| Summary: | 碩士 === 國立清華大學 === 資訊工程學系 === 105 === Mobile friend-making apps emerge one after another in recent years. For example, Tinder, the leader of mobile friend-making apps, has about five hundred million registered users and an amount of daily active users. Other mobile friend-making apps such as BeeTalk, OkCupid and WooTalk also successfully attract their customers and find out their royal users. To look further into these users, young crowd is one of the main users group. However, the behavior of young crowd on mobile friend-making apps is currently unknown. In this paper, a mobile friend-making app is implemented and pushed to Google Play Store and Apple Store, collecting about one thousand five hundred user data as objective metrics. On the other side, about three hundred responses are collected as subjective metrics from questionnaire survey. From app user data and questionnaire responses, user behavior analysis is conducted from four phases including user motivation, gender differences, chat and friends. Through studying young crowd behavior on mobile friend-making apps, people could further understand young crowd in different angle. Moreover, it also provides a design reference to mobile friend-making apps.
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