This research explores the use of Haru, a tabletop social robot, for fostering positive behavior change through the Tiny Habits method. The study focuses on developing an autonomous dialogue system…
Continue readingThis paper discusses the use of Large Language Models (LLMs) to enhance the conversational abilities of social robots. The authors propose a fully automated conversation system that uses LLMs to…
Continue readingThe paper introduces SInViG, a self-evolving interactive visual agent that aims to improve human-robot interaction. This system is designed to address the issue of language ambiguity through multi-turn visual-language dialogues….
Continue readingThis article studies the effects of varying levels of robot autonomy on a user’s cognitive load and trust in teleoperation settings. The study did not find a clear interaction between…
Continue readingThe study ‘Preference-Conditioned Language-Guided Abstraction’ proposes a new way to improve learning from demonstrations in robots. It addresses the problem of spurious feature correlations that often occur in such learning…
Continue readingThis research focuses on the recognition and expression of emotions by robots, aiming to increase their presence in schools, factories, and homes. The study specifically attempted to replicate gestures associated…
Continue readingThe paper discusses the design, development, and deployment of context-adaptive AI systems to improve end-user adoption. It emphasizes the importance of user-centered approaches in understanding user experiences with AI systems…
Continue readingThe article presents a novel approach for Human-Robot Interaction (HRI), using direct motion-based communication. The communication is enabled through four distinct gestures, two handshakes (formal and informal) and two letters…
Continue readingThe article discusses the potential of Large Language Models (LLMs) in understanding and mimicking human behaviour in a Human-Robot Interaction scenario. It examines whether LLMs can effectively act as a…
Continue readingThe article investigates the potential of Large Language Models (LLMs) to exhibit Theory of Mind (ToM) abilities, particularly in Human-Robot Interaction. ToM involves attributing mental states such as beliefs, intentions,…
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