Daniel Johnson

Papers

Total Citations

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About

Daniel Johnson is a researcher whose work sits at the intersection of human-robot interaction, gamification, and user engagement. His most notable contribution, "Social Robots with Gamification Principles to Increase Long-Term User Interaction" (2019), addresses one of the field's most pressing challenges: sustaining meaningful engagement with social robots beyond the initial novelty phase. By integrating gamification principles into robot interaction design, Johnson has pioneered approaches that help users maintain motivation and connection with robotic systems over extended periods — a critical consideration for applications in healthcare, education, and personal assistance. His research recognizes that the true value of social robots emerges through sustained, longitudinal interaction, and he has worked to develop frameworks that make this achievable in practice. With 18 citations, his work has begun attracting attention from researchers and designers grappling with similar engagement challenges across human-computer interaction and robotics communities. Johnson's scholarship reflects a thoughtful synthesis of behavioral psychology, game design theory, and robotics, positioning him as an emerging voice in designing social technologies that remain compelling, purposeful, and genuinely useful to individuals over time.