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Hi! I am Muzhe (沐哲, pronounced /mù tʂɤ́/), currently a visiting research student at the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University (CMU) advised by David Lindlbauer.

My research interest lies at the intersection of Human-Computer Interaction, eXtended Reality, and Learning Sciences. I investigate human cognitive processes (e.g., learning, attention, agency) in relation to input-output channels (e.g., vision, hearing, motor systems) and develop interfaces / interaction techniques / experiences to augment them.

I recently graduated from Master’s in Educational Technology and Applied Learning Science at CMU HCII. I did my Bachelor’s in Computer Science at the University of Michigan (UMich) and Electrical and Computer Engineering from Shanghai Jiao Tong University. I was fortunate to kick off my research journey at UMich with Anhong Guo and Xu Wang building AR-based intelligent tutoring systems, and during my Master’s at CMU HCII, also collaborated with Hong Shen on socio-technical responsible AI.

Outside of work, I enjoy sports ⛸️ 🏀, music 🎤 🎹, and travel 🏞️.

news

  • Now

    I'm applying to PhD programs this cycle (Fall 2025) and would love to chat if there are any opportunities!

  • Oct 25, 2024

    Had a fruitful two weeks attending UIST and ISMAR and presenting our work New Ears.

  • Jul 30, 2024

    Finished my master's program at CMU HCII.

research

Performance as Agency? Investigating the Trade-off between Sense of Agency and Performance in Target Selection with Preemptive Assistance in VR
In Submission (IEEE TVCG)
Performance as Agency? Investigating the Trade-off between Sense of Agency and Performance in Target Selection with Preemptive Assistance in VR
Muzhe Wu, Byungjoo Lee, David Lindlbauer
"Collaborative Early-stage Risk Identification in AI Product Design"
In Submission
"Collaborative Early-stage Risk Identification in AI Product Design"
Muzhe Wu*, Yanzhi Zhao*, Shuyi Han, Michael Xieyang Liu, Hong Shen
Website
"AR-enabled Intelligent Tutoring for Rubik’s Cube Learning"
In Submission | Michigan AI Symposium 2022 (Best Demo Award)
"AR-enabled Intelligent Tutoring for Rubik’s Cube Learning"
Muzhe Wu*, Haocheng Ren*, Gregory Croisdale, Anhong Guo, Xu Wang
New Ears: An Exploratory Study of Audio Interaction Techniques for Performing Search in a Virtual Reality Environment
IEEE ISMAR 2024
New Ears: An Exploratory Study of Audio Interaction Techniques for Performing Search in a Virtual Reality Environment
Muzhe Wu*, Yi-Fei Cheng*, David Lindlbauer
PDF DOI Video Talk
ActiveAI: The Effectiveness of an Interactive Tutoring System in Developing K-12 AI Literacy
ECTEL 2024
ActiveAI: The Effectiveness of an Interactive Tutoring System in Developing K-12 AI Literacy
Ying-Jui Tseng, Gautam Yadav, Xinying Hou, Muzhe Wu, Yun-Shuo Chou, Claire Che Chen, Chia-Chia Wu, Shi-Gang Chen, Yi-Jo Lin, Guanze Liao, and Kenneth R. Koedinger
PDF DOI

projects

Mini-World: Sense of Co-presence in Web Browsing

Mini-World: Sense of Co-presence in Web Browsing (2024)

LLM-enhanced Casual Learning Experience on Wikipedia

LLM-enhanced Casual Learning Experience on Wikipedia (2024)

Personified Goal Tracking Experience with Decreasing Obtrusiveness

Personified Goal Tracking Experience with Decreasing Obtrusiveness (2024)

How Do You See The World: Visual Impairment Education in VR

How Do You See The World: Visual Impairment Education in VR (2023)

Auxiliary Variables Improve Group Accuracy without Group Information

Auxiliary Variables Improve Group Accuracy without Group Information (2023)

Why Antiwork: Work-Related Stress Identification and Leading Factor Analysis

Why Antiwork: Work-Related Stress Identification and Leading Factor Analysis (2023)

Feature Alignment Discriminator for Text Summarization

Feature Alignment Discriminator for Text Summarization (2022)

Mask Redistribution Simulator

Mask Redistribution Simulator (2020)

Other Stuff I Made

Other Stuff I Made (2001 - Now)