Papers
10
Total Citations
197
H-Index
7
About
Nick Campbell is a researcher whose work sits at the intersection of human-robot interaction, multimodal communication, and speech technology. His scholarship has made meaningful contributions to understanding how humans naturally communicate with machines, with a particular emphasis on non-verbal cues, laughter, and spontaneous conversational behavior. His 2012 investigation into non-verbal cues during human-robot interaction, his most-cited work with 57 citations, helped establish new methodologies for capturing the complexity of embodied communication using platforms like the NAO robot. Campbell's sustained interest in multimodal data collection is evident across his career, from his early work on laughter detection in natural discourse (2009) to his contributions to the Joker project exploring humorous human-robot exchanges (2015, 36 citations). A particularly notable achievement is the development of Herme, an interactive conversational robot deployed at Trinity College Dublin's Science Gallery, where it engaged nearly 500 visitors and generated a rich corpus of spontaneous dialogue. Campbell's research consistently prioritizes authentic human communication contexts, pushing the field toward more naturalistic and socially intelligent robot systems, making his work essential reading for those studying conversational AI and social robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Multimodal Laughter Detection in Natural Discourses31 citations · 2009
- 4Multimodal Processing of Discourse Information; The Effect of Synchrony26 citations · 2008
- 5
- 6Engagement in Dialogue with Social Robots9 citations · 2016
- 7
- 8Collecting multi-modal data of human-robot interaction7 citations · 2011
- 9Herme, Yet Another Interactive Conversational Robot6 citations · 2013
- 10More Than Just Words: Building a Chatty Robot4 citations · 2013