42 citations · 114 across the 17 of their papers we have counts for
19 papers
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…
Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration
Jie Li, Youyang Hou, Laura Lin +3
Generative AI is reshaping product design practices through "vibe coding," where product team members express intent in natural language and AI translates it into functional protot…
The Future of Work is Blended, Not Hybrid
Marios Constantinides, Himanshu Verma, Shadan Sadeghian +1
The way we work is no longer hybrid -- it is blended with AI co-workers, automated decisions, and virtual presence reshaping human roles, agency, and expertise. We now work through…
Rethinking the Alignment of Psychotherapy Dialogue Generation with Motivational Interviewing Strategies
Xin Sun, Xiao Tang, Abdallah El Ali +5
Recent advancements in large language models (LLMs) have shown promise in generating psychotherapeutic dialogues, particularly in the context of motivational interviewing (MI). How…
Trusting the Search: Unraveling Human Trust in Health Information from Google and ChatGPT
Xin Sun, Rongjun Ma, Xiaochang Zhao +4
People increasingly rely on online sources for health information seeking due to their convenience and timeliness, traditionally using search engines like Google as the primary sea…
ShareYourReality: Investigating Haptic Feedback and Agency in Virtual Avatar Co-embodiment
Karthikeya Puttur Venkatraj, Wo Meijer, Monica Perusquía-Hernández +2
Virtual co-embodiment enables two users to share a single avatar in Virtual Reality (VR). During such experiences, the illusion of shared motion control can break during joint-acti…
Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How
Abdallah El Ali, Karthikeya Puttur Venkatraj, Sophie Morosoli +3
Advances in Generative Artificial Intelligence (AI) are resulting in AI-generated media output that is (nearly) indistinguishable from human-created content. This can drastically i…
PhysioCHI: Towards Best Practices for Integrating Physiological Signals in HCI
Francesco Chiossi, Ekaterina R. Stepanova, Benjamin Tag +5
Recently, we saw a trend toward using physiological signals in interactive systems. These signals, offering deep insights into users' internal states and health, herald a new era f…
User Experience Design Professionals' Perceptions of Generative Artificial Intelligence
Jie Li, Hancheng Cao, Laura Lin +3
Among creative professionals, Generative Artificial Intelligence (GenAI) has sparked excitement over its capabilities and fear over unanticipated consequences. How does GenAI impac…
Designing for Affective Augmentation: Assistive, Harmful, or Unfamiliar?
Abdallah El Ali
In what capacity are affective augmentations helpful to humans, and what risks (if any) do they pose? In this position paper, we outline three works on affective augmentation syste…
Social Virtual Reality Avatar Biosignal Animations as Availability Status Indicators
Abdallah El Ali, Sueyoon Lee, Pablo Cesar
In this position paper, we outline our research challenges in Affective Interactive Systems, and present recent work on visualizing avatar biosignals for social VR entertainment. W…
Towards SocialVR: Evaluating a Novel Technology for Watching Videos Together
Mario Montagud, Jie Li, Gianluca Cernigliario +3
Social VR enables people to interact over distance with others in real-time. It allows remote people, typically represented as avatars, to communicate and perform activities togeth…