hardheaded 发表于 2025-3-27 00:47:19
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Conference proceedings 2024mber 2023..The 12 regular papers were carefully reviewed and selected for inclusion in the book. They were organized in following topical sections: .Understanding and Enhancing Conversational Interactions, LLM-driven Conversational Design and Analysis, Ethical Perspectives and Bias, Complementing PeCharlatan 发表于 2025-3-27 11:45:56
0302-9743 ctions: .Understanding and Enhancing Conversational Interactions, LLM-driven Conversational Design and Analysis, Ethical Perspectives and Bias, Complementing Perspectives..978-3-031-54974-8978-3-031-54975-5Series ISSN 0302-9743 Series E-ISSN 1611-3349Agronomy 发表于 2025-3-27 14:08:28
Master Pages, Themes, and Control Skins,twithstanding the sophistication of artificial intelligence, the user experience should be prioritized through ongoing evaluation and improvement. Chatbots must be continually tunned to align with human interaction paradigms if they are used to be as valuable tools for citizens.太空 发表于 2025-3-27 19:46:03
https://doi.org/10.1007/978-1-4302-0104-5dynamically controlled non-verbal cues. With our findings, we contribute to research on social robots and LLMs by providing design knowledge for LLM-based social robots and by uncovering the benefits and challenges of integrating LLMs into a social robot.审问,审讯 发表于 2025-3-27 22:24:10
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Open Data Assistant, Lesson Learned of an Intelligent Assistant for Open Data Accesstwithstanding the sophistication of artificial intelligence, the user experience should be prioritized through ongoing evaluation and improvement. Chatbots must be continually tunned to align with human interaction paradigms if they are used to be as valuable tools for citizens.Ascendancy 发表于 2025-3-28 08:40:21
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Anticipating User Needs: Insights from Design Fiction on Conversational Agents for Computational Thit guides students stepwise through exercises, tuning its method of guidance with an awareness of the educational background, skills and deficits, and learning preferences. The insights obtained in this paper can guide future implementations of tutoring conversational agents oriented toward teaching computational thinking and computer programming.