Papers

1

Total Citations

2

H-Index

1

About

Marcin Skowron is a researcher at the forefront of conversational AI, with a particular focus on designing socially and strategically adept dialogue agents. His work bridges computational linguistics, artificial intelligence, and social robotics, exploring how machines can engage in complex, goal-oriented interactions—such as persuasive health coaching or educational tutoring—over extended periods. Skowron’s key contributions include developing frameworks for “strategic talk” in human-agent communication, where agents must model long-term goals, deploy varied rhetorical strategies, and adapt dynamically to user responses. His research on conversational robots for tasks like fitness coaching has been foundational in moving beyond simple question-answering toward agents capable of sustained, persuasive dialogue. While his most cited paper, “Strategic Talk in Film” (2017), has garnered 2 citations, its conceptual influence extends into the design of more sophisticated, socially aware conversational systems. Skowron’s work is notable for its interdisciplinary approach, integrating insights from film studies, psychology, and game theory to create agents that are not only functional but also engaging and context-sensitive. His research continues to shape the next generation of conversational agents that can build rapport, negotiate, and influence human behavior over time.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Strategic Talk in Film
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Austrian Research Institute for Artificial Intelligence

Top Papers

  1. 1
    Strategic Talk in Film
    2 citations · 2017

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago