Papers

10

Total Citations

162

H-Index

6

About

Nichola Lubold is a leading researcher in social human-robot interaction, focusing on how voice-adaptive and socially responsive speech interfaces can transform robotic learning companions. Her work centers on the critical role of rapport—the sense of connection and trust between humans and machines—in educational settings. Lubold’s major contributions demonstrate that when a robot adapts its pitch to match a user’s, it significantly enhances rapport, perceived support, and even learning outcomes. Her most-cited paper (55 citations) shows that combining voice-adaptation with social dialogue improves perceptions of a robotic learning companion. In a landmark study (22 citations), she proved that automated pitch convergence directly boosts learning in middle school mathematics. Lubold has also explored how user comfort with robots influences rapport over multiple sessions and developed the ROBIN platform, which uses a programmable robot to provide feedback and encouragement on programming tasks. Her iterative design approach has created efficacy-building social experiences, making her a key figure in the quest to build effective, engaging, and socially intelligent educational robots.

Research Focus

Key Achievements

6
H-Index
10
Papers
162
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Effects of voice-adaptation and social dialogue on perceptions of a robotic learning companion
55 citations · 2016
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Arizona State University, Decision Systems (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago