Much human-computer interaction work related to depression focuses on the population level (e.g., studying social media hashtags related to depression) or evaluates prototypes for digital interventions to manage depression. However, little is known about how people living with depression perceive and manage technology use, such as time spent on social media per day. For this study, we interviewed 30 individuals living with depression to explore their technology and social media use. We find that these individuals demonstrated emergent practices related to self-regulation, such as learning to monitor and adjust technology use to improve their emotional, cognitive, and behavioral health. Our findings add a human-centered viewpoint to the relationship between living with depression and technology and social media use. We present design implications of these findings for better empowering individuals with depression to encourage their natural inclinations to self-regulate technology and social media use.

In this article, we describe our efforts to retrace and reimagine period tracking technology—or, mobile applications designed to support the documentation and quantification of menstrual cycle data. In their current form, these systems often encourage those who menstruate to extract intimate information about the body (e.g., consistency or color of menstrual flow, physical and emotional symptoms), while promising to predict fertility and offer insight into managing one's period. In doing so, these technologies subtly dictate the forms of knowledge and types of relationships menstruators are expected to establish with their bodies (i.e., transactional or instrumentalized). Through historical analysis and a series of participatory experiments, we offer a vision for menstrual sensemaking that expands on these forms of interaction and ways of knowing to emphasize multiplicity and dimensionality rather than models, predictability, or a user's relation to averages or norms.

Millions of Americans struggle with depression, a condition characterized by feelings of sadness and motivation loss. To understand how individuals managing depression conceptualize their self-management activities, we conducted visual elicitations and semi-structured interviews with 30 participants managing depression in a large city in the U.S. Midwest. Many depression support tools are focused on the individual user and do not often incorporate social features. However, our analysis showed the key importance of sociality for self-management of depression. We describe how individuals connect with specific others to achieve expected support and how these interactions are mediated through locations and communication channels. We discuss factors influencing participants' sociality including relationship roles and expectations, mood state and communication channels, location and privacy, and culture and society. We broaden our understanding of sociality in CSCW through discussing diffuse sociality (being proximate to others but not interacting directly) as an important activity to support depression self-management.

Historically, tattoos have been perceived as a mark of deviant behavior from the perspective of Western medicine. However, cancer survivor tattoos are one of many strategies used to recover from the trauma of cancer diagnosis and treatment. In this study, we seek to understand the significance of these tattoos in the context of survivorship. We interviewed 19 cancer survivors about their survivor tattoos, exploring the benefits of designing, discussing, and displaying these tattoos as elements of emotional recovery post-cancer. We found that the act of designing a survivor tattoo facilitated all three elements of post-traumatic growth processes, including: (1) changed self-perception; (2) changed sense of relationships with others; and (3) changed philosophy of life. Through participants' lived experiences, we discuss information about emotions, health, and recovery encoded in tattoos, and provide implications for tools to help future cancer survivors recover from the trauma of diagnosis and treatment.

The hospital setting creates a high-stakes environment where patients' lives depend on accurate tracking of health data. Despite recent work emphasizing the importance of patients' engagement in their own health care, less is known about how patients track their health and care in the hospital. Through interviews and design probes, we investigated hospitalized patients' tracking activity and analyzed our results using the stage-based personal informatics model. We used this model to understand how to support the tracking needs of hospitalized patients at each stage. In this paper, we discuss hospitalized patients' needs for collaboratively tracking their health with their care team. We suggest future extensions of the stage-based model to accommodate collaborative tracking situations, such as hospitals, where data is collected, analyzed, and acted on by multiple people. Our findings uncover new directions for HCI research and highlight ways to support patients in tracking their care and improving patient safety.

Young adult cancer survivors-individuals in their 20's and 30's-must cope with complicated informational and emotional needs that differ from those of other age groups. Although young adult cancer survivors are resourceful in finding information and support to help meet those needs, they face three distinct, ongoing challenges during and after the cancer experience: (1) feeling isolated; (2) confronting a sense of mortality; and (3) struggling with changing body image and identity. We present empirical findings from qualitative interviews with young adult cancer survivors that demonstrate how these challenges change throughout the illness experience, complicating a survivor's search for information and support. We also characterize the adaptive behaviors survivors employ to overcome these challenges. Given these findings, we suggest design implications for online spaces young adult survivors use to collaborate, as well as resources about privacy and self-presentation that can best support survivors in making decisions about shar-ing information.

We introduce a mixed-methods approach for determining how people weigh tradeoffs in values related to health and technologies for health self-management. Our approach combines interviews with Q-methodology, a method from psychology uniquely suited to quantifying opinions. We derive the framework for structured data collection and analysis for the Q-methodology from theories of self-management of chronic illness and technology adoption. To illustrate the power of this new approach, we used it in a field study of nine older adults with type 2 diabetes, and nine mothers of children with asthma. Our mixed-methods approach provides three key advantages for health design science in HCI: (1) it provides a structured health sciences theoretical framework to guide data collection and analysis; (2) it enhances the coding of unstructured data with statistical patterns of polarizing and consensus views; and (3) it empowers participants to actively weigh competing values that are most personally significant to them.

What is the role of shared calendars for home health management? Utilizing a maximum variation sampling method, we interviewed 20 adult individuals with diabetes and 20 mothers of children with asthma to understand calendar use in the context of chronic disease home health management. In comparing the experiences of these two groups, we explore participants' use of tools for organizing tasks and appointments, their strategies for capturing health and non-health events in the family calendar system, the ecology of artifacts that intersect with their scheduling tools, and the failures they experienced while managing their calendar systems. Through this work, we offer a context-specific perspective of schedule management strategies for individuals and families who must integrate their handling of chronic illnesses with everyday living.