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Auflistung nach Autor:in "Sou, Davinny"

1 - 3 von 3
  • Konferenzbeitrag
    CyMe [si:][mi:]: Personalized and Seamless Menstrual Health Tracking
    (Mensch und Computer 2024 - Workshopband, 2024) Principe, Marinja; Stebler, Debs; Sou, Davinny; Kowatsch, Tobias; Nißen, Marcia
    Menstruating individuals experience various physiological and psychological changes throughout their reproductive lives and each menstrual cycle. Although numerous menstrual health tracking apps, exist, there is limited research on the impact of customization options and personalized visualizations of menstrual cycle data and associated symptoms on user experiences. Furthermore, evidence on the long-term effects of these features on menstrual health awareness and literacy is sparse. This demo contribution presents “CyMe” [siː][miː], a menstrual health tracking prototype designed to support the different needs of individuals while focusing on a simple yet effective reporting approach integrating smartphone and smartwatch data. CyMe focuses on customization options for seamless data reporting and personalized visualizations, enabling users to focus on their individual menstrual health challenges. CyMe also aims to enhance the user experience by giving the user agency over the look and feel of the application, allowing them to adjust self-reporting options, colors, and reminders and connect different sensor devices. This approach should support the wide range of needs of menstruating individuals to be seen and allow users to get actionable insights into their menstrual health.
  • Workshopbeitrag
    Digital Female Health: Advancing Women-Centric Human-Computer Interaction Research
    (Mensch und Computer 2024 - Workshopband, 2024) Nißen, Marcia; Sou, Davinny; Kowatsch, Tobias
    Hormonal changes in the female body function much like an underlying operating system on a computer – constantly running in the background, influencing every aspect of operation, often unnoticed yet crucially impactful. Hormonal dynamics over the life course such as those associated with the menstrual cycle, pregnancy, or the menopausal transition orchestrate a myriad of physiological and psychological processes that shape women’s health , well-being, and behavior, influencing everything from cognitive function and emotional regulation to pain perception, energy levels, and mood, which can also significantly impact individuals’ behavior and thus their interactions with digital health technologies (DHTs). This position paper discusses the need for systematically integrating female-specific data into human-computer interaction (HCI) research in general and the development of DHTs in particular. It further discusses some of the challenges associated with collecting such data and argues for the methodological standardization of sex- and gender-sensitive research methodologies in HCI to enhance the inclusivity and accuracy of DHTs.
  • Konferenzbeitrag
    Please CyMe: Towards Enhancing Menstrual Health Awareness through Customization and Personalized Visualization in a Menstrual Health App
    (Proceedings of Mensch und Computer 2024, 2024) Sou, Davinny; Stebler, Debs; Principe, Marinja; Kowatsch, Tobias; Nißen, Marcia
    Menstruating individuals experience various physiological and psychological changes throughout their reproductive lives and each menstrual cycle (MC). Although numerous digital health technologies (DHTs), such as menstrual health (MH) tracking apps, exist, there is limited research on how customization options and personalized visualizations of MC data and associated symptoms impact user experiences with these technologies. Furthermore, evidence on the long-term effects of these features on MH awareness and literacy is sparse. Therefore, the goals of this research are twofold: First, we examine users’ current experiences and needs regarding MH (technologies) in an online survey with 272 participants, highlighting a discrepancy between individuals’ perceptions and their actual understanding of their MH and its impact on their well-being. Yet, participants showed a strong interest in understanding and managing their MH through DHTs. Desired improvements in MH technologies include more accurate prediction of MC phases, as well as more comprehensive insights and support in managing MH through customization and personalization. Second, to examine how customization options and personalized visualizations of MH data affect user engagement and improve MH awareness and literacy in a longitudinal study with up to 70 participants, we are currently developing the MH study app CyMe [si:][mi:].