GUI agents can transform live web interfaces in real-time via DOM manipulations to deliver contextual assistance directly within the application.
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5 Pith papers cite this work. Polarity classification is still indexing.
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2026 5roles
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LLM chat systems show large differences in reference quantity and quality, but users rarely click or engage with them.
Creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative freedom, even when guidance aids AI literacy.
ToxiShield delivers a real-time GitHub extension with a BERT toxicity detector at 98% accuracy, a Claude-based coach, and a fine-tuned Llama reframer at 95% style transfer accuracy, validated by a 10-person TAM study.
A systematic review of user experiments finds that dark patterns reliably alter behavior with large variance in effect sizes, most interventions fail to mitigate them, and effects are similar across tested demographic groups.
citing papers explorer
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Beyond Chat and Clicks: GUI Agents for In-Situ Assistance via Live Interface Transformation
GUI agents can transform live web interfaces in real-time via DOM manipulations to deliver contextual assistance directly within the application.
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Analyzing the Presentation, Content, and Utilization of References in LLM-powered Conversational AI Systems
LLM chat systems show large differences in reference quantity and quality, but users rarely click or engage with them.
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How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative Autonomy
Creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative freedom, even when guidance aids AI literacy.
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ToxiShield: Promoting Inclusive Developer Communication through Real-Time Toxicity Filtering
ToxiShield delivers a real-time GitHub extension with a BERT toxicity detector at 98% accuracy, a Claude-based coach, and a fine-tuned Llama reframer at 95% style transfer accuracy, validated by a 10-person TAM study.
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A Systematic Review of User Experiments Measuring the Effects of Dark Patterns
A systematic review of user experiments finds that dark patterns reliably alter behavior with large variance in effect sizes, most interventions fail to mitigate them, and effects are similar across tested demographic groups.