This article introduces the concept of image "culturization", i.e., defined as the process of altering the "brushstroke of cultural features" that make objects perceived as belonging to a given culture while preserving their functionalities. First, we propose a pipeline for translating objects' images from a source to a target cultural domain based on Generative Adversarial Networks (GAN). Then, we gather data through an online questionnaire to test four hypotheses concerning the preferences of Italian participants towards objects and environments belonging to different cultures. As expected, results depend on individual tastes and preference: however, they are in line with our conjecture that some people, during the interaction with a robot or another intelligent system, might prefer to be shown images whose cultural domain has been modified to match their cultural background.
翻译:本文引入了图像“文化化”的概念,即被定义为改变“文化特征的刷新”的过程,使物体在保存其功能的同时被视为属于特定文化。首先,我们提议建立一个管道,将物体的图像从源头转化为目标文化领域,其基础是基因反向网络(GAN)。然后,我们通过在线问卷收集数据,以测试意大利参与者对属于不同文化的物体和环境的偏好。正如预期的那样,结果取决于个人的品味和偏好:然而,它们与我们的推测一致,即一些人在与机器人或其他智能系统互动时,可能更愿意展示其文化领域已被修改以符合其文化背景的图像。