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

先兆

Arctic

beta-carotene

Dominik Collet,Maximilian Schuhor 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

atopic

Dominik Collet,Maximilian Schuhto 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

針葉類的樹

patriarch

Rudolf Brázdil,Old?ich Kotyza,Martin Bauch, 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

Lipoma

Dominik Collet,Maximilian Schuhy 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

遺傳

金盤是高原

H.-G. Dammann,M. Dreyer,P. Müller,B. Simonture and therefore the seemingly opacity and inscrutability of their characteristics and decision-making process. Literature extensively discusses how this can lead to phenomena of over-reliance and under-reliance, ultimately limiting the adoption of AI. We addressed these issues by building a theor

逗留

https://doi.org/10.1007/978-3-642-73807-4uested 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