Mauliana Mauliana
Papers
1
Total Citations
6
H-Index
1
About
Mauliana Mauliana is a rising researcher at the forefront of human-robot interaction (HRI), with a specific focus on integrating large language models (LLMs) into social robotics. Her most cited work, "Exploring LLM-powered multi-session human-robot interactions with university students" (2025, 6 citations), provides foundational insights into how open-domain, multi-session dialogues with an LLM-powered social humanoid robot (SHR) named EMAH shape user perceptions and adoption willingness. By conducting a study with 13 university students across four sessions, Mauliana demonstrates how sustained, natural language interactions can foster more meaningful human-robot bonds, moving beyond single-session novelty. This exploratory research is pivotal for designing socially intelligent robots that can serve in educational and public settings. Her contributions highlight the critical role of LLMs in enabling robots to engage in coherent, context-aware conversations over time, a key challenge in the field. As an early-career scholar, Mauliana’s work is already influencing the trajectory of socially assistive robotics, promising to make human-robot collaboration more intuitive and accepted in everyday life.
Research Focus
Key Achievements
Top Papers
- 1