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Validating psychometric survey responses
June 08, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Alberto Mastrotto, Anderson Nelson, Dev Sharma, Ergeta Muca, Kristina Liapchin, Luis Losada, Mayur Bansal, Roman S. Samarev
arXiv ID
2006.14054
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.LG,
stat.ML
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We present an approach to classify user validity in survey responses by using a machine learning techniques. The approach is based on collecting user mouse activity on web-surveys and fast predicting validity of the survey in general without analysis of specific answers. Rule based approach, LSTM and HMM models are considered. The approach might be used in web-survey applications to detect suspicious users behaviour and request from them proper answering instead of false data recording.
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