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All Journal International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) International Conference on Health Science, Green Economics, Educational Review and Technology (IHERT)
Syeda Hifsa Naaz
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Energy Health Professions Social Sciences Other

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ADVANCING HUMAN-ROBOT INTERACTION FOR ASSISTIVE TECHNOLOGIES IN HEALTHCARE Umme Sania; Syeda Hifsa Naaz
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 4 No. 3 (2024): November 2024 - February 2025
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/irpitage.v4i3.2421

Abstract

The integration of robotics into healthcare has the potential to revolutionize patient care and support for caregivers, particularly through assistive technologies. However, effective Human-Robot Interaction (HRI) remains a critical challenge, limiting the adaptability, trust, and usability of these systems. This study explores advanced methodologies to enhance HRI for assistive robots, focusing on improving emotional intelligence, adaptability, and user experience. Key innovations include the implementation of AI-powered emotion recognition systems, adaptive interaction models using reinforcement learning, and multimodal communication that combines speech, gestures, and visual cues. These features aim to create intuitive and empathetic robotic systems that can better understand and respond to diverse patient needs. The proposed framework is tested in simulated healthcare environments, evaluating its effectiveness through metrics like usability, trust, and patient outcomes. Preliminary findings indicate that enhancing HRI significantly improves patient engagement and reduces caregiver burden. By addressing ethical considerations and cultural sensitivities, this research contributes to the development of socially acceptable, technically advanced assistive technologies, paving the way for a more human-centered approach to robotics in healthcare.
"Advancing Human-Robot Interaction for Assistive Technologies in Healthcare" Umme Sania; Syeda Hifsa Naaz
International Conference on Health Science, Green Economics, Educational Review and Technology Vol. 6 No. 2 (2024): 8th IHERT (2024): IHERT (2024) SECOND ISSUE: International Conference on Health
Publisher : Universitas Efarina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ihert.v6i2.442

Abstract

The integration of robotics into healthcare has the potential to revolutionize patient care and support for caregivers, particularly through assistive technologies. However, effective Human-Robot Interaction (HRI) remains a critical challenge, limiting the adaptability, trust, and usability of these systems. This study explores advanced methodologies to enhance HRI for assistive robots, focusing on improving emotional intelligence, adaptability, and user experience. Key innovations include the implementation of AI-powered emotion recognition systems, adaptive interaction models using reinforcement learning, and multimodal communication that combines speech, gestures, and visual cues. These features aim to create intuitive and empathetic robotic systems that can better understand and respond to diverse patient needs. The proposed framework is tested in simulated healthcare environments, evaluating its effectiveness through metrics like usability, trust, and patient outcomes. Preliminary findings indicate that enhancing HRI significantly improves patient engagement and reduces caregiver burden. By addressing ethical considerations and cultural sensitivities, this research contributes to the development of socially acceptable, technically advanced assistive technologies, paving the way for a more human-centered approach to robotics in healthcare.
Co-Authors Umme Sania