@inproceedings{sahin_ippoliti_sweepix_2025,
Author = {Şahin İppoliti, Hatice and Bender-Saebelkampf, Christian and Abdenebaoui, Larbi},
Title = {SweePix! A Machine Learning Driven Gallery Cleaning App Adapted to User Behavior},

Year = {2025},
Pages = {1-6},
Month = {September},
Publisher = {Association for Computing Machinery},
Series = {MobileHCI '25 Adjunct},
Booktitle = {Adjunct Proceedings of the 27th International Conference on Mobile Human-Computer Interaction},
Doi = {10.1145/3737821.3749562},
type = {inproceedings},
Abstract = {As individuals accumulate large numbers of images, many of which are redundant or low-quality, identifying and deleting unnecessary photos becomes a time-consuming task. This study explores a gallery cleaning app that aims to use machine learning to help users manage their digital photo collections more efficiently. The app adapts to individual preferences by learning from user behavior, offering personalized suggestions for deletions. We evaluate the effectiveness of the app in cleaning participants’ galleries and examine whether its personalization features impact the overall cleaning process. While personalization did not significantly improve the results in the current study, the findings contribute to the growing field of Human-Centered AI, demonstrating how adaptive systems may improve user experiences by aligning with individual needs in AI-driven applications.}
}
@COMMENT{Bibtex file generated on }