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.

Why is it that some people crave several cups of coffee a day while others stop at only one or two? A growing body of evidence suggests that the amount of coffee we consume is determined by our genetic makeup rather than the amount of sleep we got the night before. Coffee is one of the most popular beverages worldwide, second only to tea and water, researchers say. And drinking hefty amounts of coffee has been associated with several health benefits. Recent reports have linked coffee consumption with improvements in short-term memory, as well as a reduced risk of developing multiple sclerosis, melanoma, Type 2 diabetes and liver cancer.