Characterization of the indecisiveness class of the customer through a hierarchical representation of his path in the selling area

Résumé : It has been shown that indecisiveness is involved in many unwanted cognitive states, such as procrastination, distractibility, the lack of self-esteem, or even revenge. The purpose of this work is to propose a predictive model for the recognition of the indecisiveness class, from the analysis of the customer’s trajectory and his gripping. The movements are captured thanks to infra-red sensors. A structural behavioral architecture is built, based on eye-tracking methodology. Indeed, all the movements of a customer in a selling area can be assimilated to fixations and saccades. We show that the path in the selling area can be seen as a sequence of states. The final predictive classifier is built with a combination of Hidden Markov Models (HMM) through a logistic regression model (LRM) and leads to satisfying results, as it correctly predicts 88 % of the subjects’ indecisiveness classes.
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https://hal-amu.archives-ouvertes.fr/hal-01488246
Contributor : William Domingues Vinhas <>
Submitted on : Monday, March 13, 2017 - 2:44:00 PM
Last modification on : Monday, October 28, 2019 - 11:34:09 AM

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  • HAL Id : hal-01488246, version 1

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Yannick Lufimpu-Luviya, Djamal Merad, Frédéric Davesne, Fakhreddine Ababsa, Bernard Fertil. Characterization of the indecisiveness class of the customer through a hierarchical representation of his path in the selling area. 28th International Congress of Applied Psychology (ICAP 2014), Jul 2014, Paris, France. ⟨hal-01488246⟩

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