Search this site
Embedded Files
Jingyi Xie
  • About
  • CV
  • Research Projects
Jingyi Xie
  • About
  • CV
  • Research Projects
  • More
    • About
    • CV
    • Research Projects

Assistant Professor

Department of Industrial and Systems Engineering

Charles W. Davidson College of Engineering

San José State University


Email: jingyi.xie@sjsu.edu 

Google Scholar 

Jingyi Xie

Jingyi Xie is an Assistant Professor in the Department of Industrial and Systems Engineering at San José State University. She holds a Ph.D. in Informatics from Penn State University, advised by Prof. John M. Carroll, and a Master's degree in Industrial Engineering and Operations Research from the same institution, advised by Prof. Qiushi Chen. 

Jingyi's research focuses on the intersection of Accessibility and Human-Centered AI. She designs, develops, and evaluates interactive systems that empower blind or low-vision people to access and engage with visual information. Through a user-centered design approach, she investigates how AI can enhance and transform collaborations between visually impaired users and their sighted assistants in areas such as navigation, art creation and appreciation, and privacy. Her work has been published at top venues, including CHI, CSCW, HFES, TOCHI, IUI, and DIS. 

Beyond research, Jingyi actively contributes to the visually impaired community through volunteer work with the National Federation of the Blind and by reading textbooks for visually impaired students, having completed a 388-page textbook to date. 

News

Jan 16, 2025

Two papers accepted to CHI 2025! 

[1] Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models[2] From Scores to Careers: Understanding AI's Role in Supporting Collaborative Family Decision-Making in Chinese College Applications

Publications

Beyond Visual Perception: 

Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models

Jingyi Xie, Rui Yu, He Zhang, Syed Masum Billah, Sooyeon Lee, John M. Carroll

CHI 2025

pdf · ACM DL · presentation

From Scores to Careers: 

Understanding AI's Role in Supporting Collaborative Family Decision-Making in Chinese College Applications

Si Chen*, Jingyi Xie*, Ge Wang, Haizhou Wang, Haocong Cheng, Yun Huang

CHI 2025

pdf · ACM DL · presentation

Psychological Barriers and Facilitators in the Sharing Economy: Exploring Recognition, Visibility, Social Costs, Community Belonging, and Efficacies

Jeongwon Jo, Jingyi Xie, John M Carroll

CSCW 2025

pdf · ACM DL 

Enhancing the Travel Experience for People with Visual Impairments through Multimodal Interaction: NaviGPT, A Real-Time AI-Driven Mobile Navigation System 

He Zhang, Nicholas J Falletta, Jingyi Xie, Rui Yu, Sooyeon Lee, Syed Masum Billah, John M Carroll 

Computers in Human Behavior: Artificial Humans 

pdf · ACM DL

Harnessing the power of AI in qualitative research: 

Exploring, using and redesigning ChatGPT

He Zhang, Chuhao Wu, Jingyi Xie, Yao Lyu, Jie Cai, John M Carroll

Computers in Human Behavior: Artificial Humans 

pdf · DL

Illustration of Privacy-Preserving Remote Sighted Assistance with BubbleCam

BubbleCam: Engaging Privacy in Remote Sighted Assistance

Jingyi Xie*, Rui Yu*, He Zhang, Sooyeon Lee, Syed Masum Billah, John M. Carroll

CHI 2024

pdf · ACM DL · presentation · 30s preview video

Illustration of proposed app interfaces for neighborly mutual aid group

Understanding and Balancing Trade-offs of Visibility in Support Requests

Jeongwon Jo, Jingyi Xie, John M. Carroll

CHI 2024 Extended Abstract

pdf · ACM DL 

Photo of Community Fridges

Infrastructuring Community Fridges for Food Commoning

Jeongwon Jo, Jingyi Xie, Priyanka Aiyer, Tiffany Knearem, John M Carroll

CSCW 2024

pdf · ACM DL

Photo of community members painting a mural

Citizen Art: A Creative Mural Project for Community Building

Na Li, Jingyi Xie, Huy Anh Nguyen, Jie Cai, John M. Carroll

The Journal of Community Informatics 

pdf 

Logo of SIGITE 2024

The future of learning: Large language models through the lens of students

He Zhang, Jingyi Xie, Chuhao Wu, Jie Cai, Chanmin Kim, John M. Carroll

SIGITE 2024

pdf · ACM DL 

Low-fidelity prototype illustrating proposed assistant dashboard with 3D mapping for indoor navigation

Human-AI Collaboration for Remote Sighted Assistance: Perspectives from the LLM Era 

Rui Yu, Sooyeon Lee, Jingyi Xie, Syed Masum Billah, John M Carroll

Future Internet 2024

pdf · MDPI

Illustration of proposed paired-volunteer remote sighted assistance, involving two sighted volunteers working together to provide collaborative support to one user

Are Two Heads Better than One? Investigating Remote Sighted Assistance with Paired Volunteers

Jingyi Xie, Rui Yu, Kaiming Cui, Sooyeon Lee, John M. Carroll, Syed Masum Billah 

DIS 2023

pdf · ACM DL · 30s preview video

Logo of GoodIT 2023

Food with Dignity: Public Values in the Supplemental Nutrition Assistance Program Mobile Applications

Jeongwon Jo, Jingyi Xie, John M. Carroll

GoodIT 2023

pdf · ACM DL 

Low-fidelity prototype illustrating proposed assistant dashboard with integrated distance estimation and 3D mapping

Iterative Design and Prototyping of Computer Vision Mediated Remote Sighted Assistance

Jingyi Xie, Madison Reddie, Sooyeon Lee, Syed Billah, Zihan Zhou, Chun-hua Tsai, John M. Carroll

TOCHI 2022

pdf · ACM DL · presentation 

Overview of a proposed prototype with AR maps for indoor navigation

Helping helpers: Supporting volunteers in remote sighted assistance with augmented reality maps

Jingyi Xie*, Rui Yu*, Sooyeon Lee, Yao Lyu, Syed Masum Billah, John M. Carroll

DIS 2022

pdf · ACM DL · presentation · 30s preview video

Summary of findings from the paper "Opportunities for Human-AI collaboration in remote sighted assistance", including challenging outdoor and indoor scenarios for users.

Opportunities for Human-AI Collaboration in Remote Sighted Assistance

Sooyeon Lee*, Rui Yu*, Jingyi Xie, Syed Masum Billah, John M. Carroll

IUI 2022

pdf · ACM DL 

Twitter-like interface illustrating a proposed topic-aware misinformation warning system

A user study on the feasibility of topic-aware misinformation warning on social media

Jingyi Xie*, Michiharu Yamashita*, Zekun Cai*, Aiping Xiong

Proceedings of the Human Factors and Ergonomics Society Annual Meeting (HFES 2022)

pdf · SAGE Journals · presentation

Logo of GoodIT 2022

YouTube Videos as Data: Seeing Daily Challenges for People with Visual Impairments During COVID-19

Jingyi Xie, Na Li, Sooyeon Lee, John M. Carroll

GoodIT 2022

pdf · ACM DL · presentation

Logo of SMDM 2019

Using Metamodeling to Approximate Cost-Effectiveness Acceptability Curves of Cost-Effectiveness Analysis

Jingyi Xie, Qiushi Chen

41st Annual Meeting of the Society for Medical Decision Making 

(SMDM 2019) 

Abstract 

Updated July 2025
jingyi.xie@sjsu.edu
LinkedInLink
Google Sites
Report abuse
Page details
Page updated
Google Sites
Report abuse