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International Journal of Social Robotics
Erschienen in: International Journal of Social Robotics 4/2015

01.08.2015

Evaluating the Engagement with Social Robots

verfasst von: Salvatore M. Anzalone, Sofiane Boucenna, Serena Ivaldi, Mohamed Chetouani

Erschienen in: International Journal of Social Robotics | Ausgabe 4/2015

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Abstract

To interact and cooperate with humans in their daily-life activities, robots should exhibit human-like “intelligence”. This skill will substantially emerge from the interconnection of all the algorithms used to ensure cognitive and interaction capabilities. While new robotics technologies allow us to extend such abilities, their evaluation for social interaction is still challenging. The quality of a human–robot interaction can not be reduced to the evaluation of the employed algorithms: we should integrate the engagement information that naturally arises during interaction in response to the robot’s behaviors. In this paper we want to show a practical approach to evaluate the engagement aroused during interactions between humans and social robots. We will introduce a set of metrics useful in direct, face to face scenarios, based on the behaviors analysis of the human partners. We will show how such metrics are useful to assess how the robot is perceived by humans and how this perception changes according to the behaviors shown by the social robot. We discuss experimental results obtained in two human-interaction studies, with the robots Nao and iCub respectively.
Vorheriger Artikel Inference of Human Beings’ Emotional States from Speech in Human–Robot Interactions
Nächster Artikel Combining Robotic Persuasive Strategies: The Persuasive Power of a Storytelling Robot that Uses Gazing and Gestures

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Metadaten
Titel
Evaluating the Engagement with Social Robots
verfasst von
Salvatore M. Anzalone
Sofiane Boucenna
Serena Ivaldi
Mohamed Chetouani
Publikationsdatum
01.08.2015
Verlag
Springer Netherlands
Erschienen in
International Journal of Social Robotics / Ausgabe 4/2015
Print ISSN: 1875-4791
Elektronische ISSN: 1875-4805
DOI
https://doi.org/10.1007/s12369-015-0298-7

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