Participants & Submissions

Aditya Gulati, Nuria Oliver

Why do we Trust Chatbots? From Normative Principles to Behavioral Drivers

Agnes Mercedes Kloft

Expectations, Biases, and Co‑Experience: Calibrating Trust in AI-systems and XR‑Mediated Social Experiences

Anna Verheyden, Simone Stumpf, Robin De Croon, Katrien Verbert

Bridging the Technical-Lay Gap: Human-Centered Design for Algorithmic Fairness in HR

Artin Tonekaboni, Xin Wang

Observing Trust Through Cognitive Distortion Patterns in Human–AI Debate: A Discourse Analytics Dashboard

Arwa Alrehaili, Sarah Clinch, Markel Vigo

Mapping Cognitive Biases in Physical Activity Tracking

Bezawit Lake Tilaye

Bias4Trust: Motivation essay

Carlos Castillo

Trust Calibration in High-Risk Decision Support Systems

Chaeyeon Lim

Making Bias Explorable for Metacognitive Scaffolding and Shared Regulation in Learning

Chitralekha Gupta, Nadia Victoria Aritonang, Dixon Prem Daniel, Valdemar Danry, Pattie Maes, Suranga Nanayakkara

Nudging Truth: Design Tensions in Wearable Fact-Checkers for Real-Time Misinformation Intervention

Connor Baumler

Designing for Engagement with Social Bias Challenging AI Suggestions

Dasuni Ganepola

Revisiting Cognitive Biases in Human-AI Interaction Through a Bayesian Perspective

David Sarlos

Designing Calibrated Reliance for Video in High-Stakes Human Decisions Under AI Influence

Gabriela Beltrão

Assessing Trust in Technology Across Cultures

Hanjing Shi, Dominic DiFranzo

When Visibility Outpaces Verification: Social Proof Bias and Narrative Lock-In in Pre-Interaction Trust Formation for Agentic AI

Heesung Kwon

From AI-Induced Technostress to Trust Calibration: Designing for Bias-Aware Generative AI Use at Work

Ilka Hein

The Role of Technology Transparency in Bias-Influenced Trust Dynamics

Jakob Schoeffer

Bias4Trust: Research Background and Motivation for Attending

Jarod Govers

Addressing Biases in 'Biased-by-design' Partisan Information in LLM Responses

JUNTI ZHANG, YUGIN TAN, RENWEN ZHANG, YITIAN YANG, YI-CHIEH LEE

Contextual AI Friction to Foster Mindful Interaction in Human-AI Collaboration

Karan Jain, Alex Chandy, Archit Kambhamettu

Exploring and Mitigating Overconfidence in Models that are Smaller

Magdalena Wischnewski

Cognitive Biases, Emotion, and Trust in AI Systems

Michaela Benk, Tim Miller

Same Performance, Hidden Bias: Evaluating Hypothesis- and Recommendation-Driven AI

Myra Cheng, Sunny Yu, Lujain Ibrahim, Diyi Yang, Dan Jurafsky

Verbalizing LLMs' Assumptions About the User to Calibrate Expectations

Patricia Kahr

Co-Evolution or Co-Dependency? Reinforcing Bias in Long-Term Human-Agent Interactions.

Quoc-Toan Nguyen

Trust Calibration in Human-Centred AI Systems Using Physiological Signals

Samuel Rhys Cox, Michael Yin, Niels van Berkel

How does Chatbot Memory and Framing Affect People’s Self-Disclosure Decisions?

Sarah Diefenbach, Daniel Ullrich, Marie Veihelmann

Biases Behind Overtrust in AI: Critical Reflections On An Appropriate Mental Model Of LLMs

Simon W.S. Fischer

Questions: Adding Friction and Promoting Cognitive Engagement in Human-AI Decision-Making

Soohwan Lee, Kyungho Lee

Multi-Agent Consensus as a Cognitive Bias Trigger in Human-AI Interaction

Thitaree Tanprasert

Mitigating AI-induced Skill Erosion in Medical Experts

Xianhao Carton Liu, Difan Jia, Tongyu Nie, Evan Suma Rosenberg, Victoria Interrante, Chen Zhu-Tian

Understanding Biases in Human-AI Spatial Decision-Making via AR Visualizations

Xingrui Gu

Task-Aware Delegation Cues for LLM Agents

Yulu Pi

Biases in Teams: Exploring Group Cognitive Biases in Human–AI Collaboration

Zifei FeiFei Han, Jane L. E

Learning to Trust: Cognitive Biases, Skill Formation, and Trust Calibration in Human–AI Interaction