  Computing human mental and wellbeing is crucial to various domains, including
health, education, and entertainment. However, the reliance on self-reporting
in traditional research to establish ground truth often leads to methodological
inconsistencies and susceptibility to response biases, thus hindering the
effectiveness of modelling. This paper presents the first systematic
methodological review of self-reporting practices in Ubicomp within the context
of human mental and wellbeing computing. Drawing from existing survey research,
we establish guidelines for self-reporting in human wellbeing studies and
identify shortcomings in current practices at Ubicomp community. Furthermore,
we explore the reliability of self-report as a means of ground truth and
propose directions for improving ground truth measurement in this field.
Ultimately, we emphasize the urgent need for methodological advancements to
enhance human mental and wellbeing computing.
