6 papers · 1 filter
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…
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…
"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…
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…
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…
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…