Markus Guhe
Papers
1
Total Citations
91
H-Index
1
About
Markus Guhe is a cognitive scientist and computational linguist whose research bridges natural-language generation, human-robot interaction, and multimodal communication. His most influential work, "The roles of haptic-ostensive referring expressions in cooperative, task-based human-robot dialogue" (2008, 91 citations), fundamentally advanced how robots generate and interpret referring expressions in collaborative settings. Guhe demonstrated that haptic-ostensive cues—such as pointing, touching, or manipulating objects—are not merely supplementary but essential for effective human-robot dialogue, particularly in task-oriented contexts. This contribution challenged prevailing assumptions in the natural-language generation community, which had largely focused on unimodal verbal references. By integrating multimodal referring expressions into robotic systems, Guhe's research laid critical groundwork for more intuitive and cooperative human-robot interactions. His work has been widely cited in both cognitive science and robotics, influencing subsequent studies on situated dialogue and embodied communication. Guhe's achievements include advancing the theoretical understanding of how language and physical actions combine in real-world tasks, making him a key figure in the development of more natural and efficient human-robot collaboration systems.
Research Focus
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Top Papers
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