Technology Category
Humans and AI: User Experience and UsabilitySearch and Optimization: ApplicationsCognitive Modeling & Cognitive Systems: Applications
Age Matters: Analyzing Age-Related Discussions in App Reviews
🤖 AI Summary
This study addresses a significant gap in mobile application design: the lack of systematic understanding of age-related usability barriers that hinder inclusive user experiences across different age groups. To bridge this gap, the authors construct and annotate a large-scale dataset comprising 4,163 age-related reviews from Google Play—the first of its kind—and employ mixed-methods analysis to identify six core themes reflecting user concerns tied to age. They further evaluate eight classification models, including RoBERTa, for automated detection of age-related issues, with the best-performing model achieving a precision of 92.46%. The findings offer empirical grounding and actionable insights for age-inclusive design, advancing the development of mobile applications that better serve users of all ages.
Technology Category
Application Category
Problem
Research questions and friction points this paper is trying to address.
age-related issues
mobile apps
user needs
app usability
age inclusivity
Innovation
Methods, ideas, or system contributions that make the work stand out.
age-inclusive design
app review analysis
RoBERTa
automated age-discussion detection
user experience across age groups
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