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{ "item_title" : "Human-Centered AI and Machine Learning for e-Collaboration", "item_author" : [" Jingyuan Zhao", "V. Vinoth Kumar", "Joseph Richards "], "item_description" : "Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, and more", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/833/738/9798337382180_b.jpg", "price_data" : { "retail_price" : "220.00", "online_price" : "220.00", "our_price" : "220.00", "club_price" : "220.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Human-Centered AI and Machine Learning for e-Collaboration|Jingyuan Zhao

Human-Centered AI and Machine Learning for e-Collaboration

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Overview

Rather than replacing the way people work together, digital human-centered AI and machine learning for e-collaboration focus on designing technologies that enhance how people collaborate. By prioritizing human needs, these systems enable teams to collaborate more effectively across distances and time zones. AI-driven tools can help streamline communication and adapt to individual and group workflows, all while keeping humans firmly in control. This approach ensures that e-collaboration becomes not only more efficient but also more inclusive and aligned with the ways people naturally interact. Human-Centered AI and Machine Learning for e-Collaboration explores how AI and humans communicate and collaborate. It examines collaboration technologies and tools through human-centered AI and provides fresh ideas on how real-world challenges set new frontiers. Covering topics such as AI, machine learning, and e-collaboration, this book is an excellent resource for academicians, policy makers, researchers, librarians, and more

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Details

  • ISBN-13: 9798337382180
  • ISBN-10: 9798337382180
  • Publisher: Igi Global Scientific Publishing
  • Publish Date: June 2026
  • Dimensions: 10 x 7 x 0.99 inches
  • Shipping Weight: 1.86 pounds
  • Page Count: 492

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