17 citations · 29 across the 9 of their papers we have counts for
6 papers · 1 filter
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…