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Gewählte Publikation:

Gere, A; Danner, L; de Antoni, N; Kovacs, S; Durrschmid, K; Sipos, L.
(2016): Visual attention accompanying food decision process: An alternative approach to choose the best models
FOOD QUAL PREFER. 2016; 51: 1-7. FullText FullText_BOKU

Visual attention plays an active role in food choice. During eye-tracking, several gazing behavior parameters are measured along with the consumerxxxs choice. In this study, a Tobii T60 eye-tracker was used to record the gazing behavior of 59 participants during multi-alternative choice tasks (4AFC) in which pictures of six different food product groups (apples, salads, instant soups, sausages, soft drinks and beers) were presented. The aims of this study were (1) to investigate the relationship between gazing parameters and choice (2) to create prediction models based on gazing data and (3) identify the best model. The applied thirteen statistical models showed strong relationships between gazing behavior and choice and gave accurate predictions for choice. Sum of ranking differences method was used to rank the prediction_ models based on ten performance indicators. Iterative Dichotomiser 3 algorithm, Quinlanxxxs C4.5 decision tree algorithm and k-Nearest Neighborxxxs algorithm showed the best performances in the cases of the separate product groups. After merging the data sets, Iterative Dichotomiser 3 algorithm showed clearly the best performance to describe the relationship between visual attention and food choice. (C) 2016 Elsevier Ltd. All rights reserved.
Autor*innen der BOKU Wien:
Danner Lukas
Dürrschmid Klaus

Find related publications in this database (Keywords)
Gazing behavior and choice
Eye-tracking of food products
Comparison of prediction models
Model ranking
Sum of ranking differences

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