In conversational Human-Robot Interaction, robots typically remain silent during user speech and reply only after a pause, making interaction feel unnatural. In contrast, humans signal that they listen through active behavior. To overcome this, we present a system in which a social robot conveys active listening throug...
Yang Sun, Jan Leusmann, Michael A. Hedderich· Message Understanding Confer...· 0 citations
This work presents AIKitchen, an open-source framework for prototyping user experiences in agentic, context-driven environments, which allows designers to rapidly create, evaluate, and iterate complex interaction scenarios in smart environments.
Carl Oechsner, Jan Leusmann, Xue-Dong Zhang et al.· Message Understanding Confer...· 0 citations
Smart environments allow for rich, context-specific interactions. Additionally, the introduction of agentic AI gives UX designers new ways to create flexible, human-centered interactions. However, given the complexity of these environments, building them remains challenging. Classical methods for mitigating the complex...
Carl Oechsner, Jan Leusmann, Xue-Dong Zhang et al.· Message Understanding Confer...· 0 citations
A ready-to-deploy intent-aware system in which a social robot conveys active listening through non-verbal backchannels grounded in interactional intents to enable active listening for robots.
Yang Sun, Jan Leusmann, Michael A. Hedderich· Message Understanding Confer...· 0 citations
This provocation argues that current uses of the term proactivity in the context of conversational AI are overly broad and conceptually imprecise, which limits the ability to design, compare, and evaluate proactive conversational agents.
Matthias Kraus, Sebastian Zepf, Jan Leusmann et al.· International Conference on...· 0 citations
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