2026-10-14T09:46:07Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33928376 2026-09-18T10:09:47Z category_146 category_7 category_19 category_21 category_272 category_45 category_734 category_931 category_106 portal_87 item_type_3 month_year_09_2026

mUXSmellDetection: An LLM-Assisted Framework for Automated UX Smell Detection in Mobile Apps Haifa Alshammare (25071542) Mohammad Alshayeb (5675999) Malak Baslyman (22810465) Space Science Medicine Pharmacology Biotechnology Environmental Sciences not elsewhere classified Sociology Biological Sciences not elsewhere classified Information Systems not elsewhere classified Science Policy Mobile applications user experience UX smells HCI LLM <p>Mobile applications increasingly support critical services, making high-quality user experience (UX) essential. Nevertheless, scalable UX evaluation remains challenging because it relies on expert judgment and heterogeneous evidence. This study introduces mUXSmellDetection, a catalog-driven, multi-modal framework for automated UX smell detection in Java-based Android applications. A Mobile UX Smells Catalog was developed, comprising 40 standardized UX smells with explicit detection rules and evidence requirements. The framework integrates runtime interaction logs collected through hybrid in-app and system-level logging, GUI screenshots, and Java AST-based code metadata, which are transformed into structured prompts for large language models (LLMs). The approach was evaluated on ten real-world Android applications using GPT-4o, GPT-5, and GPT-5 Thinking. Detection results were compared to an expert baseline established by three UX experts. GPT-5 achieved the highest overall performance, with 94.29% Precision, 89.19% Recall, and 91.67% F1-score. These findings indicate that multi-modal evidence enables scalable and practical automated UX smell detection.</p> 2026-09-18T10:09:47Z Dataset Dataset 10.6084/m9.figshare.33928376.v1 https://figshare.com/articles/dataset/mUXSmellDetection_An_LLM-Assisted_Framework_for_Automated_UX_Smell_Detection_in_Mobile_Apps/33928376 CC BY 4.0