معرفی
Daniel Hernandez Garcia serves as a Research Fellow in the Department of Computer Science within the School of Mathematical and Computer Sciences at Heriot-Watt University, United Kingdom. His academic work focuses on advancing human-robot interaction through socially assistive robotics and large language model integration, particularly for healthcare applications in geriatric settings.
His primary research domains include Human-Robot Interaction (HRI), Social Robotics, and Large Language Model applications in robotic systems. He investigates practical implementations of robots in geriatric care institutions to enhance interaction quality through language models, examines viability of at-home cognitive monitoring systems for elderly populations, and studies behavioral impacts of robots on human risk assessment. This work bridges computer science with healthcare and psychology.
Analysis of his 2024-2025 publications reveals strong emphasis on real-world robot deployment challenges, including acceptability/usability evaluation in healthcare environments, development of holistic assessment frameworks for conversational agents, and establishing reliable, reproducible methodologies in HRI research. His interdisciplinary approach consistently addresses technical robustness alongside human factors considerations across diverse application contexts.
While no specific student advisement or grant details appear in available records, his collaborative projects involve international researchers across institutions as evidenced by multi-author publications in geriatric care robotics and conversational systems.
Dr. Hernandez Garcia participates in a dynamic research network connecting academic institutions and healthcare facilities, with current work indicating focus on improving robot reliability, accessibility, and ethical frameworks for socially assistive technologies in aging populations.
