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.

翻译：人类心理与幸福感的计算在健康、教育、娱乐等多个领域至关重要。然而，传统研究中依赖自报告方法构建真值往往导致方法论上的不一致性，并易受回应偏差影响，从而削弱了建模的有效性。本文首次系统性地对普适计算领域内人类心理与幸福感计算中的自报告实践进行了方法论综述。借鉴现有调查研究，我们为人类幸福感研究中的自报告建立了指导原则，并识别了当前普适计算社区实践中的不足。此外，我们探讨了自报告作为真值手段的可靠性，并提出改进该领域真值测量的方向。最终，我们强调亟需方法论上的进步以提升人类心理与幸福感计算的水平。