Comparing task-based and socially intelligent behaviour in a robot bartender (2013)
| Venue: | In Proceedings of the 15th International Conference on Multimodal Interfaces (ICMI 2013 |
| Citations: | 7 - 7 self |
BibTeX
@INPROCEEDINGS{Giuliani13comparingtask-based,
author = {Manuel Giuliani and Ronald P. A and Petrick Mary and Ellen Foster and Andre Gaschler and Amy Isard and Maria Pateraki and Markos Sigalas},
title = {Comparing task-based and socially intelligent behaviour in a robot bartender},
booktitle = {In Proceedings of the 15th International Conference on Multimodal Interfaces (ICMI 2013},
year = {2013}
}
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Abstract
We address the question of whether service robots that interact with humans in public spaces must express socially appropriate behaviour. To do so, we implemented a robot bartender which is able to take drink orders from humans and serve drinks to them. By using a high-level automated planner, we explore two different robot interaction styles: in the task only setting, the robot simply fulfils its goal of asking customers for drink orders and serving them drinks; in the socially intelligent setting, the robot additionally acts in a manner so-cially appropriate to the bartender scenario, based on the behaviour of humans observed in natural bar interactions. The results of a user study show that the interactions with the socially intelligent robot were somewhat more efficient, but the two implemented be-haviour settings had only a small influence on the subjective ratings. However, there were objective factors that influenced participant ratings: the overall duration of the interaction had a positive influ-ence on the ratings, while the number of system order requests had a negative influence. We also found a cultural difference: German participants gave the system higher pre-test ratings than participants who interacted in English, although the post-test scores were similar.
Keyphrases
robot bartender intelligent behaviour drink order participant rating german participant be-haviour setting small influence service robot appropriate behaviour overall duration bartender scenario pre-test rating public space different robot interaction style post-test score system order request intelligent robot high-level automated planner cultural difference negative influence natural bar interaction intelligent setting user study show positive influ-ence subjective rating objective factor
