Valdemar Danry

schoolMassachusetts Institute of Technologybar_chart#1757 Global Rank

Total Papers

HCI Rank

#1757

Research Areas

Years Active

Recent Publications

Mind Mapper: Modeling and Predicting Behavioral Patterns from Everyday Conversations with Wearable AI Systems and LLMs

Everyday conversations are more than exchanges of words—they reveal how people think, react, and adapt across situations. Through our speech we reveal the cognitive patterns that shape our behavior over time. Yet much of these patterns remains implicit: people operate through recurring heuristics and habits—some helpf…

CHI '264th AuthorVibrotactile Feedback & Skin Stimulation +2

Feeling the Facts: Real-time wearable fact-checkers can use nudges to reduce user belief in false information

Misinformation can spread rapidly in everyday conversation, where pausing to verify is not always possible. We envision a wearable system that bridges the timing gap between hearing a claim and forming a judgment. It uses ambient listening to detect verifiable claims, performs rapid web verification, and provides a su…

CHI '262nd AuthorHonorable MentionMisinformation & Fact-Checking +1

Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills

Given the growing prevalence of fake information, including increasingly realistic AI-generated news, there is an urgent need to train people to better evaluate and detect misinformation. While interactions with AI have been shown to durably reduce people's beliefs in false information, it is unclear whether these int…

CHI '251st AuthorHonorable MentionAI Ethics, Fairness & Accountability +1

Deceptive Explanations by Large Language Models Lead People to Change their Beliefs About Misinformation More Often than Honest Explanations

Advanced Artificial Intelligence (AI) systems, specifically large language models (LLMs), have the capability to generate not just misinformation, but also deceptive explanations that can justify and propagate false information and discredit true information. We examined the impact of deceptive AI generated explanatio…

CHI '243rd AuthorGenerative AI (Text, Image, Music, Video) +2

Putting Things into Context: Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning Motivation

Fostering students' interests in learning is considered to have many positive downstream effects. Large language models have opened up new horizons for generating content tuned to one's interests, yet it is unclear in what ways and to what extent this customization could have positive effects on learning. To explore t…

CHI '231st AuthorExplainable AI (XAI) +1

Don’t Just Tell Me, Ask Me: AI Systems that Intelligently Frame Explanations as Questions Improve Human Logical Discernment Accuracy over Causal AI explanations

Critical thinking is an essential human skill. Despite the importance of critical thinking, research reveals that our reasoning ability suffers from personal biases and cognitive resource limitations, leading to potentially dangerous outcomes. This paper presents the novel idea of AI-framed Questioning that turns info…

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