Raian Ali

How the different explanation classes impact trust calibration: The case of clinical decision support systems

2022 · 112 Zit. · International Journal of Human-Computer Studies

Personalising Explainable Recommendations: Literature and Conceptualisation

2020 · 38 Zit. · Advances in intelligent systems and computing

Can ChatGPT Be Addictive? A Call to Examine the Shift from Support to Dependence in AI Conversational Large Language Models

2025 · 38 Zit. · Human-Centric Intelligent Systems

On artificial intelligence and global mental health

2023 · 34 Zit. · Asian Journal of Psychiatry

Explainable Recommendations and Calibrated Trust: Two Systematic User Errors

2021 · 26 Zit. · Computer

C-XAI: A conceptual framework for designing XAI tools that support trust calibration

2024 · 20 Zit. · Journal of Responsible Technology

Explainable Recommendations in Intelligent Systems: Delivery Methods, Modalities and Risks

2020 · 20 Zit. · Lecture notes in business information processing

Can We Assess Attitudes Toward AI with Single Items? Associations with Existing Attitudes Toward AI Measures and Trust in ChatGPT

2025 · 13 Zit. · Journal of Technology in Behavioral Science

Working memory and the need for explainable AI – Scenarios from healthcare, social media and insurance

2025 · 4 Zit. · Heliyon

Shedding light on relationships between various attitudes towards AI measures and trust in generative AIs ChatGPT/Ernie Bot in a Chinese sample

2025 · 2 Zit. · Journal of Psychology and AI

Development and validation of a scale assessing perceived trustworthiness in large language models

2025 · 1 Zit.

Developing and Validating the Attitudes Toward Large Language Models Scale

2025 · 1 Zit.

Developing and Validating the Attitudes Toward Large Language Models Scale

2025 · 0 Zit.