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This edited book explores the many interesting questions that lie at the intersection between AI and HCI. It covers a comprehensive set of perspectives, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously challenging or impossible to address.
It starts with addressing classic HCI topics, including human behaviour modeling and input, and then dedicates a section to data and tools, two technical pillars of modern AI methods. These chapters exemplify how state-of-the-art deep learning methods infuse new directions and allow researchers to tackle long standing and newly emerging HCI problems alike. Artificial Intelligence for Human Computer Interaction: A Modern Approach concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation.商品描述(中文翻譯)
這本編輯過的書探討了人工智慧（AI）和人機互動（HCI）交叉領域中的許多有趣問題。它涵蓋了一系列觀點、方法和專案，介紹了現代AI方法對HCI研究人員和從業人員帶來的挑戰和機會。這些章節明確地偏離了傳統的HCI方法，利用數據驅動和深度學習方法來解決以前難以應對或不可能解決的HCI問題。
它首先討論了經典的HCI主題，包括人類行為建模和輸入，然後專門介紹了數據和工具這兩個現代AI方法的技術支柱。這些章節展示了最先進的深度學習方法如何注入新的方向，使研究人員能夠解決長期存在和新興的HCI問題。《人機互動的人工智慧：一種現代方法》最後一部分是關於特定領域的章節，涵蓋了一系列新興的HCI領域，現代AI方法在這些領域中開始展示出真正的影響，例如個性化醫療、設計和UI自動化。
