Abstract: 【Purpose/significance】Aiming at the privacy and security of elderly users in the context of aging, we explore and quantify the privacy preferences of elderly users in the process of App usage, so as to provide insights and references for the design of privacy functions of aging-adapted Apps.【Method/processes】A research model of privacy preferences of elderly users′ Apps in the context of ageing is constructed, and discrete choice experiment is used to mine and reveal the privacy preference features of elderly users in the process of App usage based on mixed logit model and latent class model.【Result/conclusion】The results indicate that the level of App privacy protection, information transparency, information understanding and privacy settings have a significant effect on the pri⁃ vacy preferences of elderly users, while the effect of information acquisition is not significant. Based on these findings, suggestions for optimizing privacy protection in age-Appropriate Apps are proposed, encompassing aspects such as aligning with physiological func⁃ tions, establishing trust connections, and enhancing privacy education.【Innovation/limitation】Based on the discrete choice experi⁃ ment, a new idea is provided for the study of privacy protection experience in the context of aging, and corresponding functional im⁃ provement suggestions are made based on the empirical results, which provide theoretical support for the aging adaptation of privacy protection function design. Future research can improve the discrete choice model to carry out more in-depth empirical research based on the attribute level of preference heterogeneity.