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Titlebook: Artificial Intelligence in HCI; 4th International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2023 The Editor(s) (if applicable)

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樓主: Indigent
41#
發(fā)表于 2025-3-28 17:59:57 | 只看該作者
Women, The Family and Unemployment,w that artificial intelligence technology can bring a new solution space combined of virtual coach and empowering fitness game systems. Through the advantages of balanced competition and co-created game characters, an AI empowered fitness game can effectively enhance player engagement under reasonable cost.
42#
發(fā)表于 2025-3-28 22:17:51 | 只看該作者
Nabila El-Bassel,Robert H. Remiene aggregation method significantly affects the rankings, with behavioral aggregation having a more significant impact than mean and median aggregation. On the other hand, the Delphi method had minimal impact on the rankings compared to individual rankings.
43#
發(fā)表于 2025-3-29 02:03:01 | 只看該作者
Larry D. Icard,Colleen DiLorio,Jay S. Faganditional to these treatments, we varied the domain of the task. Our results demonstrate that long response times are associated with lower algorithm aversion, both when subjects think fast and slow. Moreover, when subjects were thinking fast, we found significant differences in algorithm aversion between the task domains.
44#
發(fā)表于 2025-3-29 04:58:42 | 只看該作者
https://doi.org/10.1007/978-94-015-9980-1ically significant correlation with the level of trust. The implications of this study are that AI performance and type of explanations both have an effect on the level of user trust in AI. Also this work could be extended to develop an objective measure of trust using physiological data.
45#
發(fā)表于 2025-3-29 07:39:32 | 只看該作者
Eine Frau meckert, der Mann diskutiert!,nable AI (XAI). This approach provides a comprehensive method to generate explanations via validations from both causality and XAI to ensure trustworthiness, fairness, and bias detection from both within the data, as well as the AI/ML models themselves for artificial reasoning systems.
46#
發(fā)表于 2025-3-29 11:56:14 | 只看該作者
A Dynamic Fitness Game Content Generation System Based on Machine Learningw that artificial intelligence technology can bring a new solution space combined of virtual coach and empowering fitness game systems. Through the advantages of balanced competition and co-created game characters, an AI empowered fitness game can effectively enhance player engagement under reasonable cost.
47#
發(fā)表于 2025-3-29 19:05:49 | 只看該作者
48#
發(fā)表于 2025-3-29 20:01:42 | 只看該作者
The Role of?Response Time for?Algorithm Aversion in?Fast and Slow Thinking Tasksditional to these treatments, we varied the domain of the task. Our results demonstrate that long response times are associated with lower algorithm aversion, both when subjects think fast and slow. Moreover, when subjects were thinking fast, we found significant differences in algorithm aversion between the task domains.
49#
發(fā)表于 2025-3-30 00:17:21 | 只看該作者
50#
發(fā)表于 2025-3-30 07:11:02 | 只看該作者
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