Papers
2
Total Citations
10
H-Index
2
About
Peter Poller’s research lies at the intersection of human-robot interaction (HRI), multimodal dialogue systems, and gaze-based communication. His major contribution is the development and evaluation of a gaze-supported multimodal dialogue system that integrates speech and eye-tracking to improve spatial grounding in human-robot collaboration. By comparing remote and head-worn eye trackers, Poller demonstrated how gaze can serve as a dominant modality for conveying spatial information, enabling robots to better understand user intent during collaborative tasks. His most-cited works, including the 2017 paper “Evaluating Remote and Head-worn Eye Trackers in Multi-modal Speech-based HRI” and its accompanying demo, have each garnered 5 citations, laying foundational groundwork for more intuitive, hands-free robot control. Poller’s prototype enhances two core collaborative tasks—object referencing and joint action planning—showcasing how multimodal interfaces can make HRI more natural and efficient. His work is particularly notable for its practical, demo-driven approach, bridging experimental evaluation with real-world applicability. For students and researchers exploring gaze-based interfaces or speech-driven robotics, Poller’s studies offer a clear, early example of how integrating eye-tracking with dialogue systems can advance the field toward more seamless human-robot teamwork.
Research Focus
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Top Papers
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