Corpus ID: 235694283

Investigating the Reliability of Self-report Survey in the Wild: The Quest for Ground Truth

@article{Gao2021InvestigatingTR,
  title={Investigating the Reliability of Self-report Survey in the Wild: The Quest for Ground Truth},
  author={Nan Gao and Mohammad Saiedur Rahaman and Wei Shao and Flora D. Salim},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.00389}
}
Inferring human mental state (e.g., emotion, depression, engagement) with sensing technology is one of the most valuable challenges in the affective computing area, which has a profound impact in all industries interacting with humans. The self-report survey is the most common way to quantify how people think, but prone to subjectivity and various responses bias. It is usually used as the ground truth for human mental state prediction. In recent years, many data-driven machine learning models… Expand

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