2023/07/05 by Christiane Gresse von Wangenheim, von Wangenheim, Christiane Gresse, Gustavo Dirschnabel +1
Computer Science · Engineering · #AI in Service Interactions #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Green IT and Sustainability #Human-Computer Interaction (cs.HC) #I.4.9 #IoT and Edge/Fog Computing #none
paper · pdf · doi:10.48550/arxiv.2307.05513
openalex publication_date 2023/07/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.