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Synergy of Human-Centered AI and Cyber-Physical-Social Systems for Enhanced Cognitive Situation Awareness: Applications, Challenges and Opportunities.
- Source :
- Cognitive Computation; Sep2024, Vol. 16 Issue 5, p2735-2755, 21p
- Publication Year :
- 2024
-
Abstract
- This paper explores the convergence of Human-Centered AI (HCAI) and Cyber-Physical Social Systems (CPSS) in pursuing advanced Cognitive Situation Awareness (CSA). Integrating HCAI principles within CPSS fosters systems prioritizing human needs, values, and experiences, improving perception, understanding, and responsiveness to complex environments. By incorporating transparency, interpretability, and usability into Artificial Intelligence (AI) systems, the human-centered approach enhances user interaction and cooperation with intelligent systems, leading to more adaptive and efficient CPSS. The study employs a comprehensive approach to explore the intersection of HCAI and CPSS. Moreover, the paper presents case studies to illustrate real-world applications of HCAI and CPSS, such as self-driving cars and smart homes, transportation, healthcare, energy management, social media, and emergency response systems. Nevertheless, technical complexities, privacy concerns, and regulatory considerations must be addressed. The paper demonstrates the practical implications of integrating HCAI into CPSS through case studies in various domains. Furthermore, It highlights the positive impact of CSA systems such as self-driving cars, showcasing improvements in transportation. This paper contributes to advancing CSA and designing intelligent systems, promoting human–machine collaboration and societal well-being. By examining the intersection of HCAI and CPSS, this study advances research in CSA and designing intelligent systems prioritizing human needs, values, and experiences. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18669956
- Volume :
- 16
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Cognitive Computation
- Publication Type :
- Academic Journal
- Accession number :
- 178877047
- Full Text :
- https://doi.org/10.1007/s12559-024-10271-7