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Abstract Visual Programming of Social Robots for Novice Users
Author(s) -
Onis Brown,
Laurence Roberts-Elliott,
Francesco Del Duchetto,
Marc Hanheide,
Paul Baxter
Publication year - 2020
Publication title -
lincoln repository (university of lincoln)
Language(s) - English
Resource type - Conference proceedings
ISBN - 978-1-4503-7057-8
DOI - 10.1145/3371382.3378271
Subject(s) - robot , human–computer interaction , social cue , computer science , task (project management) , perception , social robot , artificial intelligence , mobile robot , psychology , cognitive psychology , robot control , engineering , systems engineering , neuroscience
To facilitate interaction of robots with people in public spaces it would be beneficial for them to use social behaviours: i.e. low-level behaviours that suggest the robot is a social agent. However, the implementation of such social behaviours would be difficult for novice users - i.e. non-roboticists. In this contribution, we present a high-level visual programming system that enables novices to design robot tasks which already incorporate social behavioural cues appropriate for the robot being programmed. A pilot study of this system in a museum involving members of the public designing guided tours demonstrated that the addition of the low-level social cues improve the perception of the robot and the effectiveness of the designed task behaviour. A number of areas of further exploration and development are highlighted.

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