Skip to content

Author

Jingyi Xie

5 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Sep 2026

Using Generative Artificial Intelligence in Mindfulness Technology Within an Everyday Digital Context

Chronic stress contributes to adverse physical and mental health outcomes. Regular mindfulness practice has been shown to reduce stress and improve well-being. Although digital mindfulness tools are widespread, most applications rely on pre-recorded guided content and offer limited support for monitoring users’ inter...

Frances Anne Belleza, Jing-Yi Xie · 0 citations
Sep 2026

Learning Through Interaction: Designing Adaptive AI to Enhance AI and Information Literacy

As Large Language Models (LLMs) increasingly mediate how users access, interpret, and generate information, interaction with these systems requires users to reason about both the information produced and the AI system itself. It remains underexplored how direct interaction with LLMs, rather than explicit instruction, s...

Iecarus Vizcaino Mendez, Hayden Shaffer, Aahil Shaikh et al. · 0 citations
Review Sep 2026

Balancing Information Richness and Cognitive Load: A Scoping Review of Multimodal AI Systems for Older Adults in Home Environments

This scoping review maps current research on multimodal AI systems for older adults in home environments and proposes the Context-Adaptive Information Layering framework, which organizes information into Essential, Contextual, and Exploratory layers that adapt based on learned user patterns, task criticality, and cogni...

Samantha Tran, Zi-Yao Zhou, Jing-Yi Xie · 0 citations
#generative ai Sep 2026

Adaptive Multimodal AI Tutoring: Using Real-Time Cues to Personalize Feedback and Support Engagement in Learning

This work presents an adaptive multimodal AI-driven tutoring system that infers learners’ states by interpreting real-time visual, auditory, and behavioral cues and illustrates the feasibility of integrating multimodal cues to enable adaptive instructional feedback and engagement-aware intervention in online learning c...

Jaewon Jung, Aahil Shaikh, J. Shaughnessy et al. · 0 citations

Communicating AI Uncertainty in Assistive Navigation for People with Visual Impairments

Visual impairments affect upwards of 2.2 billion people worldwide. As AI systems increasingly support navigation for people with visual impairments, how uncertainty is communicated becomes critical. Prior work shows that communicating uncertainty can improve trust calibration and decision-making, yet it remains underex...

Hayden Shaffer, Aahil Shaikh, He Zhang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.