哈尔滨工业大学 · 未来设计学院(深圳)

Creating Human-Centered Experiences with Intelligent Technologies

About

我们研究人如何感知、理解、信任并使用智能系统,面向智慧学习、数字健康、适老交互与未来出行等场景,探索以人为本的交互机制与体验设计。

Latest Updates

May 2026

团队论文发表于 SSCI 一区期刊 Mindfulness

团队论文 “Designing for Mindfulness: Investigating College Students' Preferences and Acceptance of Virtual Reality-Based Digital Mindfulness Tools” 在 SSCI 一区期刊 Mindfulness 上成功发表,博士生李原林夕为第一作者。

Apr 2026

团队论文发表于 CHI 2026 国际人机交互顶级会议

团队论文 “Harmonizing the Senses: Designing a Cross-Modal Interactive Art System to Enhance Older Adults' Affective Experiences” 在 CHI 2026 成功发表,并于西班牙巴塞罗那作主题演讲。已毕业硕士生安思翰为第一作者。

Jan 2026

团队论文被 International Journal of Human-Computer Interaction 录用

团队论文 “Creative Pathways: Understanding the Acceptance of Technology for Digital Arts-Based Activities Among Older Chinese Adults with Mild Cognitive Impairment” 被 SCI/SSCI 一区期刊 International Journal of Human-Computer Interaction 录用,已毕业硕士生安思翰为第一作者。

研究方向

01

人机交互与用户体验

关注交互系统在真实使用情境中的可用性、体验质量与评估方法。

02

智能技术与设计研究

研究人们如何理解、信任、协作和反思智能系统。

03

混合现实与协同体验

构建和评估用于协作、配置、决策与共享体验的 MR/VR 原型。

04

设计教育与创新方法

探索设计能力培养、共创框架、课程设计与设计研究方法。

aging inclusive-hci

Age-Friendly and Inclusive Interaction

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.

digital-health trustworthy-ai

Digital Health, Trust, and Empathetic AI

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.

learning-analytics multimodal-data

Intelligent Learning Environments and Multimodal Analytics

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.

embodied-interaction human-ai-creativity

Embodied, Affective, and Human-AI Creative Interaction

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

The influence of anthropomorphic cues on patients’ perceived anthropomorphism, social presence, trust building, and acceptance of health care conversational agents

Q Li, Y Luximon, J Zhang

International Journal of Design · 2018 · 91 citations

Understanding older adults’ post-adoption usage behavior and perceptions of mobile technology

Q Li, Y Luximon

Computers in Human Behavior · 2022 · 83 citations

Seeking medical advice in mobile applications: how social cue design and privacy concerns influence trust and behavioral intention in impersonal patient-physician interactions

J Zhang, Y Luximon, Q Li

International Journal of Environmental Research and Public Health · 2020 · 66 citations

Healthcare at your fingertips: the acceptance and adoption of mobile medical treatment services among Chinese users

Q Li

British Journal of Educational Technology · 2024 · 25 citations

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

Q Li, Y Luximon, J Zhang, Y Song

Computers & Education · 2025 · 4 citations

Understanding college students’ cross-device learning behavior in the wild: Device ecologies, physical configurations, usage patterns, and attention issues

Q Li, Z Xu, Y Chen

Computers in Human Behavior · 2024 · 12 citations

Experiencing the body as play: Cultivating older adults’ exergame experiences using embodied metaphors and multimodal feedback

Q Li, S Yang

CHI Conference on Human Factors in Computing Systems · 2026 · 1 citation

Harmonizing the Senses: Designing a Cross-Modal Interactive Art System to Enhance Older Adults’ Affective Experiences

SH An, Y Wu, Z Zhang, Y Li, M Jiang, J Zhang, Q Li

Mindfulness · 2026

Designing for Mindfulness: Investigating College Students’ Preferences and Acceptance of Virtual Reality-Based Digital Mindfulness Tools

Y Li, Q Li

International Journal of Human-Computer Interaction · 2026

Creative Pathways: Understanding the Acceptance of Technology for Digital Arts-Based Activities Among Older Chinese Adults with Mild Cognitive Impairment

S An, Y Li, Q Li

研究团队

李晴川 Qingchuan Li

Principal Investigator · Future Design School, Harbin Institute of Technology, Shenzhen

博士研究生

  • 2026届李原林夕

硕士研究生

  • 2026届王翌宁 张雅鑫
  • 2025届郭景奥
  • 2024届韩梓达 吴一凡 彭凌钰 钱月凯 马一含 范可 N Goran Damoh Wilfried Qasim Faizan
  • 2023届王欣怡 陈灿 张子涵 李原林夕 王玉琪
  • 2022届胥曌 安思翰
  • 2021届杨思敏

欢迎加入或合作

欢迎对人机交互、智能系统、用户体验、混合现实与设计研究感兴趣的学生和研究者联系。

  • 硕士研究项目
  • 本科生科研训练
  • 跨学科合作
  • 访问学生机会

Contact

哈尔滨工业大学未来设计学院(深圳)

liqingchuan@hit.edu.cn