Papers

2

Total Citations

54

H-Index

2

About

Dan Lockton is a leading researcher at the intersection of design, behavior, and technology, with key contributions in human-robot interaction, speculative design, and the psychology of everyday systems. His most-cited work, "Collection of Metaphors for Human-Robot Interaction" (2021, 49 citations), challenges conventional assumptions about robotic perfection by arguing that designers should embrace imperfection and failure as opportunities for more authentic, relatable interactions. This paper has shaped how researchers think about designing robots that are not just efficient tools but socially engaging companions. Lockton’s innovative project "Emoto" (2019) further explores this territory by introducing a robotic charging stand that acts as an emotive "body" for a smartphone’s AI, creating novel physical interactions that communicate emotion and presence. Beyond these works, Lockton is known for his influential research on design for behavior change, mental models, and the use of metaphors to bridge human understanding and technology. His interdisciplinary approach—spanning design, engineering, and social science—has made him a sought-after voice in human-computer interaction, and his work continues to inspire students and researchers to rethink the relationship between people and the intelligent systems they create.

Research Focus

Key Achievements

2
H-Index
2
Papers
54
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Collection of Metaphors for Human-Robot Interaction
49 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Eindhoven University of Technology, Carnegie Mellon University

Top Papers

  1. 1
  2. 2
    Emoto
    5 citations · 2019

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago