Nora Haak

Papers

Total Citations

H-Index

About

Nora Haak is a leading researcher at the intersection of human-robot interaction and cultural computing, with a primary focus on how socially interactive agents (SIAs) perceive and express cultural identity. Her most-cited work, "The impact of mixed-cultural speech on the stereotypical perception of a virtual robot" (2022, 6 citations), pioneers the study of mixed-cultural representation in robots—a largely unexplored area despite its growing societal relevance. Haak’s research demonstrates that the way a robot speaks, particularly when blending linguistic cues from multiple cultures, can significantly alter how users stereotype and trust it. This work challenges the traditional monolithic cultural design of SIAs, offering a dual contribution: a comprehensive survey of existing gaps in mixed-cultural agent research and empirical evidence that speech style shapes user perception. By highlighting the risks of reinforcing stereotypes through robotic design, Haak’s findings are critical for developing more inclusive, culturally-aware AI. Her ongoing investigations into multimodal cultural cues promise to reshape how virtual agents are built for diverse, global audiences, making her a vital voice in ethical human-robot interaction.