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Talk to your Cobot: faster and more efficient error-handling in a robotic system with a multi-modal Conversational Agent

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dc.contributor.authorSchwarz, David
dc.contributor.authorZarcone, Alessandra
dc.contributor.authorLaquai, Florian
dc.date.accessioned2024-10-08T15:13:01Z
dc.date.available2024-10-08T15:13:01Z
dc.date.issued2024
dc.description.abstractCollaborative robot (cobot) systems are expected to be easy to operate. However, reacting to an error message may not be as intuitive as operating the cobot. This paper explores the integration of a multi-modal conversational agent (text, touch and voice) into a robotic system to improve the robot-user interaction during error handling. The conversational agent enables text- and voice-based interactions to improve user experience and efficiency. We evaluate a prototype in a user test with experts and novices in order to assess its effectiveness, usability, and impact on user-robot interaction and show that conversational agents can enhance collaboration between robots and users, particularly benefiting novices.en
dc.identifier.doi10.1145/3670653.3677484
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44871
dc.language.isoen
dc.pubPlaceNew York, NY, USA
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of Mensch und Computer 2024
dc.subjectAI
dc.subjectcobots
dc.subjectcollaborative robots
dc.subjectconversational AI
dc.subjectconversational agent
dc.subjectdialogue management
dc.subjecterror handling
dc.subjecthuman-robot interaction
dc.subjectmulti-modal interaction
dc.subjectrobotics
dc.titleTalk to your Cobot: faster and more efficient error-handling in a robotic system with a multi-modal Conversational Agenten
dc.typeText/Conference Paper
gi.citation.startPage520–532
gi.conference.locationKarlsruhe, Germany

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Tagungsband MuC 2024