Introduces the Attention-Aware Pipeline (Capture-Record-Revisualize) to surface design tensions in XR attention feedback systems, illustrated via three prototypes and a musician eye-tracking study.
Ge, Yiren Ding, Lane Harrison, Fumeng Yang, and Matthew Kay
3 Pith papers cite this work. Polarity classification is still indexing.
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YAC is a prototype system that uses a tool-calling multi-agent architecture to translate natural language into linked interactive visualizations and filters for biomedical data, with user-adjustable structured output and a domain-expert user study.
Within-subjects study with 60 students found superior information retrieval and insight comprehension with GenAI-assisted data comics over conventional visualizations, independent of prior literacy, alongside engagement benefits and ethical concerns.
citing papers explorer
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The Attention-Aware Pipeline: Design Tensions from Making Attention Visible in XR
Introduces the Attention-Aware Pipeline (Capture-Record-Revisualize) to surface design tensions in XR attention feedback systems, illustrated via three prototypes and a musician eye-tracking study.
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YAC: Bridging Natural Language and Interactive Visual Exploration with Generative AI for Biomedical Data Discovery
YAC is a prototype system that uses a tool-calling multi-agent architecture to translate natural language into linked interactive visualizations and filters for biomedical data, with user-adjustable structured output and a domain-expert user study.
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Data Comics for Education: Evaluating Effectiveness, Benefits, and the Ethics of AI-Assisted Creation
Within-subjects study with 60 students found superior information retrieval and insight comprehension with GenAI-assisted data comics over conventional visualizations, independent of prior literacy, alongside engagement benefits and ethical concerns.