Daniel Schultheis
Papers
1
Total Citations
6
H-Index
1
About
Daniel Schultheis is a researcher at the intersection of human-robot interaction and social robotics, with a particular focus on how users perceive and form relationships with humanoid robots. His most cited work, "Machine or friend: understanding users' preferences for and expectations of a humanoid robot companion" (2019, 6 citations), explores the blurring boundaries between robots as functional tools and socially aware companions. Schultheis investigates how lifelike androids are reshaping user expectations across entertainment, service, and companion domains. By examining the psychological and social factors that influence whether users view a robot as a machine or a friend, his research provides critical insights for designing robots that align with human needs and emotional responses. Though early in his career, his work contributes to the growing discourse on ethical and user-centered design in robotics, helping to guide the development of robots that are not only capable but also socially acceptable and emotionally resonant.
Research Focus
Key Achievements
Top Papers
- 1