Advances in mobile applications providing image classification enabled by
Deep Learning require innovative User Experience solutions in order to assure
their adequate use by users. To aid the design process, usability heuristics
are typically customized for a specific kind of application. Therefore, based
on a literature review and analyzing existing mobile applications with image
classification, we propose an initial set of AIX heuristics for Deep Learning
powered mobile applications with image classification decomposed into a
checklist. In order to facilitate the usage of the checklist we also developed
an online course presenting the concepts and heuristics as well as a web-based
tool in order to support an evaluation using these heuristics. These results of
this research can be used to guide the design of the interfaces of such
applications as well as support the conduction of heuristic evaluations
supporting practitioners to develop image classification apps that people can
understand, trust, and can engage with effectively.

在移动应用程序的深度学习分类与设计方面，我们提出了适合的 AIX 原则和点击列表，以及一个在线课程和支持这些原则的网络应用程序工具。