Marc-Leon Reinecker
Papers
1
Total Citations
4
H-Index
1
About
Marc-Leon Reinecker is a researcher at the intersection of human-robot interaction, social signal processing, and explainable artificial intelligence (XAI). His work focuses on demystifying the subtle, non-verbal cues that drive subliminal persuasion in human communication, with a particular emphasis on how these insights can be applied to develop more effective and transparent persuasive robots. In his most-cited paper, "Towards Demystifying Subliminal Persuasiveness: Using XAI-Techniques to Highlight Persuasive Markers of Public Speeches" (2020, 4 citations), Reinecker leverages XAI techniques to reveal the often-unconscious persuasive markers present in public speeches. This work addresses a critical gap: while people use non-verbal cues subconsciously, they are rarely aware of their impact. By making these markers visible, Reinecker not only advances our understanding of social dynamics but also provides a framework for designing robots that can ethically and transparently influence human behavior. His contributions are foundational for creating AI systems that are both persuasive and accountable, bridging the gap between human subtlety and machine learning.
Research Focus
Key Achievements
Top Papers
- 1