Dominik Schiller
Papers
1
Total Citations
10
H-Index
1
About
Dominik Schiller is a researcher specializing in computational social signal processing and human-computer interaction, with a particular focus on modeling social attitudes in conversational systems. His most-cited work, "Modeling User’s Social Attitude in a Conversational System" (2016), has garnered 10 citations and lays foundational groundwork for understanding how machines can interpret and adapt to users' social cues—such as politeness, dominance, or friendliness—during dialogue. This contribution is pivotal for developing more natural, empathetic AI interfaces that respond appropriately to human social dynamics. Schiller’s research bridges affective computing and dialogue systems, aiming to enhance user experience by making conversational agents socially aware. His work has implications for virtual assistants, therapy bots, and educational tools, where recognizing and mirroring social attitudes can improve engagement and trust. By integrating behavioral signals into system design, Schiller helps advance the frontier of socially intelligent machines, offering practical pathways for creating more human-like interactions in technology.
Research Focus
Key Achievements
Top Papers
- 1Modeling User’s Social Attitude in a Conversational System10 citations · 2016