Papers
1
Total Citations
3
H-Index
1
About
Joscha Wasser is a researcher specializing in human-machine interaction, autonomous systems, and gaze-based control technologies, with a particular focus on defense and reconnaissance applications. His most-cited work, "Gaze Based Interaction for Object Classification in Reconnaissance Missions Using Highly Automated Platforms" (2021), has garnered 3 citations, demonstrating his early contributions to integrating eye-tracking with autonomous platforms for enhanced situational awareness. Wasser's research bridges cognitive ergonomics and artificial intelligence, exploring how operators can intuitively classify objects in high-stakes environments using gaze as a primary input modality. This work addresses critical challenges in human-autonomy teaming, where rapid, accurate decision-making is paramount. While his citation count is modest, his focus on practical, mission-oriented applications—such as reducing cognitive load for drone operators—positions him as an emerging voice in the field of human-robot interaction. Wasser's contributions are particularly relevant for students and researchers interested in the intersection of computer vision, human factors, and military technology, offering a glimpse into how next-generation interfaces may reshape reconnaissance and surveillance operations.
Research Focus
Key Achievements
Top Papers
- 1