Panayotis Karioris

Institute for Language and Speech Processing

Papers

Total Citations

H-Index

About

Panayotis Karioris is a researcher focused on human-robot interaction, assistive robotics, and multimodal communication systems. His most-cited work, "Data Acquisition towards Defining a Multimodal Interaction Model for Human – Assistive Robot Communication" (2014, 17 citations), establishes a foundational framework for how humans and assistive robots can exchange information through multiple channels—such as speech, gesture, and touch—to create more intuitive and effective interactions. This contribution is particularly significant in the context of developing robots that support individuals with disabilities or elderly users, where natural communication is essential for usability and trust. By emphasizing data-driven modeling of these interactions, Karioris has helped bridge the gap between technical system design and real-world user needs. His research underscores the importance of integrating diverse sensory inputs to enable robots to interpret human intent more accurately, a key challenge in assistive technology. While his citation count reflects a focused, early-career impact, his work continues to inform studies on adaptive human-robot interfaces and user-centered design in robotics.