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. 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 the development of image classification apps that people can understand, trust, and can engage with effectively.
In order to facilitate the usage of the checklist we also developed an online course presenting the concepts and heuristics available online for free in Brazilian Portuguese.
C. Gresse von Wangenheim, G. Dirschschnabel. UX Heuristics and Checklist for Deep Learning powered Mobile Applications with Image Classification. arXiv:2307.05513 [cs.HC], 2023.
G. Dirschnabel. Desenvolvimento de um checklist de avaliação de heurísticas de experiência de usuário de aplicativos com Inteligência Artificial. 2023. Trabalho de Conclusão de Curso. (Graduação em Ciência da Computação) – Universidade Federal de Santa Catarina.