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              <p>It has been shown that indecisiveness is involved in manyunwanted cognitive states, such as procrastination, distractibility,the lack of self-esteem, or even revenge. The purpose of this workis to propose a predictive model for the recognition of theindecisiveness class, from the analysis of the customer’strajectory and his gripping. The movements are captured thanksto infra-red sensors. A structural behavioral architecture is built,based on eye-tracking methodology. Indeed, all the movements ofa customer in a selling area can be assimilated to fixations andsaccades. We show that the path in the selling area can be seen asa sequence of states. The final predictive classifier is built with acombination of Hidden Markov Models (HMM) through alogistic regression model (LRM) and leads to satisfying results, asit correctly predicts 88 % of the subjects’ indecisiveness classes.</p>
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