Hi, I am Yujie.


I am a master's student at University of Chicago, working on human-computer interaction, wearables and haptics. My interests lie in creating novel interactive devices and understanding how they can improve people's wellbeing. I am a member of Human Computer Integration Lab, advised by Prof. Pedro Lopes. During the summer, I work with Prof. Tanzeem Choudhury's group at Cornell Tech.

I received my bachelor's degree from UNC-Chapel Hill with a double major in Computer Science and Journalism. Before jumping into HCI research, I had experience in product management and marketing, where I explored areas such as social networks, cybersecurity, and health advertising.

my resume

Research

Altering Perceived Softness of Real Rigid Objects by Restricting Fingerpad Deformation

Yujie Tao, Shan-Yuan Teng, Pedro Lopes

In Proceedings of UIST 2021

Best Paper Award & Best Demo Award

We proposed a wearable haptic device that alters perceived softness of everyday objects without instrumenting the object itself while leaves most of the fingerpad free. I conceptualized and engineered the device. I also conducted the user study to validate the softness illusion and its usage in interactive applications, such as making the same VR prop to display different softness states.

paper
video
talk
DextrEMS: Increasing Dexterity in Electrical Muscle Stimulation by Combining it with Brakes

Romain Nith, Shan-Yuan Teng, Pengyu Li, Yujie Tao, Pedro Lopes

In Proceedings of UIST 2021

People's Choice Demo Award

DextrEMS increased the dexterity of electrical muscle stimulation, by combining EMS with a lightweight mechanical brake attached to each finger joint. I designed and implemented four applications for this device, which includes a mobile app for assisted fingerspelling, a piano tutorial, a VR whack-a-mole game and a VR climbing experience.

paper
video
Improved Vergence and Accommodation via Purkinje Image Tracking with Multiple Cameras for AR Glasses

Conny Lu, Praneeth Chakravarthula, Yujie Tao, Steven Chen, Henry Fuchs

In Proceedings of ISMAR 2020

We leveraged higher-level Purkinje images to improve eye tracking accuracy for both vergence and accommodation. In this work, I designed and fabricated a user-customized eyetracker prototype suited for eyeglasses-style AR and VR displays. I also collected and analyzed Purkinje image data with OpenCV.

paper

Selected Projects

AttentivU

EEG wearable for cognitive enhancement

iBallot

Inform young voters about local elections