Thomas Illa

Technical University of Munich

Papers

1

Total Citations

2

H-Index

1

About

Thomas Illa is a researcher in human-robot interaction, with a particular focus on the perceptual and cognitive effects of robot design on human collaborators. His work examines how subtle visual features—such as the contrast of a robot’s arm—can influence distraction and attention during joint tasks. In his most cited study, “Black or White? Influence of Robot Arm Contrast on Distraction in Human-Robot Interaction” (2015), Illa demonstrated that high-contrast robot limbs significantly increase visual distraction, impairing human performance in cooperative settings. This finding has implications for designing robots that minimize cognitive load and enhance safety in shared workspaces. Though his citation count remains modest, Illa’s research contributes to the growing field of socially aware robotics, where form and function must align to support seamless human-robot collaboration. His work is especially relevant for engineers and interaction designers aiming to create robots that are both effective and unobtrusive.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Black or White? Influence of Robot Arm Contrast on Distraction in Human-Robot Interaction
2 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago