Visit the website · Explore the Emo-FilM reading map
A bilingual introduction to my research experience in cognitive science and AI, with a published CogSci 2025 paper and interactive, source-linked literature notes.
| Resource | Contents |
|---|---|
| Academic homepage | Research interests, publication, experience and contact information. |
| Emo-FilM interactive map | Fifty retained measurement items, scale endpoints, and the data selections and findings of subsequent studies. |
| Hong Kong research atlas | Six universities, seven cognition and brain research groups, degree routes, representative work and source-linked application requirements. |
| CogSci 2025 paper | Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison. |
index.html,assets/: bilingual homepage and local visual assets.emofilm/: independent interactive reading map, item atlas and source notes.hk-research/: public-source university, research-degree and laboratory comparison; evidence coverage and uncertainties are recorded per source.paper/: publication PDF.research_overview.json: a curated public overview of research topics.
GitHub Pages serves the main branch at the repository root. No build framework, login, analytics or external font service is required.
For a local preview, run python3 -m http.server 8766 --bind 127.0.0.1 in this directory, then open http://127.0.0.1:8766/.
The CogSci figure excerpts come from the linked paper, without AI-generated changes. The Emo-FilM visualization is a literature interpretation, not a new empirical study; it links to primary sources and explicitly marks scale interpretations, preprint versions and limitations. No experiment code, participant-level dataset or new license for third-party work is implied by hosting the page.
Reviewed 21 October 2026.