⚡ Quick Summary

This scoping review explores the emerging field of human-centered artificial intelligence (HCAI), emphasizing the design of AI systems that enhance human capabilities rather than replace them. The findings reveal a significant focus on the health sector, highlighting the need for clearer guidelines and methodologies in HCAI development.

🔍 Key Details

• 📊 Studies Reviewed: 14 studies from 2018 to 2023
• 🧩 Main Application Area: Health sector and AI applications
• ⚙️ Methodologies Used: Human-centered design in 3 studies, personas in 2 studies
• 📅 Review Period: Conducted following PRISMA-ScR guidelines

🔑 Key Takeaways

• 🤖 HCAI Focus: Prioritizes human needs, satisfaction, and trustworthiness in AI design.
• 🔍 Limited Studies: Only 14 out of 1035 studies met the inclusion criteria, indicating a nascent field.
• 🏥 Health Sector Emphasis: The majority of applications were found in healthcare settings.
• 💡 Methodological Gaps: Current principles and guidelines for HCAI are often vague and challenging to implement.
• 👥 User Involvement: Early user involvement in development is crucial for enhancing trust.
• 📉 Standardization Needed: There is a lack of standardized methodologies in HCAI.
• 🔗 Future Research: More practical applications adhering to HCAI principles are necessary.

📚 Background

The rapid growth of artificial intelligence (AI) technologies has prompted researchers to explore the concept of human-centered artificial intelligence (HCAI). This approach aims to create AI systems that support and enhance human abilities, rather than replacing them. As AI becomes increasingly integrated into various sectors, particularly healthcare, understanding the principles and methodologies of HCAI is essential for ensuring that these technologies serve human interests effectively.

🗒️ Study

The authors conducted a scoping review to gather insights on the design principles, techniques, applications, methods, and outcomes in the field of HCAI. Following the PRISMA-ScR guidelines, they searched databases such as PubMed, ScienceDirect, and IEEE Xplore, ultimately identifying 14 relevant studies published between 2018 and 2023. This review aims to shed light on the current state of HCAI and its alignment with broader human-centered design concepts.

📈 Results

Out of the 1035 studies initially retrieved, only 14 met the inclusion criteria, indicating a significant gap in research focused on HCAI. The health sector emerged as the primary application area, with various methodologies employed across the studies. Notably, human-centered design methodologies were utilized in three studies, while personas were used in two, showcasing a diverse yet limited methodological landscape.

🌍 Impact and Implications

The findings of this review underscore the importance of designing AI systems that prioritize human needs and trust, particularly in sensitive areas like healthcare. By involving users early in the development process, researchers and developers can enhance the effectiveness and acceptance of AI technologies. However, the lack of standardized methodologies and clear guidelines poses challenges that must be addressed to fully realize the potential of HCAI in improving human experiences.

🔮 Conclusion

This scoping review highlights the critical need for a more structured approach to human-centered artificial intelligence. As the field evolves, it is essential to develop clearer principles and methodologies that can guide the design of AI systems. By focusing on human needs and fostering user involvement, we can ensure that AI technologies enhance rather than hinder human capabilities. The future of HCAI holds great promise, and further research is vital to unlock its full potential.

💬 Your comments

What are your thoughts on the importance of human-centered design in AI? We would love to hear your insights! 💬 Share your comments below or connect with us on social media:

• 🐦 X
• 📘 Facebook
• 🔗 LinkedIn