cv
Basics
| Name | Hung-Chun Chang |
| Label | M.S. Student in Psychology, National Taiwan University |
| jonathanchang9@gmail.com | |
| Url | https://hungchunchang.github.io |
| Summary | I study whether computational models of learners hold up against real learning data, with a focus on LLM-based simulated students, and I build the tutoring systems and social robots I run those studies in. |
Research interests
- Human learning: how people — scientists included — form concepts, and how the concepts we hold shape what we measure and notice.
- Learner modeling: simulated students, construct validity, and comparing model and human learning.
- Human-computer interaction: tutoring systems and social robots for education and older adults, built both as tools and as testbeds for learning research.
Work
-
2026.06 - 2026.08 Research Intern
Learning and Educational Technologies Research Unit, Kyoto University
Prof. Hiroaki Ogata, Prof. Chia-Yu Hsu; Academic Center for Computing and Media Studies.
- Initiated the collaboration and secured the placement independently, funded by the International PhD/Master's Students Co-Advising Project.
- Led a project on the validity of simulated students, accepted at ReLEAF@ICCE 2026 (first author).
-
2026.02 - present Validity of LLMs as Simulated Students
Master's Thesis Research (in progress), Department of Psychology, National Taiwan University
Advisors: Prof. Hsiu-Ping Yueh, Prof. Feng-Ming Tsao, and Prof. Hiroaki Ogata (Kyoto University).
- Recast the validity of an ability-conditioned LLM student simulator as a nomological network of four behavioral evidences: profile–behavior consistency, fidelity of error, boundary of competence, and stateful learning.
- Tested all four concurrently against real per-tier learner data from the PSLC DataShop Fractions 2012 corpus, using zero-shot prompting and a 2×2 fine-tuning ablation (reasoning × history).
- Found that fine-tuning with reasoning and history simulated students best, yet the competence paradox persisted and the learning mechanism was not reproduced; this first part was accepted at ReLEAF@ICCE 2026 (first author).
-
2025.02 - present Teaching Assistant, Social Robotics
Department of Psychology, National Taiwan University
Prof. Hsiu-Ping Yueh.
- Led 18+ hours of TA sessions across 4 semesters: literature review, user research, prototyping, and programming for social robotic systems.
-
2022.11 - present Research Assistant
Social Lab Human-Robot Interaction Group, National Taiwan University
Prof. Hsiu-Ping Yueh, Prof. Weijane Lin; Department of Psychology.
- Designed the simulated-student evaluation for an intelligent robot tutor (Enterprise Information Systems, 2026) and the manipulation check for a robot-personality study (International Journal of Human-Computer Interaction, 2026).
- Sole developer of research systems deployed with real users in a museum, a library, and with older adults.
- Held 2 workshops on multimodal data analysis and voice-based social robots and 4 on social robot programming; mentored 3 undergraduate projects.
Education
-
2025.02 - present M.S.
National Taiwan University
Psychology
- GPA: 3.87/4.3
- Applied Linear Regression
- Experimental Design
- Neural and Behavioral Modeling
- Advanced Cognitive Neuroscience
-
2019.09 - 2025.01 B.S. in Interdisciplinary Studies of Human-Computer Interaction
National Taiwan University
University Interdisciplinary Bachelor's Program
- Minor: Psychology
- Thesis: Design and Evaluation of a Conversational Robot for the Elderly Based on Social Penetration Theory
-
2019.09 - 2025.01 B.S. in Agriculture
National Taiwan University
Department of Forestry and Resource Conservation, College of Bio-Resources and Agriculture
Publications
-
2026.12 Does an Ability-Conditioned LLM Student Simulator Hold Up as a Construct?
1st Workshop on Trustworthy Educational Data Sharing and Secondary Use: The ReLEAF Data Challenge, ICCE 2026
First author. Accepted; to appear.
-
2026 Empathic AI-Powered Cognitive Robots as Tutors: Assessing Their Impact on Learning Performance in Accelerated Learning Contexts
Educational Psychology
Fourth author. Under revision.
-
2026 Adaptive Empathy Evaluation: An Intelligent Social Robot Tutor with Multimodal Assessment
Enterprise Information Systems
Second author.
-
2026 What Makes a Robot Feel Affective? Verbal Cue Types and the Role of Agreeableness in Older Adults' Perception of Robot Personality
International Journal of Human-Computer Interaction
Second author.
-
2025.11 Assessment and Evaluation of Self-Disclosure, Application of Behavior Construct and Semantic Analysis
16th International Conference of Digital Archives and Digital Humanities (DADH 2025)
First author.
Projects
- 2025.09 - 2025.12
ECRobot, a robot tutor (sole developer)
An intelligent tutoring system with an iPad app (Swift) for handwriting input, a NAO robot (Qi Python) as voice user interface, and a FastAPI backend. Used in a between-subjects learning study.
- Instantiated prospect theory as an empathetic feedback algorithm for the robot tutor.
- Designed the student simulation pipeline and evaluation method, and wrote the first draft of the paper.
- 2025.02 - present
Social Robot Design Platform (initiator & sole developer)
A web-based end-user programming tool that implements a design language for social robot behavior, derived from developing 5 social robotic systems.
- Refined with four groups of student researchers in a research-through-design process over 6 months.
- Deployed in a laboratory experiment for over a month.
- 2025.09 - 2025.12
TouchHear, an AR assistive learning system (sole developer)
Real-time fingertip tracking on a depth camera that turns printed images into touch-responsive audio surfaces for visually impaired learners.
- Replaced the experimenter-in-the-loop step of the original protocol with automatic tracking.
- Built an authoring interface that lets non-programmers map audio to regions of any printed image.
- Designed the printed template's ArUco markers to carry both depth-plane calibration and project identity, making each sheet self-describing.
- 2024.03 - 2025.12
Companion robot for older adults
Data analysis and front-end development.
- Operationalized discourse affectiveness into measurable linguistic indicators and validated the manipulation with NLP-based checks.
- Developed the front-end app that presents the robot's responses.
- Sustained conversations averaging 15 minutes per session and 30 minutes per participant.
Awards
- 2026.06.01
International PhD/Master's Students Co-Advising Project (NT$250,000)
National Taiwan University
Funded a three-month residency at Kyoto University, co-advised by Prof. Hiroaki Ogata and Prof. Chia-Yu Hsu.
- 2026.06.01
College of Science Travel Grant and Scholarship (NT$15,000)
College of Science, National Taiwan University
Supported the Kyoto University residency.
- 2025.12.01
Cathay Charity Foundation 2025 Excellence Scholarship (NT$160,000)
Cathay Charity Foundation
Supported the companion robot for older adults.
Skills
| Programming & Tools | |
| Python | |
| Swift | |
| Java | |
| MATLAB | |
| LaTeX | |
| FastAPI | |
| React | |
| TypeScript |
| Research Methods | |
| Construct Validity | |
| Experimental Design | |
| Representation Probing | |
| User Research | |
| Multimodal Data Analysis |
Languages
| Mandarin | |
| Native |
| English | |
| Fluent |
| Japanese | |
| JLPT N3 |
Interests
| Long-distance running | |||
| Half marathon | |||
| Road running | |||
| Cycling |