While such robots can take the form of agents (controlled by algorithms) or avatars (controlled by humans or animals), the differential effects of these embodiment forms on users’ emotional responses remain underexplored, particularly in scenarios where avatars are controlled by animals. In…

  • Understanding college students’ cross-device learning behavior in the wild

    Open Access•Qingchuan Li, Xu Zhao et al.•ARTICLE•Computers & Education•2025

  • Experiencing the body as play

    Open Access•Qingchuan Li, Simin Yang•ARTICLE•Computers in Human Behavior•2024

  • Measuring and classifying students' cognitive load in pen‐based mobile learning using handwriting, touch gestural and eye‐tracking data

    Open Access•Qingchuan Li, Yan Luximon et al.•ARTICLE•British Journal of Educational…•2024

    Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen‐based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real‐time cognitive load. The results found that it was a promising method to predict learners' cognitive load by ana…

  • Seeking medical advice in mobile applications

    Open Access•Jiaxin Zhang, Yan Luximon et al.•ARTICLE•Computers in Human Behavior•2022

  • Healthcare at Your Fingertips

    Open Access•Qingchuan Li•ARTICLE•International Journal of…•2020

    Mobile health (mHealth) services have recently been receiving increasing attention. However, there is a lack of knowledge about how users accept and adopt mobile medical treatment (MMT) services, some of the most promising mHealth services that aim to extend the patient-physician relationship beyond the conventional clinic environment. To fill this research gap, this study proposes a research model for predicting consumers' acceptance behavior to…

No prominent works on this page.

  • Healthcare at Your Fingertips

    Open Access•Qingchuan Li•ARTICLE•International Journal of…•2020

    Mobile health (mHealth) services have recently been receiving increasing attention. However, there is a lack of knowledge about how users accept and adopt mobile medical treatment (MMT) services, some of the most promising mHealth services that aim to extend the patient-physician relationship beyond the conventional clinic environment. To fill this research gap, this study proposes a research model for predicting consumers' acceptance behavior to…

  • Seeking medical advice in mobile applications

    Open Access•Jiaxin Zhang, Yan Luximon et al.•ARTICLE•Computers in Human Behavior•2022

  • Experiencing the body as play

    Open Access•Qingchuan Li, Simin Yang•ARTICLE•Computers in Human Behavior•2024

  • Measuring and classifying students' cognitive load in pen‐based mobile learning using handwriting, touch gestural and eye‐tracking data

    Open Access•Qingchuan Li, Yan Luximon et al.•ARTICLE•British Journal of Educational…•2024

    Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen‐based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real‐time cognitive load. The results found that it was a promising method to predict learners' cognitive load by ana…

  • An experimental study on embodiment forms and interaction modes in affective robots for anxiety relief and emotional connection

    Open Access•Jun Zhang, Yunlu Ding et al.•ARTICLE•International Journal of…•2025

    Affective robots can elicit psychological responses such as attachment and intimacy, which may help alleviate anxiety and enrich users’ emotional experiences. While such robots can take the form of agents (controlled by algorithms) or avatars (controlled by humans or animals), the differential effects of these embodiment forms on users’ emotional responses remain underexplored, particularly in scenarios where avatars are controlled by animals. In…

  • Understanding college students’ cross-device learning behavior in the wild

    Open Access•Qingchuan Li, Xu Zhao et al.•ARTICLE•Computers & Education•2025

  • Designing for Mindfulness

    Open Access•Yuanlinxi Li, Qingchuan Li•ARTICLE•Mindfulness•2026

Computer Science (6 works) · Psychology (6 works) · Human–computer interaction (4 works) · Artificial Intelligence (3 works) · Anxiety (2 works) · Business (2 works) · Cognitive psychology (2 works) · Internet privacy (2 works) · Mobile Learning in Education (2 works) · Multimedia (2 works)

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