  Hiring robots for the workplaces is a challenging task as robots have to
cater to customer demands, follow organizational protocols and behave with
social etiquette. In this study, we propose to have a humanoid social robot,
Nadine, as a customer service agent in an open social work environment. The
objective of this study is to analyze the effects of humanoid robots on
customers at work environment, and see if it can handle social scenarios. We
propose to evaluate these objectives through two modes, namely, survey
questionnaire and customer feedback. We also propose a novel approach to
analyze customer feedback data (text) using sentic computing methods.
Specifically, we employ aspect extraction and sentiment analysis to analyze the
data. From our framework, we detect sentiment associated to the aspects that
mainly concerned the customers during their interaction. This allows us to
understand customers expectations and current limitations of robots as
employees.
