Aaron Fanganello
Papers
2
Total Citations
8
H-Index
1
About
Aaron Fanganello is a rising researcher at the intersection of human-robot interaction and computational sociolinguistics, whose work investigates how robots can navigate the delicate social dynamics of human environments. His primary research areas include linguistic politeness strategies for robots, norm violation responses, and task instruction sequencing in collaborative robotics. Fanganello’s most cited paper, “What a Thing to Say! Which Linguistic Politeness Strategies Should Robots Use in Noncompliance Interactions?” (2024, 7 citations), makes a foundational contribution by exploring how social robots should respond when humans issue unethical commands, arguing that robots must balance competence with social appropriateness to maintain trust and cooperation. His follow-up work, “Givenness hierarchy theoretic sequencing of robot task instructions” (2025, 1 citation), introduces a novel framework for robots to teach human teammates new tasks by ordering instructions based on linguistic givenness hierarchies, addressing a critical gap in situated, dynamic instruction. Though early in his career, Fanganello’s research is already shaping how engineers design socially aware robots, with implications for eldercare, education, and collaborative manufacturing. His work stands out for bridging theoretical linguistics with practical robotics, offering a roadmap for machines that can both follow orders and push back appropriately.
Research Focus
Key Achievements
Top Papers
- 1
- 2Givenness hierarchy theoretic sequencing of robot task instructions1 citations · 2025