  Studying Human-Robot Interaction over time can provide insights into what
really happens when a robot becomes part of people's everyday lives. "In the
Wild" studies inform the design of social robots, such as for the service
industry, to enable them to remain engaging and useful beyond the novelty
effect and initial adoption. This paper presents an "In the Wild" experiment
where we explored the evolution of interaction between users and a
Robo-Barista. We show that perceived trust and prior attitudes are both
important factors associated with the usefulness, adaptability and likeability
of the Robo-Barista. A combination of interaction features and user attributes
are used to predict user satisfaction. Qualitative insights illuminated users'
Robo-Barista experience and contribute to a number of lessons learned for
future long-term studies.
