Description
Book Synopsis.- Trust and Explainability in Human-AI Interaction.
.- Assessing Conversational Capabilities of Explanatory AI Interfaces.
.- Advancing XAI Development: An Agile Framework for Human-Centered and Explainable AI.
.- How to Explain it to a Data Scientist? A Mixed-Methods User Study About Explainable AI, Using Mental Models for Explanations.
.- What Makes People Use Social Robots? Integrating Trustworthiness Into the UTAUT Model.
.- Means to an End: Assessing the Validity of Trust in Automation Scales in Artificial Intelligence Vignettes.
.- Trust Calibration for Joint Human / AI Decision-making in Dynamic and Uncertain Contexts.
.- Examining Trust in Facial Recognition Systems in Mongolia.
.- User Perceptions, Acceptance, and Engagement with AI.
.- Tracking Individual Beliefs in Co-Situated Groups Using Multimodal Input.
.- Ensuring Acceptance of Surveillance through AI-supported Radar Technology.
.- Effects of Increased Usage of Artificial Intelligence (AI) Technology on User’s Perception of Dependency on Chatbots and Smart Home Systems.
