Professional Summary

PhD student in Human Factors Engineering with a strong foundation in quantitative research and experimental design. I established a new evaluation framework to assess user performance and experience with AR displays. My hands-on experience in Unity XR application prototyping allows me to bridge the gap between scientific inquiry and practical application. I am passionate about applying my research rigor and analytical skills to innovate and solve challenging problems in the technology space.

Research Topic & Focus

• [Topics] AR Interface Design, MR Usability, Intelligent AR, Human-Computer Interaction

• [Focus] Combining AI and ergonomics to enhance the usability of AR and VR user interfaces.

Education

Industry Experiences

UX and Industrial Design Intern
- PranaQ Inc. | Jun 2025 - Jul 2025 | Taipei, Taiwan

• Led a product development project by designing a new wearable device’s attachment method, from initial concept to prototype testing; designed packaging and prototyping methods to accelerate development cycles.

• Designed 2 low‑fidelity prototypes using simple materials to quickly test design concepts and gather feedback from a 5‑person RD team.

• Engineered a quality control jig for the old product’s finger straps, ensured 100% compliance with specifications.

Part‑Time Engineer
- PetaRay Inc. | Oct 2021 - Apr 2022 | Taipei, Taiwan

• Conducted quality assessment, user performance evaluation, and user experience research for the first light field display model.

• Developed 3D models and animations into light field using Unity3D for light field glasses demonstrations at company fundraising events and exhibitions (e.g., CES & COMPUTEX).

Founder & Designer
- DaibaoRabbit Studio | Jun 2016 - Present | Taiwan

• Published a 64‑page illustrated comic, 50+ copies sold.

• Designed and produced a range of illustrated merchandise, built an online following of 1,500+ with consistent engagement.

• Licensed artwork to a biotech firm for branded face masks, earning a licensing fee of around $125 USD (TWD 4,000) for a single set of designs.

Research Experiences

Graduate Researcher @ Virginia Tech | Aug 2024 - Present
Advisor: Prof. Joe Gabbard

• Lead human-computer interaction (HCI) research on optimizing the placement of information (e.g., windows) and the size of interactable objects (e.g., buttons) in AR and VR user interfaces through feeding the ergonomic data into machine learning models.

• Co‑led an HCI project on balance and cognitive load during AR use on ladders; developed interactive AR systems using Unity Mixed Reality Tool Kit (MRTK), Visual Studio, Python, and Hololens 2.

Graduate Researcher @ NTU | Feb 2021 - Jun 2023
Advisor: Prof. Homer H. Chen

• Developed robust experimental protocols for light field AR display evaluation using psychophysical methods; conducted factor analysis to quantify user performance and subjective experience

• Pioneered academic research on light field display evaluation by applying classical psycho‑physical experimental methods to ensure accurate data analysis and interpretation.

Undergraduate Researcher @ NYCU | Jul 2018 - Aug 2019
Advisor: Prof. Wen‑Whei Chang

• Analyzed Jay Chou’s musical patterns from 20 songs to design an automated process that generates new chords based on his signature style.

Publications

1. Comparison of User Performance and Experience between Light Field AR Glasses and Conventional AR Glasses
   Wei‑An Teng*, Su‑Ling Yeh, Homer H. Chen, in IEEE Transactions on Visualization and Computer Graphics, vol. 31, no. 12, pp. 10869-10880, Dec. 2025, doi: 10.1109/TVCG.2025.3617940.

2. Comparison of Light Field and Conventional Near‑Eye AR Displays in Virtual‑Real Integration Efficiency
   Wei‑An Teng*, Su‑Ling Yeh, Homer H. Chen, International Journal of Multimedia Data Engineering and Management (IJMDEM), 2022

3.  Comparison of Virtual‑Real Integration Efficiency between Light Field and Conventional Near‑Eye AR Displays
   Wei‑An Teng*, Su‑Ling Yeh, Homer H. Chen, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022

Awards & Invited Talk