XR & Situated Interaction
Exploring immersive and spatial interfaces that respond to people's activity, context, and intent while preserving agency and presence.
Building interactive systems
around lived experience.
B.Eng. Student · Hunan University
Research Assistant · CUHK-Shenzhen
I am an undergraduate student in Industrial Design at Hunan University and a Research Assistant at The Chinese University of Hong Kong, Shenzhen.
My work sits at the intersection of human-computer interaction, extended reality, and human-centered intelligent systems. I study how interactive technologies can understand the situations people are in and provide support that is timely, comprehensible, and under meaningful human control.
Across health and education, I combine formative research, co-design, end-to-end prototyping, and user studies. My recent projects range from sensor-based respiratory training for children to patient-controlled VR experiences for dental anxiety, with a shared focus on agency, learning, and real-world use.
hehaofan@hnu.edu.cn ↗Exploring immersive and spatial interfaces that respond to people's activity, context, and intent while preserving agency and presence.
Designing intelligent support that is useful in practice, understandable to its users, and grounded in real situations rather than technology alone.
Supporting patients, caregivers, and clinicians through interactive systems that make care more understandable, controllable, and engaging.
Creating interactive, embodied, and playful experiences that help people understand complex knowledge and practise skills through action.
Connecting physiological, behavioral, and environmental signals with people's accounts of their experience to inform adaptive interaction.
How I work · Formative studies · Stakeholder research · Co-design · Research through Design · XR and sensor-based prototyping · Mixed-method user studies
An end-to-end interactive system for children's respiratory training
How can embodied, playful interaction support children's respiratory training and inhaler use? HIHOBOT combines a child-friendly robot, breathing-controlled games, MediaPipe pose recognition, and airflow sensing to provide step-by-step guidance and real-time feedback.
Conducted literature review and stakeholder research; translated formative findings into interaction requirements; designed HCI/HRI and gamified experiences; integrated pose recognition and airflow sensing for respiratory interaction.
Stakeholder research with 20 medical staff and 26 caregiver–child dyads informed the system's interaction requirements. The design connects respiratory training, medication guidance, and sensor-based feedback in a playful experience.
HRI · Physical computing · Gamification · Stakeholder research
The Chinese University of Hong Kong, Shenzhen · 2026
Event-contingent VR for dental anxiety
This research investigates how an immersive system can recognise meaningful moments in a care experience and respond with the right form of support. Five predefined Anxiety Events are paired with procedural guidance, sensory adjustment, breathing regulation, and emotional support, alongside always-available patient controls.
Contributed to formative stakeholder research, co-design, iterative VR prototyping, and mixed-method evaluation; helped translate event-level insights into system interventions and connect self-report, physiological, behavioral, and interview data.
The study combines interviews with 36 stakeholders, participatory design with three dentists, patient walkthroughs with 12 participants, and a randomized study with 24 participants. Evaluation brings together self-reported anxiety, physiological measures, behavioral interaction data, and qualitative interviews.
The findings concern the complete support package in simulated dental VR; they do not establish clinical effectiveness or the effects of individual modules.
Virtual reality · Context-aware support · Emotion regulation · Patient agency · Mixed methods
Patient-controlled VR preparation for dental treatment
Knowing what will happen is different from knowing what it may feel like. This Research through Design study explores how immersive rehearsal can support learning about a future experience through action, with control over pace, sensory intensity, and the information patients receive.
Contributed across the Research through Design process—from event-level mapping and an informational design probe to a patient-controlled VR prototype and user evaluation—connecting formative insights with interaction decisions.
A three-phase process moves from an Anxiety Event Map to a web-based informational probe and an immersive rehearsal prototype. Patient controls include Pause, Stop, Explain, Hide, Reduce, and Replay.
The work develops the concept of Rehearsable Care: preparation that enables patients to encounter, negotiate, and articulate future healthcare experiences.
Research through Design · Experiential rehearsal · Skill and knowledge preparation · Negotiable fidelity · Patient agency
Xiaoyu Xie, Haofan He, Yixian Lan, and Suya Zhang
Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)
DOI: 10.1145/3772363.3798596CHI 2027 Full Paper · Under review · Second author
Investigates event-contingent VR support for specific anxiety-provoking moments during dental treatment, combining procedural guidance, sensory adjustment, breathing regulation, emotional support, and patient-controlled safety mechanisms.
CHI 2027 Full Paper · Under review · Second author
Explores how patient-controlled immersive rehearsal can complement conventional information-based preparation by allowing people to encounter, adjust, and communicate selected aspects of a future dental experience before treatment.
B.Eng. in Industrial Design
Expected graduation: June 2027 · GPA: 87.08 / 100
Selected coursework
Human-Computer Interaction Design · Creative Programming · Internet Technology and Service Design · Industrial Design Modeling
Formative studies, semi-structured interviews, questionnaires, co-design, qualitative analysis, usability testing, and mixed-method user studies.
Unity · Arduino · MediaPipe · Python · HTML / CSS / JavaScript · Figma · Rhino · KeyShot · Blender
Chinese — Native
English — Fluent · IELTS 7.0