Martin Johansson
Papers
12
Total Citations
203
H-Index
7
About
Martin Johansson is a human-robot interaction researcher whose work centers on multi-party dialogue systems, turn-taking behavior, and socially intelligent robots. His most influential contribution, "Exploring Turn-taking Cues in Multi-party Human-Robot Discussions about Objects" (2015, 75 citations), established foundational insights into how robots can naturally participate in collaborative group conversations, using the Furhat robot head in a real-world museum setting to study triadic human-robot interaction. This work spawned a productive research thread examining how robots detect and respond to conversational opportunities, culminating in data-driven models for turn-taking decisions that have shaped the field's understanding of robot social behavior. Johansson's broader portfolio demonstrates a consistent focus on grounding robots in authentic, situated contexts — from urban navigation dialogues and memory training applications to collaborative tutoring systems. His comparative studies of human-human versus human-robot turn-taking have helped quantify the gap between natural and robotic conversational behavior, providing benchmarks that continue to guide system designers. With over 175 cumulative citations, his research has meaningfully advanced the development of robots capable of participating in the nuanced, multimodal exchanges that characterize real human communication, making him a notable contributor to socially aware robotics and spoken dialogue research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Head Pose Patterns in Multiparty Human-Robot Team-Building Interactions31 citations · 2013
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- 6Understanding route directions in human-robot dialogue9 citations · 2011
- 7Tutoring Robots8 citations · 2014
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- 9Modelling situated human-robot interaction using IrisTK6 citations · 2015
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