  Artificial Intelligence (AI) systems have gained significant traction in the
recent past, creating new challenges in requirements engineering (RE) when
building AI software systems. RE for AI practices have not been studied much
and have scarce empirical studies. Additionally, many AI software solutions
tend to focus on the technical aspects and ignore human-centered values. In
this paper, we report on a case study for eliciting and modeling requirements
using our framework and a supporting tool for human-centred RE for AI systems.
Our case study is a mobile health application for encouraging type-2 diabetic
people to reduce their sedentary behavior. We conducted our study with three
experts from the app team -- a software engineer, a project manager and a data
scientist. We found in our study that most human-centered aspects were not
originally considered when developing the first version of the application. We
also report on other insights and challenges faced in RE for the health
application, e.g., frequently changing requirements.
