Dylan Lettinga
Papers
1
Total Citations
12
H-Index
1
About
Dylan Lettinga’s research lies at the intersection of human-robot interaction and social robotics, with a focus on understanding what makes robotic companions truly accepted and integrated into personal environments. His most cited work, “Both ‘look and feel’ matter: Essential factors for robotic companionship” (2017, 12 citations), makes a foundational contribution by arguing that physical embodiment is not enough—robots must also convey a sense of social presence and emotional resonance to be embraced as companions. Lettinga’s research identifies and prioritizes the essential design factors—such as appearance, tactile interaction, and behavioral cues—that bridge the gap between functional tools and trusted social agents. By emphasizing that both visual and tactile qualities matter equally, his work has influenced subsequent studies on companion robot design and user acceptance. Though early in his career, Lettinga’s insights are already shaping how researchers think about the subtle, human-centered requirements for robots that share our living spaces. His work is a vital read for anyone designing robots meant not just to assist, but to connect.
Research Focus
Key Achievements
Top Papers
- 1Both “look and feel” matter: Essential factors for robotic companionship12 citations · 2017