Martin Tomitsch

The University of Sydney, University of Technology Sydney

Papers

16

Total Citations

196

H-Index

9

About

Martin Tomitsch is a human-computer interaction (HCI) researcher whose work spans urban computing, autonomous systems, and human-robot interaction. He is particularly recognized for his investigations into how information is displayed in public spaces and how autonomous agents — including self-driving vehicles and delivery robots — can communicate meaningfully with people in urban environments. Tomitsch's most influential contribution, "Stop and Smell the Chalk Flowers" (2020, 36 citations), examined non-digital, transient approaches to public information display, highlighting creative alternatives to conventional digital signage. His research has since gravitated toward the pressing question of how autonomous vehicles and robots can express intent and emotion to pedestrians, exploring modalities such as expressive robotic eyes and augmented reality interfaces. Papers like "How Can Autonomous Vehicles Convey Emotions to Pedestrians?" (25 citations) and "My Eyes Speak" (16 citations) reflect his commitment to making autonomous systems socially legible and safe. More recently, Tomitsch has pioneered the concept of help-seeking robots — urban machines that solicit bystander assistance when they exceed their operational limits — a novel direction attracting growing scholarly attention. With over 170 cumulative citations across his top works, his research sits at a productive intersection of design, technology, and urban life, offering frameworks that are both theoretically rich and practically grounded.

Research Focus

Key Achievements

9
H-Index
16
Papers
196
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Stop and Smell the Chalk Flowers
36 citations · 2020
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: The University of Sydney, University of Technology Sydney

Top Papers

  1. 1
  2. 2
  3. 3
    Your Way Or My Way
    23 citations · 2023
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago