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.
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出版者
Oxford, UK : Blackwell Publishing Ltd
其它主题
Electronic discussion groups; Visual perception; Digital images; Appearance (quality); Consumer behavior; Image interpretation; Bias
语言
英语
注释
Golden set
类型
Journal Article; Text
2024-02-28
2026-02-03
MODS