Visual Cultural Biases in Food Classification

Foods

Christoph Trattner¹  David Elsweiler²  Qing Zhang² 

[1] Department of Information Science & Media Studies, University of Bergen, Fosswinckelsgt. 6, 5007 Bergen, Norway;Institute for Language, Literature and Culture, University of Regensburg, Universitätsstrße 31, 93053 Regensburg, Germany;

关键词: visual biases;    food classification;    crowdsourcing;   

DOI  :  10.3390/foods9060823

来源: DOAJ

【 摘 要 】

This article investigates how visual biases influence the choices made by people and machines in the context of online food. To this end the paper investigates three research questions and shows (i) to what extent machines are able to classify images, (ii) how this compares to human performance on the same task and (iii) which factors are involved in the decision making of both humans and machines. The research reveals that algorithms significantly outperform human labellers on this task with a range of biases being present in the decision-making process. The results are important as they have a range of implications for research, such as recommender technology and crowdsourcing, as is discussed in the article.

【 授权许可】

Unknown