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Titlebook: HCI International 2023 – Late Breaking Papers; 25th International C Helmut Degen,Stavroula Ntoa,Abbas Moallem Conference proceedings 2023 T

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41#
發(fā)表于 2025-3-28 16:53:16 | 只看該作者
42#
發(fā)表于 2025-3-28 19:03:52 | 只看該作者
Abortion in Kenya: The Tyranny of Silence,around the topic and the resulting distrust in such technology; the missing user-centricity that leads to the development of undesired solutions; the fact that pre-defined solutions hinder project teams from adequately analyzing the business problem first; the insufficient cross-department collabora
43#
發(fā)表于 2025-3-29 02:06:42 | 只看該作者
The Absence of God in Modernist Literaturecial information to software and system designers who want to know where to emphasize and how to evaluate similar systems. Results provide rich details on the platform’s user experience, demonstrating how important it is to enhance online video streaming platforms with AI analysis features.
44#
發(fā)表于 2025-3-29 05:57:43 | 只看該作者
45#
發(fā)表于 2025-3-29 09:39:54 | 只看該作者
“Good” and “Bad” Machine Agency in the Context of Human-AI Communication: The Case of ChatGPTuman-machine interaction research. This is especially evident in relation to ChatGPT and other generative artificial intelligence (AI) tools. In this paper, we present an initial extension of S. Shyam Sundar’s theory of machine agency, specifically in the context of human-AI communication. We review
46#
發(fā)表于 2025-3-29 13:03:44 | 只看該作者
47#
發(fā)表于 2025-3-29 16:52:31 | 只看該作者
48#
發(fā)表于 2025-3-29 22:19:03 | 只看該作者
Comparison of Supervised Techniques of Artificial Intelligence in the Prediction of Cardiovascular Dal illness. Cardiovascular disease is a real threat for the Health Systems worldwide, mainly because it has become the diagnosis that claim a significant number of lives around the world. Currently, there is a growing need from health entities to integrate the use of technology. Cardiovascular disea
49#
發(fā)表于 2025-3-30 00:17:22 | 只看該作者
Shedding Light on the Black Box: Explainable AI for Predicting Household Appliance Failurest using them. Particularly, when the output is used for critical decision-making or has financial impacts on the business, trust and transparency is crucial. Explainable Artificial Intelligence (XAI) has been widely utilized in recent years to convert the black box of DL techniques into understandab
50#
發(fā)表于 2025-3-30 07:02:41 | 只看該作者
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