UX Heuristics and Checklist for Deep Learning powered Mobile Applications with Image Classification
This work addresses usability challenges for practitioners developing image classification apps, but it is incremental as it adapts existing heuristic methods to a specific domain.
The paper tackled the need for user experience guidelines in deep learning-powered mobile image classification apps by proposing a set of AIX heuristics and a checklist, supported by an online course and web tool to aid design and evaluation.
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.