Laurent Denoue

FX Palo Alto Laboratory

Papers

1

Total Citations

9

H-Index

1

About

Laurent Denoue is a researcher whose work sits at the intersection of human-computer interaction, intelligent interfaces, and multimedia systems. His key research areas include gesture and voice control for smart devices, AI-enhanced video streaming, and novel interaction paradigms for consumer electronics. Denoue is best known for his pioneering studies on how people naturally interact with smart cameras, particularly through a landmark Wizard-of-Oz elicitation study that explored gesture, voice, and AI control in live video streaming contexts. This work, which has garnered 9 citations, laid foundational insights for designing more intuitive remote camera controls in an era of booming video calls and livestreaming. Beyond this, his broader contributions encompass interactive paper and digital ink technologies, as well as systems that bridge physical and digital media. Denoue’s research is characterized by a user-centered approach that anticipates how emerging technologies—from AI to ubiquitous cameras—can be made more responsive and natural for everyday use. His findings continue to inform the development of smarter, more adaptive interfaces in both academic and industry settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Interacting with Smart Consumer Cameras: Exploring Gesture, Voice, and AI Control in Video Streaming
9 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: FX Palo Alto Laboratory

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago