Louisa May Shi

Louisa May Shi



Bachelor of Engineering in Computer Science, Tsinghua University (THU) | Aug 2018 - Jul 2022
GIX Dual Degree (Master of Engineering & Technology Innovation), THU & University of Washington | Sep 2022 - Dec 2024

contacts: louisa.shi@gmail.com (510) 327-9259

RESEARCH EXPERIENCE

Task-focused, Multimodal, Mixed-initiative Virtual Assistant Apps

July 2021 – Present

Advisor: James A. Landay, Professor, Dept. Computer Science, Stanford University
• Proposed a new design of an assistant that supports flexible goal manipulation and step-wise adjustment
• Conducted a pilot survey study with 15 people, and asked users questions regarding the common adaptations they do while following a recipe.
• Working on implementing the system into a Unity 3D environment using VR headsets.

Crossover: Facilitating One-Handed Operations on Smartphones through Front-Side Hybrid Interaction

April 2021 – Sep 2021

Advisor: Yuanchun Shi, Professor, Dept. Computer Science & Technology, THU
• Proposed Crossover, a technique that enabled efficient one-handed text editing on smartphones through front-side hybrid interaction. 
• Modelled user’s interaction behavior when performing precise pointing tasks and menu selection tasks in front-side hybrid interaction and evaluated the learning and performance of Crossover, providing possible design implications for smartphone interaction designers. 
• Followed an iterative design process, first determining the side interaction strategy through user study, and chose a two-dimensional strategy due to high performance and user preference. 
• Examined the user’s interaction behavior and improved Crossover by using front-side hybrid, confirmed that the hybrid method has high performance

Squeez’In: Private Authentication on Capacitive Sensing Smartphones

April 2021 – Sep 2021

Advisor: Yuanchun Shi, Professor, Dept. Computer Science & Technology, THU
• Verified that inferring touch pressure from capacitive touchscreen data is achievable, which allows us to use capacitive data to distinguish the intensity users squeeze the phone.
• Conducted two user studies to examine user's subjective preference and motion control ability for designing squeezing patterns. Evaluated Squeez'In with traditional authentication methods, and proved that it has competitive speed and accuracy compared with pin code and gesture, with significantly higher preference score in terms of privacy, security and generalizability.

Indoor and Outdoor Navigation System Using HMD

Nov 2020 – Dec 2020

Advisor: Yuanchun Shi, Professor, Dept. Computer Science & Technology, THU
• Built a platform in unity 3D with indoor and outdoor scenes.
• Realized AR visualization of the current path with an arrow to point the direction and highlighting the road panels, displayed the absolute bearing of the destination using a mini-map, a light beam, and an arrow.
• Connected the platform to Oculus quest 2 and found 12 participants. Tested out different combinations of n	avigation methods and estimated the efficiency of different methods.

Intelligent Access Control System Based on Face Recognition

Sep 2020 - Dec 2020

Advisor: Dan Pei, Associate Professor, Dept. Computer Science & Technology, THU
• Built an access control system which is able to use a phone application to take and upload a photo to the database, then users can use a camera attached to the embedded server and see if the face matches data from the database. Also includes a web server to manage all user information.

Aesthetic Modeling Based on Deep Learning

July 2017 – Feb 2018

Advisor: Jia Jia, Associate Professor, Dept. Computer Science & Technology, THU

• Discussed how different parameters and structures in Deep Learning could affect the outcome of the modeling between aesthetic styles and clothing features. By comparison chose the best parameters of the model and analyzed different styles of different categories’ clothing in shopping websites.

PUBLICATIONS

Crossover: Facilitating One-Handed Operations on Smartphones through Front-Side Hybrid Interaction. Xin Yi, Louisa Shi, Fengyan Han, Shuning Zhang, Yukang Yan, Ziqi Pan, Hewu Li, Yuanchun Shi.
Submitted to ACM CHI Conference on Human Factors in Computing Systems (CHI 2022) Under Review.

Squeez’In: Private Authentication on Capacitive Sensing Smartphones. Xin Yi, Ziqi Pan, Shuning Zhang, Fengyan Han, Louisa Shi, Hewu Li, Yuanchun Shi. Submitted to ACM CHI Conference on Human Factors in Computing Systems (CHI 2022) Under Review.

SCHOLARSHIPS & HONORS

Chinese Government Scholarship 2020, 2021

Beijing Government Scholarship 2018

LEADERSHIP AND ACTIVITIES

Tsinghua Red Cross | Volunteer group member

Feb 2019 - Present • Help recruit volunteers for each blood drive, in charge of onsite volunteers. • Donated blood five times.

Women basketball team of Computer science and technology | Captain

Aug 2019 - July 2020 • Recruit members, organize training sessions, purchase supplies.

Books2China | Co-chair

Jun 2017 – Jun 2018 • Raised funds to purchase books and support libraries to the children of migrant workers in China. • Hosted Summer camps for the kids from 2015 to 2019.