Cover Image

Understanding Trust Toward Human versus AI-generated Health Information through Behavioral and Physiological Sensing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Xin, Ma, Rongjun, Wei, Shu, Cesar, Pablo, Bosch, Jos A., Ali, Abdallah El
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Trusting the Search: Unraveling Human Trust in Health Information from Google and ChatGPT
by: Sun, Xin, et al.
Published: (2024)

Seeing the Reasoning: How LLM Rationales Influence User Trust and Decision-Making in Factual Verification Tasks
by: Sun, Xin, et al.
Published: (2026)

Eyes Can't Always Tell: Fusing Eye Tracking and User Priors for User Modeling under AI Advice Conditions
by: Sun, Xin, et al.
Published: (2026)

More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Production
by: Kusters, Amber, et al.
Published: (2026)

Full Disclosure, Less Trust? How the Level of Detail about AI Use in News Writing Affects Readers' Trust
by: Prajod, Pooja, et al.
Published: (2026)

Towards Gaze-Informed AI Disclosure Interfaces: Eye-Tracking Attentional and Cognitive Load While Reading AI-Assisted News
by: Prajod, Pooja, et al.
Published: (2026)

Can a Funny Chatbot Make a Difference? Infusing Humor into Conversational Agent for Behavioral Intervention
by: Sun, Xin, et al.
Published: (2024)

Script-Strategy Aligned Generation: Aligning LLMs with Expert-Crafted Dialogue Scripts and Therapeutic Strategies for Psychotherapy
by: Sun, Xin, et al.
Published: (2024)

Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory
by: Zhang, Shuning, et al.
Published: (2025)

Understanding Human-AI Trust in Education
by: Pitts, Griffin, et al.
Published: (2025)

Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design
by: Zhu, Qian, et al.
Published: (2024)

What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards GenAI
by: Choudhuri, Rudrajit, et al.
Published: (2024)

Is it Me? Toward Self-Extension to AI Avatars in Virtual Reality
by: Zhang, Jieying, et al.
Published: (2026)

"Do I Trust the AI?" Towards Trustworthy AI-Assisted Diagnosis: Understanding User Perception in LLM-Supported Reasoning
by: Xu, Yuansong, et al.
Published: (2026)

15 Years of Augmented Human(s) Research: Where Do We Stand?
by: Villa, Steeven, et al.
Published: (2026)

Aligning Human-AI-Interaction Trust for Mental Health Support: Survey and Position for Multi-Stakeholders
by: Sun, Xin, et al.
Published: (2026)

PPTP: Performance-Guided Physiological Signal-Based Trust Prediction in Human-Robot Collaboration
by: Guo, Hao, et al.
Published: (2025)

AI Trust Reshaping Administrative Burdens: Understanding Trust-Burden Dynamics in LLM-Assisted Benefits Systems
by: Jo, Jeongwon, et al.
Published: (2025)

Human and AI Trust: Trust Attitude Measurement Instrument
by: Larasati, Retno
Published: (2025)

Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support
by: Wang, Yimeng, et al.
Published: (2025)

Privacy in Human-AI Romantic Relationships: Concerns, Boundaries, and Agency
by: Ma, Rongjun, et al.
Published: (2026)

Interpretability is in the eye of the beholder: Human versus artificial classification of image segments generated by humans versus XAI
by: Müller, Romy, et al.
Published: (2023)

The Future of Work is Blended, Not Hybrid
by: Constantinides, Marios, et al.
Published: (2025)

Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How
by: Ali, Abdallah El, et al.
Published: (2024)

Take It, Leave It, or Fix It: Measuring Productivity and Trust in Human-AI Collaboration
by: Qian, Crystal, et al.
Published: (2024)

On the usability of generative AI: Human generative AI
by: Ravera, Anna, et al.
Published: (2025)

To Trust or Distrust Trust Measures: Validating Questionnaires for Trust in AI
by: Scharowski, Nicolas, et al.
Published: (2024)

Effect of AI Performance, Risk Perception, and Trust on Human Dependence in Deepfake Detection AI system
by: Zhou, Yingfan, et al.
Published: (2025)

Understanding Screenwriters' Practices, Attitudes, and Future Expectations in Human-AI Co-Creation
by: Tang, Yuying, et al.
Published: (2025)

The Trust in AI-Generated Health Advice (TAIGHA) Scale and Short Version (TAIGHA-S): Development and Validation Study
by: Kopka, Marvin, et al.
Published: (2025)

From Trust to Appropriate Reliance: Measurement Constructs in Human-AI Decision-Making
by: Raees, Muhammad, et al.
Published: (2026)

Revealing AI Reasoning Increases Trust but Crowds Out Unique Human Knowledge
by: Chen, Zenan, et al.
Published: (2025)

"Trust me on this" Explaining Agent Behavior to a Human Terminator
by: Menkes, Uri, et al.
Published: (2025)

"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making
by: Ma, Shuai, et al.
Published: (2024)

Understanding Mode Switching in Human-AI Collaboration: Behavioral Insights and Predictive Modeling
by: Nargund, Avinash Ajit, et al.
Published: (2025)

Perception of an AI Teammate in an Embodied Control Task Affects Team Performance, Reflected in Human Teammates' Behaviors and Physiological Responses
by: Qin, Yinuo, et al.
Published: (2025)

How Much Trust is Enough? Towards Calibrating Trust in Technology
by: Beltrão, Gabriela, et al.
Published: (2026)

Trust in AI among Middle Eastern CS Students: Investigating Students' Trust and Usage Patterns Across Saudi Arabia, Kuwait and Jordan
by: Alkhamees, Saleh, et al.
Published: (2026)

Understanding Physiological Responses of Students Over Different Courses
by: Ananthan, Soundariya, et al.
Published: (2024)

Understanding Educators' Perceptions of AI-generated Non-consensual Intimate Imagery
by: Li, Tongxin, et al.
Published: (2026)