Cover Image

ExplainitAI: When do we trust artificial intelligence? The influence of content and explainability in a cross-cultural comparison

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Sora, Potinteu, Andreea-Elena, Said, Nadia
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

Theatrical Language Processing: Exploring AI-Augmented Improvisational Acting and Scriptwriting with LLMs
by: Kang, Sora, et al.
Published: (2025)

An NLP-Driven Approach Using Twitter Data for Tailored K-pop Artist Recommendations
by: Kang, Sora, et al.
Published: (2025)

The benefits and costs of explainable artificial intelligence in visual quality control: Evidence from fault detection performance and eye movements
by: Müller, Romy, et al.
Published: (2023)

Wait or cross? Understanding the influence of behavioral tendency, trust, and risk perception on pedestrian gap-acceptance of automated truck platoons
by: Ye, Yun, et al.
Published: (2026)

PassAI: explainable artificial intelligence algorithm for soccer pass analysis using multimodal information resources
by: Takamido, Ryota, et al.
Published: (2025)

Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaboration
by: McGrath, Melanie J., et al.
Published: (2024)

One stout to rule them all: Reconciling artificial intelligence, data science and malted alcoholic beverages
by: Usynin, Dmitrii, et al.
Published: (2026)

Actor's Note: Examining the Role of AI-Generated Questions in Character Journaling for Actor Training
by: Kang, Sora, et al.
Published: (2026)

When learning analytics dashboard is explainable: An exploratory study on the effect of GenAI-supported learning analytics dashboard
by: Chen, Angxuan
Published: (2025)

When more precision is worse: Do people recognize inadequate scene representations in concept-based explainable AI?
by: Müller, Romy, et al.
Published: (2026)

Designing a User Interface for Generative Design in Augmented Reality: A Step Towards More Visualization and Feed-Forwarding
by: Kang, Sora, et al.
Published: (2025)

Vibe coding: programming through conversation with artificial intelligence
by: Sarkar, Advait, et al.
Published: (2025)

Promises and challenges of generative artificial intelligence for human learning
by: Yan, Lixiang, et al.
Published: (2024)

Analyzing Human Heuristics and Strategies in Everyday Decision-Making Conversations for Conversational AI Design
by: Kang, Sora, et al.
Published: (2026)

A proposal for a revised meta-architecture of intelligent tutoring systems to foster explainability and transparency for educators
by: Gnadlinger, Florian, et al.
Published: (2024)

AI Thinking: A framework for rethinking artificial intelligence in practice
by: Newman-Griffis, Denis
Published: (2024)

How to explain it to data scientists? A mixed-methods user study about explainable AI, using mental models for explanations
by: Degen, Helmut, et al.
Published: (2025)

A qualitative field study on explainable AI for lay users subjected to AI cyberattacks
by: McAreavey, Kevin, et al.
Published: (2024)

A race to belief: How Evidence Accumulation shapes trust in AI and Human informants
by: Galindez-Acosta, Johan Sebastián, et al.
Published: (2025)

"If we misunderstand the client, we misspend 100 hours": Exploring conversational AI and response types for information elicitation
by: Paludan, Daniel Hove, et al.
Published: (2025)

What is the role of human decisions in a world of artificial intelligence: an economic evaluation of human-AI collaboration in diabetic retinopathy screening
by: Wang, Yueye, et al.
Published: (2025)

Agentivism: a learning theory for the age of artificial intelligence
by: Yan, Lixiang, et al.
Published: (2026)

Using artificial intelligence methods for the studyed visual analyzer
by: Medvedeva, A. I., et al.
Published: (2024)

Exploring patient trust in clinical advice from AI-driven LLMs like ChatGPT for self-diagnosis
by: Du, Delong, et al.
Published: (2024)

Generative artificial intelligence enhances creativity but reduces the diversity of novel content
by: Doshi, Anil R., et al.
Published: (2023)

Cross-cultural analysis of pedestrian group behaviour influence on crossing decisions in interactions with autonomous vehicles
by: Serrano, Sergio Martín, et al.
Published: (2024)

When Peers Outperform AI (and When They Don't): Interaction Quality Over Modality
by: Morris, Caitlin, et al.
Published: (2026)

The use of artificial intelligence in music creation: between interface and appropriation
by: Zeller, Arnaud, et al.
Published: (2025)

Teaching with AI: A Systematic Review of Chatbots, Generative Tools, and Tutoring Systems in Programming Education
by: Elnaffar, Said, et al.
Published: (2025)

When and How AI Should Assist Brainstorming for AI Impact Assessment
by: Govers, Jarod, et al.
Published: (2026)

Let people fail! Exploring the influence of explainable virtual and robotic agents in learning-by-doing tasks
by: Matarese, Marco, et al.
Published: (2024)

Not someone, but something: Rethinking trust in the age of medical AI
by: Beger, Jan
Published: (2025)

"How can we learn and use AI at the same time?": Participatory Design of GenAI with High School Students
by: Pu, Isabella, et al.
Published: (2025)

Social physics in the age of artificial intelligence
by: Han, The Anh, et al.
Published: (2026)

When not to help: planning for lasting human-AI collaboration
by: Steyvers, Mark, et al.
Published: (2025)

"Why do we do this?": Moral Stress and the Affective Experience of Ethics in Practice
by: Rattay, Sonja, et al.
Published: (2025)

"Are we writing an advice column for Spock here?" Understanding Stereotypes in AI Advice for Autistic Users
by: Wohn, Caleb, et al.
Published: (2026)

TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease
by: Li, Zuotian, et al.
Published: (2024)

Educational impacts of generative artificial intelligence on learning and performance of engineering students in China
by: Fan, Lei, et al.
Published: (2025)

Biased AI improves human decision-making but reduces trust
by: Lai, Shiyang, et al.
Published: (2025)