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About

Patrik Jonell is a leading researcher at the intersection of social robotics, multimodal interaction, and machine learning, with a focus on creating artificial agents that can engage in natural, human-like communication. His most impactful work, "Towards an Engagement-Aware Attentive Artificial Listener for Multi-Party Interactions" (2021, 20 citations), pioneers systems that enable robots to actively listen and signal attentiveness in group settings—a foundational challenge for human-robot collaboration. Jonell’s contributions extend to learning non-verbal behavior from real-world data, as demonstrated in his study "Learning Non-verbal Behavior for a Social Robot from YouTube Videos" (2019, 7 citations), where he models gestures and expressions to enhance robot social influence. He also developed FARMI (2018, 6 citations), an open-source framework for recording multimodal interactions, and the Crowdsourced Multimodal Corpora Collection Tool (2018, 4 citations), enabling rapid, scalable data acquisition. Notably, his work on the EACare project (2017, 5 citations) applies social robotics to detect early signs of dementia, showcasing the societal impact of his research. Through these innovations, Jonell has advanced the design of socially aware robots that can listen, adapt, and influence, making him a key figure in building machines that understand and respond to human social cues.