17 citations · 29 across the 9 of their papers we have counts for
13 papers
Open Benchmark of AI Impact on Humans (ImpactBench): an expert-guided, open platform for the holistic evaluation of AI impact on humans
Chayapatr Archiwaranguprok, Krystal Kirkland, Rachel Poonsiriwong +17
The present work is concerned with how to measure, at scale, the multi-dimensional impact of generative AI models on the individuals who use them. In service of this goal, we intro…
Before You Say It: Anticipating Verbal Behavior from Longitudinal Everyday Conversations with LLMs
Yasith Samaradivakara, Valdemar Danry, Paul Liang +1
Knowing someone deeply means not just understanding what they say or do but also how they will likely think, react, and engage across situations. Such predictions could eventually…
From Gaze to Guidance: Interpreting and Adapting to Users' Cognitive Needs with Multimodal Gaze-Aware AI Assistants
Valdemar Danry, Javier Hernandez, Andrew Wilson +2
Current LLM assistants are powerful at answering questions, but they have limited access to the behavioral context that reveals when and where a user is struggling. We present a ga…
Critical Inker: Scaffolding Critical Thinking in AI-Assisted Writing Through Socratic Questioning
Philipp Hugenroth, Valdemar Danry, Pattie Maes
As Large Language Models (LLMs) increasingly automate writing tasks, there is a growing risk of cognitive deskilling where users offload critical thinking to the system. To address…
Feeling the Facts: Real-time Wearable Fact-checkers Can Use Nudges to Reduce User Belief in False Information
Chitralekha Gupta, Nadia Victoria Aritonang, Dixon Prem Daniel Rajendran +3
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 hearin…
The Hidden Puppet Master: Predicting Human Belief Change in Manipulative LLM Dialogues
Jocelyn Shen, Amina Luvsanchultem, Jessica Kim +6
As users increasingly turn to LLMs for practical and personal advice, they become vulnerable to subtle steering toward hidden incentives misaligned with their own interests. While…
Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills
Anku Rani, Valdemar Danry, Paul Pu Liang +2
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 misinfor…
Can dialogues with AI systems help humans better discern visual misinformation?
Anku Rani, Valdemar Danry, Andy Lippman +1
The widespread emergence of manipulated news media content poses significant challenges to online information integrity. This study investigates whether dialogues with AI about AI-…
Investigating Affective Use and Emotional Well-being on ChatGPT
Jason Phang, Michael Lampe, Lama Ahmad +8
As AI chatbots see increased adoption and integration into everyday life, questions have been raised about the potential impact of human-like or anthropomorphic AI on users. In thi…
How AI and Human Behaviors Shape Psychosocial Effects of Extended Chatbot Use: A Longitudinal Randomized Controlled Study
Cathy Mengying Fang, Auren R. Liu, Valdemar Danry +8
As people increasingly seek emotional support and companionship from AI chatbots, understanding how such interactions impact mental well-being becomes critical. We conducted a four…
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation
Valdemar Danry, Pat Pataranutaporn, Matthew Groh +2
Advanced Artificial Intelligence (AI) systems, specifically large language models (LLMs), have the capability to generate not just misinformation, but also deceptive explanations t…
PhysioLLM: Supporting Personalized Health Insights with Wearables and Large Language Models
Cathy Mengying Fang, Valdemar Danry, Nathan Whitmore +4
We present PhysioLLM, an interactive system that leverages large language models (LLMs) to provide personalized health understanding and exploration by integrating physiological da…
Deceptive AI Systems That Give Explanations Are Just as Convincing as Honest AI Systems in Human-Machine Decision Making
Valdemar Danry, Pat Pataranutaporn, Ziv Epstein +2
The ability to discern between true and false information is essential to making sound decisions. However, with the recent increase in AI-based disinformation campaigns, it has bec…