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Communication Dans Un Congrès Année : 2021

Assessing Trends on Consumption of Animal Products Through a Machine Learning Analysis of Consumer Motivations

Résumé

Consumer demand is constantly evolving, and in recent years plant-based diets are becoming more appealing to the general public. However, consumers' preferences evolve at different speeds, integrating environmental concerns, health considerations, and ethical issues. It is therefore important to be able to identify and separate trends in demand among the general public. From the data collected through a survey of 1,715 respondents in France, concerning priorities, preferences, and drivers of change in food choice, we performed an in-depth analysis through machine learning techniques such as clustering and classification. While 40% of the interviewed reported that their current diet is different from their ideal, and 98% of them wished to reduce their consumption of animal products, our analysis revealed several salient variables that characterize different classes of individuals. For example, the willingness to change the diet is stronger for the younger population, while the main obstacles against adopting a plant-based diet are food pleasure, health concerns, and to a lesser extent social resistance and animal ethics. From the analysis, it seems that environmental concerns are the main motivation especially for people that reduce their consumption of animal products in a less radical way
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Dates et versions

hal-03834642 , version 1 (30-10-2022)

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  • HAL Id : hal-03834642 , version 1

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Rallou Thomopoulos, Nicolas Salliou, Patrick Taillandier, Alberto Tonda. Assessing Trends on Consumption of Animal Products Through a Machine Learning Analysis of Consumer Motivations. Online Workshop on Computational Approaches in Eating Behavior Research, Jan 2021, Online, France. ⟨hal-03834642⟩
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