:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Seitenov, Altynbek, Nurzhanova, Ainur, Bekbussinova, Azhar, Bolatkan, Yerassyl
Format:	Preprint
Published:	2026
Subjects:	Human-Computer Interaction
Online Access:	https://arxiv.org/abs/2604.16340
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Trust in Transparency: How Explainable AI Shapes User Perceptions
by: Sunny, Allen Daniel
Published: (2025)

Socially Minded Intelligence: How Individuals, Groups, and Artificial Intelligence Can Make Each Other Smarter (or Not)
by: Bingley, William J., et al.
Published: (2024)

Concept-based Explainable Artificial Intelligence: A Survey
by: Poeta, Eleonora, et al.
Published: (2023)

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

Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies
by: Ma, Shuai
Published: (2024)

A Survey of Accessible Explainable Artificial Intelligence Research
by: Nwokoye, Chukwunonso Henry, et al.
Published: (2024)

False Sense of Security in Explainable Artificial Intelligence (XAI)
by: Chung, Neo Christopher, et al.
Published: (2024)

Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
by: Panigrahi, Indu, et al.
Published: (2025)

Explainability for Transparent Conversational Information-Seeking
by: Łajewska, Weronika, et al.
Published: (2024)

Development of a persuasive User Experience Research (UXR) Point of View for Explainable Artificial Intelligence (XAI)
by: Naiseh, Mohammad, et al.
Published: (2025)

Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025)

Measuring Transparency in Intelligent Robots
by: Angelopoulos, Georgios, et al.
Published: (2024)

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

Advancing Problem-Based Learning with Clinical Reasoning for Improved Differential Diagnosis in Medical Education
by: Xu, Yuansong, et al.
Published: (2025)

Agentic Explainable Artificial Intelligence (Agentic XAI) Approach To Explore Better Explanation
by: Yamaguchi, Tomoaki, et al.
Published: (2025)

Artificial Intelligence Can Emulate Human Normative Judgments on Emotional Visual Scenes
by: Romeo, Zaira, et al.
Published: (2025)

Leveraging Artificial Intelligence to Promote Awareness in Augmented Reality Systems
by: Li, Wangfan, et al.
Published: (2024)

System 0: Transforming Artificial Intelligence into a Cognitive Extension
by: Chiriatti, Massimo, et al.
Published: (2025)

How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study
by: Gautam, Sanjana, et al.
Published: (2026)

Research on Older Adults' Interaction with E-Health Interface Based on Explainable Artificial Intelligence
by: Huang, Xueting, et al.
Published: (2024)

Explainability and AI Confidence in Clinical Decision Support Systems: Effects on Trust, Diagnostic Performance, and Cognitive Load in Breast Cancer Care
by: Rezaeian, Olya, et al.
Published: (2025)

Domain Knowledge in Artificial Intelligence: Using Conceptual Modeling to Increase Machine Learning Accuracy and Explainability
by: Storey, V. C., et al.
Published: (2025)

Discerning Authorship in Online Health Communities: Experience, Trust, and Transparency Implications for Moderating AI
by: Shulman, Yefim, et al.
Published: (2026)

Using Artificial Intelligence to Improve Classroom Learning Experience
by: Hossain, Shadeeb
Published: (2025)

Assessing Policy Updates: Toward Trust-Preserving Intelligent User Interfaces
by: Solomon, Matan, et al.
Published: (2025)

Be Friendly, Not Friends: How LLM Sycophancy Shapes User Trust
by: Sun, Yuan, et al.
Published: (2025)

A User-Centric Analysis of Explainability in AI-Based Medical Image Diagnosis
by: Wagner, Julia, et al.
Published: (2026)

Artificial Emotion: A Survey of Theories and Debates on Realising Emotion in Artificial Intelligence
by: Li, Yupei, et al.
Published: (2025)

Envisioning Generative Artificial Intelligence in Cartography and Mapmaking
by: Kang, Yuhao, et al.
Published: (2025)

Neuro-Symbolic Artificial Intelligence for Patient Monitoring
by: Fenske, Ole, et al.
Published: (2024)

MICA: Medical Intelligent Conversational AgentHow to optimize medical teleconsultations for sports patients via a conversational agent?
by: Cervoni, Laurent, et al.
Published: (2024)

Exploring Radiologists' Expectations of Explainable Machine Learning Models in Medical Image Analysis
by: Ketabi, Sara, et al.
Published: (2026)

What Motivates People to Trust 'AI' Systems?
by: Inie, Nanna
Published: (2024)

Human-Centered Artificial Intelligence (HCAI): Foundations and Approaches
by: Xu, Wei
Published: (2026)

Human-Centered Artificial Social Intelligence (HC-ASI)
by: Pan, Hanxi, et al.
Published: (2025)

Shades of Uncertainty: How AI Uncertainty Visualizations Affect Trust in Alzheimer's Predictions
by: Reyes, Jonatan, et al.
Published: (2026)

Designing with Culture: How Social Norms Shape Trust and Preference in Health Chatbots
by: Wadhwa, Arpita, et al.
Published: (2025)

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

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

Privacy Meets Explainability: Managing Confidential Data and Transparency Policies in LLM-Empowered Science
by: Shanmugarasa, Yashothara, et al.
Published: (2025)