Daniel S. McConnell
Papers
3
Total Citations
15
H-Index
2
About
Daniel S. McConnell is a researcher at the forefront of human-robot interaction (HRI), with a focused interest in the psychological and social dynamics that shape how people perceive and engage with social robots. His work bridges social psychology and robotics, investigating how user traits—such as personality and loneliness—interact with robot design to influence key relational outcomes like social presence, parasocial friendship, and long-term adoption. McConnell’s most-cited paper (2024, 12 citations) examines the link between embodiment perceptions and perceived social presence, a foundational contribution to understanding how a robot’s physical form affects users’ sense of connection. His 2022 study on user and robot personality interactions (2 citations) explores how personality congruence drives parasocial bonds and continued use, while his work on trait loneliness (1 citation) challenges assumptions about robots as simple loneliness remedies, revealing that lonely individuals may perceive less social presence. Though early in his citation trajectory, McConnell’s research is gaining traction for its nuanced, human-centered approach—offering critical insights for designing socially intelligent robots that truly resonate with diverse users.
Research Focus
Key Achievements
Top Papers
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