David Obremski
Papers
3
Total Citations
23
H-Index
3
About
David Obremski is a researcher at the intersection of social robotics, human-AI interaction, and sociolinguistics, whose work explores how subtle design features—such as language variation and social cues—shape user perceptions and collaboration with intelligent agents. His most-cited paper (14 citations) investigates the effects of a robot speaking in regional language variations versus standard High German, revealing that non-standard speech can significantly influence users’ evaluations and social responses. In a second influential study (6 citations), Obremski examines how mixed-cultural speech patterns affect the stereotypical perception of virtual robots, addressing the underrepresented role of multicultural backgrounds in socially interactive agents. Most recently (2024), he has explored gender differences and social design in human-AI collaboration under varying task loads, demonstrating how these factors impact human-like attributions, social impact, and perceived workload. Obremski’s work bridges media psychology, sociolinguistics, and human-robot interaction, offering critical insights for designing more inclusive and socially attuned AI systems. His research is particularly valuable for students and practitioners interested in the nuanced ways that language, culture, and gender shape human-technology relationships.
Research Focus
Key Achievements
Top Papers
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