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Titlebook: Artificial Intelligence in HCI; 5th International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2024 The Editor(s) (if applicable)

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樓主: MOURN
31#
發(fā)表于 2025-3-26 21:03:38 | 只看該作者
How to?Explain It to?System Testers?or the user role “system tester of AI-based systems.” It investigates whether established explanation types adequately address the explainability requirements of ML-based application testers. Through a qualitative study (n = 12), we identified the explanation needs for three user tasks: test strateg
32#
發(fā)表于 2025-3-27 04:16:54 | 只看該作者
WisCompanion: Integrating the?Socratic Method with?ChatGPT-Based AI for?Enhanced Explainability in?Eto provide tailored emotional support for older adults. This unique combination fosters critical thinking and engagement through iterative questioning, explicitly addressing older adults’ cognitive and emotional needs. This paper outlines a systematic approach for integrating a Socratic, ethical, an
33#
發(fā)表于 2025-3-27 07:16:02 | 只看該作者
34#
發(fā)表于 2025-3-27 10:40:31 | 只看該作者
What Is the?Focus of?XAI in?UI Design? Prioritizing UI Design Principles for?Enhancing XAI User Expe, the importance of user experience in XAI has become increasingly prominent. Simultaneously, the user interface (UI) serves as a crucial link between XAI and users. However, despite the existence of UI design principles for XAI, there is a lack of prioritization based on their significance. This wi
35#
發(fā)表于 2025-3-27 17:01:43 | 只看該作者
Navigating Transparency: The Influence of On-demand Explanations on Non-expert User Interaction withy advanced technology on the one hand and non-expert users on the other hand can lead to unfounded reliance. To improve collaboration between end-users and the system, Explainable AI (XAI) is gaining momentum. However, recent studies yield mixed results on the effects of explanations, leaving uncert
36#
發(fā)表于 2025-3-27 18:13:10 | 只看該作者
37#
發(fā)表于 2025-3-28 00:33:17 | 只看該作者
38#
發(fā)表于 2025-3-28 05:40:35 | 只看該作者
Operationalizing AI Explainability Using Interpretability Cues in?the?Cockpit: Insights from?User-Ceuested in the European Aviation Safety Agency’s AI Roadmap 2.0 in order to meet the requirement of Trustworthy AI. The IPAS is currently being developed to provide AI-based decision support in commercial aircraft to assist the flight crew, especially in emergency situations. The development of the I
39#
發(fā)表于 2025-3-28 08:34:21 | 只看該作者
0302-9743 -driven technologies; AI in industry and operations;..Part III: Large language models for enhanced interaction; advancing human-robot interaction through AI; AI applications for social impact and human wellbeing...?.978-3-031-60605-2978-3-031-60606-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
40#
發(fā)表于 2025-3-28 10:43:08 | 只看該作者
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