Go to content
UR Home

Visual Cultural Biases in Food Classification

URN to cite this document:
DOI to cite this document:
Zhang, Qing ; Elsweiler, David ; Trattner, Christoph
License: Creative Commons Attribution 4.0
PDF - Published Version
Date of publication of this fulltext: 25 Jun 2020 12:33


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 ...


Owner only: item control page
  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de
0941 943 -4239 or -69394

Dissertations: dissertationen@ur.de
0941 943 -3904

Research data: datahub@ur.de
0941 943 -5707

Contact persons