Published on Mon Jun 08 2020

Validating psychometric survey responses

Alberto Mastrotto, Anderson Nelson, Dev Sharma, Ergeta Muca, Kristina Liapchin, Luis Losada, Mayur Bansal, Roman S. Samarev

We present an approach to classify user validity in survey responses by using machine learning techniques. The approach might be used in web-survey applications to detect suspicious users behaviour and request from them proper answering.

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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.