Abstract visual programming of social robots for novice users. Brown, O., Roberts-Elliott, L., Del Duchetto, F., Hanheide, M., & Baxter, P. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, pages 154–156, 2020.
Abstract visual programming of social robots for novice users [link]Paper  doi  abstract   bibtex   
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.
@inproceedings{brown2020abstract,
      title={Abstract visual programming of social robots for novice users},
      author={Brown, Onis and Roberts-Elliott, Laurence and Del Duchetto, Francesco and Hanheide, Marc and Baxter, Paul},
      booktitle={Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction},
      pages={154--156},
      year={2020},
      url={https://dl.acm.org/doi/abs/10.1145/3371382.3378271},
      doi={10.1145/3371382.3378271},
      abstract={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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