Sau-Chin Chen is an associate professor at the Department of Human Development and Psychology at Tzu-Chi University since 2017. From February 2016 to January 2017, he was a visiting researcher at the Department of Psychology at Erasmus University Rotterdam, collaborating with Rolf Zwaan on mental simulation in language comprehension.
Since 2017, he has been involved with the Psychological Science Accelerator, contributing to collaborative research projects like “object orientation effects across languages”. He manages the podcast “open cafe” and leads the “Taiwan Collaboration for Psychological Scientific Research” community, aiming to promote open and reproducible sciences in Taiwan and Chinese-speaking societies.
Chen has participated in the COS Ambassador project and is a member of The Society for the Improvement of Psychological Science (SIPS). He is developing Chinese tutorials on open sciences and registered reports, and is interested in evaluating and improving the quality of psycholinguistic research.
His primary research interests include language comprehension, word reading, and open sciences. He holds a PhD in Psychology from National Chung Cheng University (2004) and a BSc in Psychology from National Chengchi University (1998).
PhD in Psychology, 2004
National Chung Cheng University
BSc in Psychology, 1998
National Chengchi University
Responsibilities include:
A note-app-integrated literature workflow that turns a PDF, URL, or topic into structured Markdown slides and Zettelkasten cards.
A local Ollama-API-compatible proxy that routes LLM inference requests to TWCC CCS containers.
Lecture slides for the 2026 basic statistics course at Tzu-Chi University’s Department of Human Development and Psychology.
Traditional Chinese translation of Navarro and Foxcroft’s open textbook Learning Statistics with jamovi, built with Quarto.
A personal English writing co-pilot for Claude Code, applying Steven Pinker’s cognitive-style principles to reduce reader effort in academic prose.
A minimal Obsidian vault template demonstrating the Annotation-Connection-Thought knowledge workflow, powered by Claude Code skills.
A minimal Obsidian vault that converts academic PDFs into structured Annotation notes with AI-generated Zettelkasten cards.
A multi-author response to proposals to redefine statistical significance at p ≤ .005, arguing instead for transparent justification of alpha levels.
A Psychological Science Accelerator multi-lab study testing whether readers mentally simulate the orientation of objects described in sentences, across 14 languages.
An open-source textbook covering experimental psychology methods, built with R Markdown and booktem.
A growing OSF collection of experimental psychology course projects taught at Tzu-Chi University across multiple years.
Demonstration materials and exercise modules on OSF, companion resources to the online statistics textbook for psychological science.
A collaborative Chinese translation project for Daniël Lakens' Coursera course, making its statistical inference materials available to Chinese-speaking learners.
When we are reading the sentences describing the status of objects, such as ‘The painter is cleaning his brush’, how our minds catch the details? This issue has been explored longer than a decade since the match advantages of sentence-picture verification task have been robustly replicated across shape, color, size and orientation. The sentence-picture verification task requires the participants read the sentence then verify the target picture. When the target picture match the visual feature implied by the sentence, the reponses are usually faster than the pictures that mismatch the implied visual feature.