42 citations · 114 across the 17 of their papers we have counts for
8 papers · 1 filter
EEG and Eye-Tracking Evidence That AI Disclosure Shapes Face Evaluation
Teodora Mitrevska, Luise Donat, Andreas Butz +3
AI-generated faces can be difficult to distinguish from real ones, leaving viewers to rely on source labels when judging an image. Yet prior work has made it difficult to separate…
From Search Agents to Dissemination Interfaces: Understanding Human Trust in Health Information from Conversational Search
Xin Sun, Rongjun Ma, Xiaochang Zhao +5
Large Language Models (LLMs) deployed through Conversational User Interfaces (CUIs) are transforming health information-seeking by offering immediate, interactive experiences compa…
When Trust Meets Truth: Trust-Truth Separability in LLM-as-Judge
Xin Sun, Di Wu, Yuchen Guo +4
LLM-as-Judge systems can produce multi-dimensional evaluations, such as trustworthiness, reliability, and factuality, and these outputs are often interpreted as independent evidenc…
Towards Gaze-Informed AI Disclosure Interfaces: Eye-Tracking Attentional and Cognitive Load While Reading AI-Assisted News
Pooja Prajod, Hannes Cools, Thomas Röggla +2
As generative AI becomes increasingly integrated into journalism, designing effective AI-use disclosures that inform readers without imposing unnecessary burden is a key challenge.…
Eyes Can't Always Tell: Fusing Eye Tracking and User Priors for User Modeling under AI Advice Conditions
Xin Sun, Shu Wei, Ting Pan +5
Modeling users' cognitive states (e.g., cognitive load and decision confidence) is essential for building adaptive AI in high-stakes decision-making. While eye tracking provides no…
Seeing the Reasoning: How LLM Rationales Influence User Trust and Decision-Making in Factual Verification Tasks
Xin Sun, Shu Wei, Jos A Bosch +3
Large Language Models (LLMs) increasingly show reasoning rationales alongside their answers, turning "reasoning" into a user-interface element. While step-by-step rationales are ty…
More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Production
Amber Kusters, Pooja Prajod, Pablo Cesar +1
Within journalistic editorial processes, disclosing AI usage is currently limited to simplistic labels, which misses the nuance of how humans and AI collaborated on a news article.…
Full Disclosure, Less Trust? How the Level of Detail about AI Use in News Writing Affects Readers' Trust
Pooja Prajod, Hannes Cools, Thomas Röggla +5
As artificial intelligence (AI) is increasingly integrated into news production, calls for transparency about the use of AI have gained considerable traction. Recent studies sugges…