Kenneth Funes Mora
Papers
1
Total Citations
20
H-Index
1
About
Kenneth Funes Mora is a researcher at the forefront of socially intelligent human-robot interaction, with a primary focus on developing artificial systems that can understand and respond to human communication in multi-party settings. His work centers on engagement-aware attentive listening, a critical yet often overlooked component of natural interaction. In his most-cited paper, "Towards an Engagement-Aware Attentive Artificial Listener for Multi-Party Interactions" (2021, 20 citations), Mora addresses the challenge of designing robots that can actively listen and signal attentiveness, much like humans do in group conversations. This contribution is foundational for creating more natural and effective collaborative robots, as it moves beyond simple turn-taking to model the nuanced behaviors of an engaged listener. By tackling the complexities of multi-party dynamics, Mora’s research has direct implications for applications in education, healthcare, and workplace collaboration, where robots must navigate social cues and maintain group cohesion. His work represents a significant step toward machines that not only speak but truly listen, enhancing the quality of human-machine interaction.
Research Focus
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Top Papers
- 1