Cover Image

Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shang, Ruoxi, Hsieh, Gary, Shah, Chirag
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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)

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

Adjust for Trust: Mitigating Trust-Induced Inappropriate Reliance on AI Assistance
by: Srinivasan, Tejas, et al.
Published: (2025)

Trust and Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators
by: Pitts, Griffin, et al.
Published: (2026)

Preliminary Quantitative Study on Explainability and Trust in AI Systems
by: Sunny, Allen Daniel
Published: (2025)

Why Trust in AI May Be Inevitable
by: Truong, Nghi, et al.
Published: (2025)

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

Predicting Trust Dynamics with Dynamic SEM in Human-AI Cooperation
by: Kaneko, Sota, et al.
Published: (2024)

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)

Revisiting Trust in the Era of Generative AI: Factorial Structure and Latent Profiles
by: Sun, Haocan, et al.
Published: (2025)

Personalized to Persuade: The Effects of Contextualization and Warmth on Trust and Reliance in Conversational AI
by: Yazan, Mert, et al.
Published: (2026)

Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals
by: Li, ZhaoBin, et al.
Published: (2026)

From Prompt Engineering to Prompt Science With Human in the Loop
by: Shah, Chirag
Published: (2024)

An Experimental Comparison of Cognitive Forcing Functions for Execution Plans in AI-Assisted Writing: Effects On Trust, Overreliance, and Perceived Critical Thinking
by: Ghosh, Ahana, et al.
Published: (2026)

VizTrust: A Visual Analytics Tool for Capturing User Trust Dynamics in Human-AI Communication
by: Wang, Xin, et al.
Published: (2025)

Perceptions of AI-CBT: Trust and Barriers in Chinese Postgrads
by: Sio, Chan-in, et al.
Published: (2025)

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

Understanding the Effects of Miscalibrated AI Confidence on User Trust, Reliance, and Decision Efficacy
by: Li, Jingshu, et al.
Published: (2024)

Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students
by: Zhang, Audrey, et al.
Published: (2025)

Anthropomorphism on Risk Perception: The Role of Trust and Domain Knowledge in Decision-Support AI
by: Reani, Manuele, et al.
Published: (2026)

The Fake Friend Dilemma: Trust and the Political Economy of Conversational AI
by: Erickson, Jacob
Published: (2026)

Not All Trust is the Same: Effects of Decision Workflow and Explanations in Human-AI Decision Making
by: Spillner, Laura, et al.
Published: (2026)

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

The Generative AI Paradox: GenAI and the Erosion of Trust, the Corrosion of Information Verification, and the Demise of Truth
by: Ferrara, Emilio
Published: (2026)

From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?
by: Inie, Nanna, et al.
Published: (2024)

A Multi-Layered Research Framework for Human-Centered AI: Defining the Path to Explainability and Trust
by: De Silva, Chameera, et al.
Published: (2025)

Agents Are Not Enough
by: Shah, Chirag, et al.
Published: (2024)

Synthetic Heuristic Evaluation: A Comparison between AI- and Human-Powered Usability Evaluation
by: Zhong, Ruican, et al.
Published: (2025)

Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development
by: Nguyen, Daniel, et al.
Published: (2024)

DoYouTrustAI: A Tool to Teach Students About AI Misinformation and Prompt Engineering
by: Driscoll, Phillip, et al.
Published: (2025)

CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents
by: Westhäußer, Rebecca, et al.
Published: (2025)

Anthropomorphism and Trust in Human-Large Language Model interactions
by: Kadambi, Akila, et al.
Published: (2026)

Human-AI Interactions: Cognitive, Behavioral, and Emotional Impacts
by: Riley, Celeste, et al.
Published: (2025)

Measuring Successful Cooperation in Human-AI Teamwork: Development and Validation of the Perceived Cooperativity and Teaming Perception Scales
by: Attig, Christiane, et al.
Published: (2026)

Trust Calibration in IDEs: Paving the Way for Widespread Adoption of AI Refactoring
by: Borg, Markus
Published: (2024)

Designing Explainable AI for Healthcare Reviews: Guidance on Adoption and Trust
by: Alamoudi, Eman, et al.
Published: (2026)

Through the Looking-Glass: AI-Mediated Video Communication Reduces Interpersonal Trust and Confidence in Judgments
by: Fernández, Nelson Navajas, et al.
Published: (2026)

AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?
by: Gor, Maharshi, et al.
Published: (2026)

Understanding Critical Thinking in Generative Artificial Intelligence Use: Development, Validation, and Correlates of the Critical Thinking in AI Use Scale
by: Lau, Gabriel R., et al.
Published: (2025)

Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models
by: Kaufman, Zhanna, et al.
Published: (2025)