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Human-AI Cognitive Technology : Hybrid Intelligence Techniques for Cognitive and Technostress Optimization in Software System Engineering Decision-Making Pathways for Better Health and Well-Being
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Human-AI Cognitive Technology : Hybrid Intelligence Techniques for Cognitive and Technostress Optimization in Software System Engineering Decision-Making Pathways for Better Health and Well-Being
This book explores Human AI cognitive technology as a system thinking pathway for reducing cognitive workload, technostress, and workplace frustration while improving health, well-being, and decision-making. Integrating artificial intelligence, human cognition, software engineering, machine learning, big-data analytics, and hybrid intelligence, it presents theoretical frameworks, methodological approaches, and practical applications across education, industry, healthcare, literature, and social media. Through design science, predictive modeling, system thinking, data warehousing, sentiment analysis, EEG, and self-assessment techniques, the book demonstrates how responsible Human AI collaboration can enhance quality assurance and personalized support.
It offers researchers, students, professionals, and socio-technical organizations a comprehensive roadmap for developing sustainable, intelligent, and human-centered systems.
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| 発売予定 | 2027年2月18日 |
| ISBN13 | 9781041313397 |
| 出版社 | Taylor & Francis Ltd |
| ページ数 | 390 |
| 寸法 | 150 × 220 × 20 mm · 617 g (重量（概算）) |
