Daniel Macis

Papers

Total Citations

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About

Daniel Macis is an emerging researcher whose work sits at the intersection of robotics, human-computer interaction, and healthcare technology, with a particular focus on addressing some of society's most pressing demographic challenges. His research centers on the deployment of socially assistive robots (SARs) in elderly care settings, a field gaining urgent relevance as the global population ages at an unprecedented rate. Macis's most notable contribution, "Employing Socially Assistive Robots in Elderly Care" (2022), has already garnered 27 citations — a strong indicator of early impact — and directly confronts the looming care crisis projected by the World Health Organization, which estimates 2.1 billion people over 60 worldwide by 2050. By investigating how robotics can bridge the growing gap between care demand and workforce availability, Macis positions technology as a practical and compassionate solution to a humanitarian challenge. A subsequent expanded version of the work in 2023 further demonstrates his commitment to deepening and disseminating these findings. Though early in his career, Macis's focused research agenda and growing citation record suggest a researcher with meaningful contributions ahead in assistive technology and aging-related robotics innovation.