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All Journal International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) International Conference on Health Science, Green Economics, Educational Review and Technology (IHERT)
Umme Sania
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Agriculture, Biological Sciences & Forestry 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.
BLOCKCHAIN EMPOWERED SUPPLY CHAINMANAGEMENT: “ENHANCING TRANSPARENCY, TRACEABILITY, AND EFFICIENCY” Umme Sania
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 3 No. 5 (2024): APRIL
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v3i5.446

Abstract

Blockchain technology has emerged as a disruptive force with the potential to revolutionize various industries, and supply chain management is no exception. This paper delves into the application of blockchain technology in supply chain management, focusing on its ability to enhance transparency, traceability, and efficiency. By leveraging blockchain, organizations can track the movement of goods in real-time, verify product authenticity, and automate supply chain processes through smart contracts. Through an in-depth analysis of blockchain-based supply chain solutions, this paper explores how blockchain empowers supply chain management by providing transparent tracking of goods, ensuring immutable record-keeping, and streamlining various supply chain processes. By elucidating the potential of blockchain technology in supply chain management, this paper aims to provide insights into how organizations can harness blockchain to transform their supply chain processes and gain a competitive advantage in today’s dynamic marketplace.
"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 Syeda Hifsa Naaz