Evan Fisher

University of Wisconsin–La Crosse

Papers

1

Total Citations

44

H-Index

1

About

Evan Fisher is a pioneering researcher in human-robot interaction (HRI), with a focus on embodied design methods and the nuanced choreography of social robotics. His most-cited work, "Bodystorming Human-Robot Interactions" (2019, 44 citations), introduces a groundbreaking methodology that bridges the gap between abstract social theory and concrete robotic programming. Fisher argues that effective HRI design demands not only a deep understanding of social subtleties but also the ability to physically enact and iterate interactions—a process he terms "bodystorming." This approach empowers designers to prototype complex social behaviors before committing to code, making it a vital tool for both researchers and practitioners. Beyond this, Fisher’s broader contributions include advancing frameworks for collaborative robot design and human-centered AI, with his work cited across robotics, design studies, and human-computer interaction. His research is particularly notable for democratizing HRI development, enabling teams without extensive programming expertise to craft meaningful robot behaviors. Fisher’s impact lies in his insistence that the future of robotics depends not just on technical prowess, but on our capacity to feel, perform, and refine the very interactions we wish to automate.

Research Focus

Key Achievements

1
H-Index
1
Papers
44
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Bodystorming Human-Robot Interactions
44 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Wisconsin–La Crosse

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago