Harbin Institute of Technology · Future Design School · Shenzhen
I am Qingchuan Li, a design researcher working across human-computer interaction, user experience, intelligent technologies, mixed reality, and design education.
About
My research is grounded in design, human-computer interaction, and user experience. I study interactive and intelligent systems in real-world contexts, with attention to usability, trust, collaboration, learning, and responsible design.
Current work spans generative AI and human-AI collaboration, mixed reality experience, external human-machine interaction for automated vehicles, design education, and user-centered research methods.
Our team’s paper “Designing for Mindfulness: Investigating College Students' Preferences and Acceptance of Virtual Reality-Based Digital Mindfulness Tools” was published in Mindfulness, an SSCI Q1 journal. PhD student Yuanlinxi Li is the first author.
Our team’s paper “Harmonizing the Senses: Designing a Cross-Modal Interactive Art System to Enhance Older Adults' Affective Experiences” was published at CHI 2026 and presented in Barcelona, Spain. Graduated master’s student Sihan An is the first author.
Our team’s paper “Creative Pathways: Understanding the Acceptance of Technology for Digital Arts-Based Activities Among Older Chinese Adults with Mild Cognitive Impairment” was accepted by International Journal of Human-Computer Interaction, an SCI/SSCI Q1 journal. Graduated master’s student Sihan An is the first author.
Usability, experience quality, and evaluation of interactive systems in authentic use contexts.
How people understand, trust, collaborate with, and reflect on intelligent systems.
MR/VR prototypes for collaboration, configuration, decision-making, and shared experience.
Design capability development, co-creation frameworks, curriculum design, and research methods.
This research line explores how older adults perceive, adopt, and interact with digital and intelligent technologies. We investigate mobile interaction behavior, navigation challenges, smart healthcare experiences, home healthcare robots, digital art therapy, and embodied exergame interaction. Through user studies, behavioral experiments, and interface evaluation, we aim to develop age-friendly and inclusive interaction principles that support usability, trust, engagement, and meaningful technology use in later life.
This project examines how trust, empathy, social cues, and communication styles shape users' acceptance of digital health services and intelligent care systems. Our studies cover mobile medical consultations, healthcare conversational agents, diabetes self-management chatbots, and chronic disease support systems. By combining surveys, experiments, interviews, and large-scale online data analysis, we seek to understand how AI-mediated health technologies can provide more trustworthy, empathetic, and supportive care experiences.
This research investigates how students learn across digital, physical, and multi-device environments. We study cross-device learning behavior, cognitive load in pen-based mobile learning, intelligent advisory systems, ambient learning displays, online collaborative design, and VR-supported design education. Using field studies, behavioral experiments, eye tracking, handwriting data, gesture data, and multimodal learning analytics, we aim to design learning technologies that better support attention, collaboration, reflection, and meaningful learning.
This project focuses on how embodied interaction, affective experience, multisensory feedback, and human-AI collaboration shape emerging forms of interaction and creativity. Our work includes embodied metaphors and multimodal feedback in exergames, cross-modal interactive art, affective robots, VR-based mindfulness tools, AI-assisted cultural heritage workflows, and generative AI for speculative design. We aim to explore how intelligent and immersive technologies can support emotional engagement, creative expression, cultural meaning-making, and human-centered experience design.
Journal of Medical Internet Research · 2023 · 88 citations
International Journal of Design · 2018 · 91 citations
Computers in Human Behavior · 2022 · 83 citations
International Journal of Environmental Research and Public Health · 2020 · 66 citations
British Journal of Educational Technology · 2024 · 25 citations
Computers & Education · 2025 · 4 citations
Computers in Human Behavior · 2024 · 12 citations
CHI Conference on Human Factors in Computing Systems · 2026 · 1 citation
Mindfulness · 2026
International Journal of Human-Computer Interaction · 2026
Principal Investigator · Future Design School, Harbin Institute of Technology, Shenzhen
We welcome students and collaborators interested in human-computer interaction, intelligent systems, user experience, mixed reality, and design research.