Robust Real-Time Face Detection
International Journal of Computer Vision
Towards developing general models of usability with PARADISE
Natural Language Engineering
interactions - Robots!
Footing in human-robot conversations: how robots might shape participant roles using gaze cues
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
STRIPS: a new approach to the application of theorem proving to problem solving
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
Dialog in the open world: platform and applications
Proceedings of the 2009 international conference on Multimodal interfaces
Visual tracking of independently moving body and arms
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Towards safe human-robot interaction
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Two people walk into a bar: dynamic multi-party social interaction with a robot agent
Proceedings of the 14th ACM international conference on Multimodal interaction
How do you like me in this: user embodiment preferences for companion agents
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
ICSR'12 Proceedings of the 4th international conference on Social Robotics
How can i help you': comparing engagement classification strategies for a robot bartender
Proceedings of the 15th ACM on International conference on multimodal interaction
How can i help you': comparing engagement classification strategies for a robot bartender
Proceedings of the 15th ACM on International conference on multimodal interaction
Ghost-in-the-machine: initial results
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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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 socially 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 behaviour 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 influence 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.