Synergy of Human-Centered AI and Cyber-Physical-Social Systems for Enhanced Cognitive Situation Awareness: Applications, Challenges and Opportunities

IF 4.3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Saeed Hamood Alsamhi, Santosh Kumar, Ammar Hawbani, Alexey V. Shvetsov, Liang Zhao, Mohsen Guizani
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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 Image

以人为本的人工智能与网络-物理-社会系统协同增强认知态势感知:应用、挑战和机遇
本文探讨了以人为本的人工智能(HCAI)与网络物理社会系统(CPSS)在追求高级认知态势感知(CSA)方面的融合。在 CPSS 中融入 HCAI 原则,可促进系统优先考虑人类的需求、价值观和体验,提高对复杂环境的感知、理解和响应能力。通过将透明度、可解释性和可用性融入人工智能(AI)系统,以人为本的方法增强了用户与智能系统的互动和合作,从而提高了 CPSS 的适应性和效率。本研究采用了一种综合方法来探索 HCAI 与 CPSS 的交叉点。此外,论文还通过案例研究来说明 HCAI 和 CPSS 在现实世界中的应用,如自动驾驶汽车和智能家居、交通、医疗保健、能源管理、社交媒体和应急响应系统。然而,技术复杂性、隐私问题和监管方面的考虑因素必须得到解决。本文通过不同领域的案例研究,展示了将 HCAI 集成到 CPSS 中的实际意义。此外,本文还强调了 CSA 系统(如自动驾驶汽车)的积极影响,展示了对交通的改善。本文有助于推进 CSA 和设计智能系统,促进人机协作和社会福祉。通过研究 HCAI 和 CPSS 的交叉点,本研究推动了 CSA 研究和优先考虑人类需求、价值观和体验的智能系统设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cognitive Computation
Cognitive Computation COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-NEUROSCIENCES
CiteScore
9.30
自引率
3.70%
发文量
116
审稿时长
>12 weeks
期刊介绍: Cognitive Computation is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles describing original basic and applied work involving biologically-inspired computational accounts of all aspects of natural and artificial cognitive systems. It provides a new platform for the dissemination of research, current practices and future trends in the emerging discipline of cognitive computation that bridges the gap between life sciences, social sciences, engineering, physical and mathematical sciences, and humanities.
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