METHOD AND SYSTEM FOR EFFICIENT USERS' DATA EXTRACTION AND USERS' WELLBEING IMPROVEMENT BASED ON USERS' ELECTRONIC DEVICES INTERACTIONS

摘要

A method and system for efficient repertory grid data extraction and well-being improvement recommendations. This method and system propose a novel way to collect users' data from user application interactions (in electronic devices) that enables to extract repertory grids or personal constructs from one or more users, in such a way that the users do not explicitly has to fill the repertory grid data. This structured way of collecting data allows to extract Individual Personal Constructs in a massively scalable fashion with minimum resources. Additionally, the extracted data may be recurrently input into a novel recommender system or engine which would result in higher engagement efficacy for the user, helping the individual on his/her decision-making process.