LandSAR integrates real-time landslide simulations, visualizations, and 3D-printed tangible terrain models to improve situational awareness and engagement for analysts.
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4 Pith papers cite this work. Polarity classification is still indexing.
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An experiment found LLM counterarguments improved group flexibility and satisfaction while AI mediation boosted minority participation but lowered psychological safety.
Large observational analysis of Reddit finds bot moderators increase compliance and reduce self-censorship relative to humans or teams, while linguistic strategy effectiveness depends on violation severity.
RECOVER is an LLM-powered RPM system for postoperative GI cancer care, built from 7 participatory design sessions and 5 patient interviews, then piloted with 4 staff and 5 patients to derive design strategies and responsible AI insights.
citing papers explorer
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LandSAR: Visceralizing Landslide Data for Enhanced Situational Awareness in Immersive Analytics
LandSAR integrates real-time landslide simulations, visualizations, and 3D-printed tangible terrain models to improve situational awareness and engagement for analysts.
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Investigating LLM-Powered Dissenting Minority Support in Power-Imbalanced Group Decision-Making: Counterargument and Mediation as Intervention Strategies
An experiment found LLM counterarguments improved group flexibility and satisfaction while AI mediation boosted minority participation but lowered psychological safety.
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Who, Why, and How: Disentangling the Effects of Moderation Source, Context, and Language on Post-Removal Behavior
Large observational analysis of Reddit finds bot moderators increase compliance and reduce self-censorship relative to humans or teams, while linguistic strategy effectiveness depends on violation severity.
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RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care
RECOVER is an LLM-powered RPM system for postoperative GI cancer care, built from 7 participatory design sessions and 5 patient interviews, then piloted with 4 staff and 5 patients to derive design strategies and responsible AI insights.