01HUMAN–AI INTERACTION
AI-PPT Tutor
An evidence-grounded learning workspace, paired with a 36-participant study of grounding and source attribution.
COMPUTER SCIENCE · HUMAN–AI INTERACTION
Building human-centred
AI, from idea to evidence.
I’m Bingxu, a Computer Science & Artificial Intelligence undergraduate at the University of Nottingham Ningbo China. I turn real needs into useful software—and research how people experience it.
01 / SELECTED WORK
Ideas, made useful.
Built with care. Tested in the real world.
02LOCAL-FIRST SOFTWARE
Vocab Glance
A quieter way to learn vocabulary. Native macOS and iOS software with glanceable learning, widgets, and local-only storage.
03UNIVERSITY DIGITAL SERVICES
CELE Information Hub
A bilingual information hub for nearly 1,000 students and staff, bringing an eight-week university programme into one clear place.
04RESEARCH COMMUNICATION
i²Lab
A bilingual home for an interaction research lab—connecting its people, publications, technology, and opportunities.
More things I’m building
COMPUTER VISION
Video-driven 2D Digital Twin
Turning indoor video into a metric floor plan: door geometry, scale anchoring, and multi-view bird’s-eye-view fusion.
LOCAL-FIRST SOFTWARE
Connection Atlas
A private relationship map with multi-layer connections, shortest paths, and portable JSON backups—all stored in the browser.
CAMPUS SOFTWARE
Zest U
A campus encyclopedia inside a WeChat mini program, with searchable topics and traceable policy information.
02 / RESEARCH
Questions worth investigating.
Selected manuscripts & ongoing work
Submitted to IHCI 2026 · Decision pending
Effects of Evidence Grounding and Source Attribution in Generative AI Tutors: A 2×2 Factorial Study
A controlled study with 36 university participants investigating how grounding and attribution interact in perceived trust, user experience, and learning.
Manuscript submitted
Artificial Intelligence-enabled Adaptation in Rehabilitation Games: A Systematic Review
A PRISMA-guided review of AI-driven adaptation in rehabilitation games, synthesising 32 studies across methods, applications, and evidence quality.
Manuscript in progress
Patient-Facing VR in Gynecologic and Related Reproductive Procedures — Scoping Review
Mapping patient-facing VR in procedural care, with contributions to research questions, search strategy, review design, and evidence extraction.
Research and role statuses reflect the source record as of 29 August 2026. Submitted does not mean accepted.
Research in practice
Mar – Sep 2026
Merlin’s Spellbook
Research assistant & experimenter
Personally conducted 19 experimental sessions with datasets, interviews, and observations for a study comparing comic-enhanced learning materials with PPT and recordings. My assigned contribution is complete.
Apr – May 2026
Digital Resilience Project
Student researcher
One of 20 cross-faculty student partners. Conducted four faculty interviews and prepared a report on teaching resilience following the 2025 Moodle outage.
03 / EXPERIENCE
Contributing beyond the code.
Starting Sep 2026
AI Agent Trainer Intern
IncomingIT Services · UNNC
Selected for an upcoming internship. Planned work includes agent orchestration, knowledge-base governance, dialogue design, and cross-department validation.
Jun – Jul 2026
Algorithm Intern
Ningbo Shuotong Embodied Intelligence / Research Fun
Worked on affective-computing literature research, comparative experiments, data organisation, model tuning, and technical documentation. Contributed to a team solution awarded Third Prize in the municipal “Data Elements ×” competition.
Jul 2026
Intern · Website Designer, Developer & Maintainer
Centre for English Language Education · UNNC
Independently delivered and maintained the bilingual CELE Information Hub for nearly 1,000 students and staff in the 2026 eight-week Pre-Sessional programme.
Sep 2025
Administrative Intern
The Hub · UNNC
Supported welcome logistics and registration for domestic and international students.
04 / ABOUT
Curious about people. Serious about making things work.
I enjoy the whole journey: framing a question, building something people can use, and finding out what actually works. My work spans AI learning tools, human-subject research, digital-health reviews, computer vision, and local-first software. Across them, I care about making systems easier to understand, verify, and use.
Human–AI InteractionTrustworthy AILearning TechnologiesDigital HealthComputer Vision
Education
University of Nottingham Ningbo China
BSc Computer Science and Artificial Intelligence
Sep 2024 – Jun 2028 (expected)
Entering Year 3 in September 2026
Year 1: GPA 4.0/4.0 · 82/100 weighted average. Year 2: GPA 3.8/4.0.
Li Yip Yio Chin Scholarship · RMB 70,000 per academic year
IELTS 7.0 · Reading 9.0
Build
Python · Java · JavaScript · SQL · Swift / SwiftUI · React / Next.js · Git
Investigate
Factorial experiments · UEQ · S-TIAS · Interviews · PRISMA · Evidence synthesis
Explore
LLM APIs · Evidence retrieval · OCR · Computer Vision · BEV · Multi-view fusion
Community & engagement
Sep 2024 – Present
Learning Community Forum
Computer Science student representative, bringing student feedback on courses, assessments, workload, and support to the faculty forum.
Apr 2025
CELE AI-sharing
Invited speaker on accessible AI tools for learning and productivity, for a non-technical audience.
NEXT / LET’S TALK
Have a question, a project, or an opportunity?
I’m looking towards Summer 2027 internships and research opportunities. If my work connects with yours, I’d be glad to hear from you.