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20242026
most citedEmerging Practices for Large Multimodal Model (LMM) Assistance for People with Visual Impairments: Implications for Design

3 citations · 6 across the 6 of their papers we have counts for

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cs.HC2026

A Human-Centred AI System for Multi-Actor Planning and Collaboration in Family Learning

Si Chen, Jingyi Xie, Yao Li +8

Family learning takes place in everyday routines where children and caregivers read, practice, and develop new skills together. Despite growing interest in AI tutors, most existing…

cs.HC2025★ 1 cited

Building AI Literacy at Home: How Families Navigate Children's Self-Directed Learning with AI

Jingyi Xie, Chuhao Wu, Ge Wang +4

As generative AI becomes embedded in children's learning spaces, families face new challenges in guiding its use. Middle childhood (ages 7-13) is a critical stage where children se…

cs.HC2025

"Learning Together": AI-Mediated Support for Parental Involvement in Everyday Learning

Yao Li, Jingyi Xie, Ya-Fang Lin +5

Family learning takes place in everyday routines where children and caregivers read, practice, and develop new skills together. Although AI is increasingly present in learning envi…

cs.HC2025

Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models

Jingyi Xie, Rui Yu, He Zhang +3

Large multimodal models (LMMs) have enabled new AI-powered applications that help people with visual impairments (PVI) receive natural language descriptions of their surroundings t…

cs.HC2024★ 2 cited

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 +4

Assistive technologies for people with visual impairments (PVI) have made significant advancements, particularly with the integration of artificial intelligence (AI) and real-time…

cs.HC2024★ 3 cited

Emerging Practices for Large Multimodal Model (LMM) Assistance for People with Visual Impairments: Implications for Design

Jingyi Xie, Rui Yu, He Zhang +3

People with visual impairments perceive their environment non-visually and often use AI-powered assistive tools to obtain textual descriptions of visual information. Recent large v…