Kenyon Riddle
Papers
2
Total Citations
13
H-Index
2
About
Kenyon Riddle explores the evolving dynamics of human-AI collaboration, focusing on how we conceptualize and design cooperative relationships with intelligent systems. His most cited work, "Beyond the tool vs. teammate debate: Exploring the sidekick metaphor in human-AI dyads" (2023, 7 citations), challenges conventional frameworks by proposing the "sidekick" metaphor as a more nuanced alternative to viewing AI as either a mere tool or a full teammate. This contribution reframes human-AI interaction, emphasizing complementary roles and shared agency rather than strict hierarchy or equality. Riddle also investigates tangible interfaces for human-robot collaboration, as demonstrated in "An Intuitive Wearable Concept for Robotic Control" (2017, 6 citations), which advances practical methods for seamless control in physical tasks. His work bridges theoretical metaphor analysis with applied design, offering fresh perspectives for researchers and practitioners in human-computer interaction, robotics, and AI ethics. By questioning dominant paradigms, Riddle’s research encourages more thoughtful, context-aware approaches to building cooperative AI systems that augment human capabilities without erasing human agency.
Research Focus
Key Achievements
Top Papers
- 1
- 2An Intuitive Wearable Concept for Robotic Control6 citations · 2017