Fan Mo

Chongqing University

Papers

1

Total Citations

6

H-Index

1

About

Fan Mo is a researcher whose work sits at the intersection of human-computer interaction, family dynamics, and social robotics. Mo's most notable contribution explores how social robots can serve as meaningful intermediaries to bridge communication gaps between different generations within families. This 2017 study investigates the nuanced roles that family orientation and generational differences play in shaping how people engage with and through social robots, offering practical insights for designers and technologists seeking to make robotic systems more socially relevant and inclusive. With 6 citations, Mo's work has begun to carve out a niche in the growing field of social robotics, particularly in contexts that extend beyond individual human-robot interaction to encompass broader relational and familial networks. By centering intergenerational communication as a lens through which to evaluate robotic systems, Mo highlights an often-overlooked dimension of technology adoption — the social and cultural fabric that determines whether a technology truly enhances human connection. This perspective is especially timely as aging populations and geographically dispersed families increasingly look to technology to maintain meaningful bonds across generational divides.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
How to Enhance Intergenerational Communication? The Influence of Family Orientation and Generation When Using Social Robots as an Intermediary
6 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Chongqing University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago