Monica Female Health Care by Muling Huang and Xintong Li |
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| DESIGN DETAILS | |||||
| DESIGN NAME: Monica PRIMARY FUNCTION: Female Health Care INSPIRATION: A common hormonal disorder that affects ovaries in women during childbearing years. At least one out of every ten women in the world has a PCOS (polycystic ovary syndrome). Worryingly, due to women's neglect, nearly 70% of PCOS women worldwide are not diagnosed in time. UNIQUE PROPERTIES / PROJECT DESCRIPTION: Monica is an app designed for women with PCOS (polycystic ovary syndrome). Based on artificial intelligence technology, Monica simulates the role of girlfriends, popularizes knowledge related to diseases for female patients, encourages patients with PCOS to face up to diseases, and guides patients to actively adjust themselves and pay attention to their endocrine system health. Monica calls on women to put down their psychological burden, get treatment and embrace a better life. OPERATION / FLOW / INTERACTION: Through the selection and recording of personal information, Monica provides customized treatment guidance for women with PCOS. Monica instructs them to adjust their endocrine system by strengthening exercise, regular work and rest, planning a diet, and taking medication on time. In addition, users can share their experiences and encourage each other in the community. PROJECT DURATION AND LOCATION: The project started in July 2020 and finished in September 2020 in China. |
PRODUCTION / REALIZATION TECHNOLOGY: Conversational AI is the key realization technology of Monica, which is presented in the form of a dialog-like user interface (Conversational UI). Conversational UI (CUI) can interact with users in the most natural and friendly way of dialogue, making digital products not as cold as machines, and closer to the real needs of users. For Monica, an app that focuses on women's health, this format is perfect. SPECIFICATIONS / TECHNICAL PROPERTIES: The app is designed for iOS & Android platforms, fitting various screen sizes. Referring to the submitted entry the design is made for iPhone 11 Pro. Screen Size 1242px x 2688px and Resolution 458 ppi. TAGS: Female, health, care, mobile app, community, artificial intelligence RESEARCH ABSTRACT: Our research in this project is mainly about how to ensure that the design provides physical and psychological support for women with PCOS. Through literature research and interviews with doctors, patients and other women, we learned about the treatment methods of PCOS and the true psychological state and demands of target users. After that, we designed Monica version 1.0 and solicited feedback from them, through which we conducted further evaluation and optimization to form the current version. CHALLENGE: We had to create a friendly, trustworthy and empathetic role for women, and provide humanized and customized support and guidance for patients with PCOS. We hope that Monica can help them face the disease, actively treat it, and reduce negative emotions without overly interfering in the lives of patients. ADDED DATE: 2020-09-21 08:11:47 TEAM MEMBERS (8) : Muling Huang, Xintong Li, Pitchayapat Sonchaeng, Lingyan Zhang, Yue Hao, Yingqiao Chen, Ying Zhou and Xiaoqing Wang IMAGE CREDITS: Muling Huang and Xintong Li, 2020. |
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NAME: Zhejiang University PROFILE: Zhejiang University is a comprehensive national university. Founded in 1897, Zhejiang University was initially known as “Qiushi Shuyuan” (Qiushi Academy), one of the earliest modern academies of higher learning established in China. At the turn of the century, the university is taking full advantage of the opportunities brought by the amalgamation, and will continue to give priority to education and research. It seeks to offer service to the nation's economic development, and to make every effort to build itself into an institution on a par with the first-class university in the world. |
| AWARD DETAILS | |
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Monica Female Health Care by Muling Huang and Xintong Li is Winner in Mobile Technologies, Applications and Software Design Category, 2020 - 2021.· Press Members: Login or Register to request an exclusive interview with Muling Huang and Xintong Li. · Click here to register inorder to view the profile and other works by Muling Huang and Xintong Li. |
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