Consumer health technologies have an enormous potential to transform the self-management of chronic conditions. However, it is unclear how individuals use self-tracking manage them. This in-depth interview study explores practices in multiple sclerosis (MS), a complex neurological disease that causes physical, cognitive, and psychological symptoms. Our findings illustrate when faced unpredictable degenerative nature MS, regained sense control by intertwining self-care with different...

Digital self-tracking technologies offer many potential benefits over with paper notebooks. However, they are often too rigid to support people's practical and emotional needs in everyday settings. To inform the design of more flexible tools, we examine bullet journaling: an analogue customisable approach for logging reflecting on life. Analysing a corpus journal photos related conversations Instagram, found that individuals extended adapted journaling systems their changing through: (1)...

Social virtual reality (VR) platforms have increased in popularity with many people turning to these experience social connection, including a rapid influx of users during the COVID-19 pandemic. However, there is limited understanding how appropriate and use emerging VR applications actively support their mental health wellbeing daily life. Through an online questionnaire exploratory interviews conducted within app VRChat pandemic, we document being used explicitly as tool. Participants...

Self-tracking is an important part of self-care. However, predefined self-tracking approaches can impede people's agency in managing their health. We investigated a customisable and pictorial approach multiple sclerosis self-management by implementing conducting field study Trackly: prototype app that supports people defining colouring trackers, such as body shapes. found participants utilised the elements Trackly designed to support agentive behaviour: they defined personally meaningful...

Background: The occurrences of acute complications arising from hypoglycemia and hyperglycemia peak as young adults with type 1 diabetes (T1D) take control their own care. Continuous glucose monitoring (CGM) devices provide real-time readings enabling users to manage proactively. Machine learning algorithms can use CGM data make ahead-of-time risk predictions insight into an individual’s longer term control. Methods: We introduce explainable machine (<70 mg/dL) (>270 up 60 minutes...

Type 1 Diabetes (T1D) self-management requires hundreds of daily decisions. technologies that use machine learning have significant potential to simplify this process and provide better decision support, but often rely on cumbersome data logging cognitively demanding reflection collected data. We set out co-design identify opportunities for support diabetes in everyday settings. However, over nine months interviews design workshops with 15 people T1D, we had re-assess our assumptions about...

Engaging end user groups with machine learning (ML) models can help align the design of predictive systems people's needs and expectations. We present a co-design study investigating benefits challenges using computational notebooks to inform ML groups. used notebook engage young adults, carers, clinicians an example model that predicted health risk in diabetes care. Through workshops retrospective interviews, we found participants particularly valued interactive data visualisations scaffold...

The real world use and design of personal informatics has been increasingly explored in HCI research the last five years. However, is still a young multidisciplinary area concern facing unrecognised methodological differences offering unarticulated challenges. In this review, we analyse how approached so far using Grounded Theory Literature Review method. We identify (1) psychologically, (2) phenomenologically, (3) humanistically informed stream provide guidance on future systems by mapping...

Co-design is a widely applied design process with well-documented values, including mutual learning and collective creativity. However, the real-world challenges of conducting multidisciplinary co-design research to inform self-care technologies are not well established. We provide qualitative account project that aimed machine applications for Type 1 Diabetes (T1D) self-management. Through interviews, we identify only perceived social, technological strategic benefits but also...

Whilst the use of smart home systems has shown promise in recent years supporting older people's activities at home, there is more evidence needed to understand how these impact type and amount shared care home. It important recipients caregivers' labour changed with introduction a system efficiently effectively support an increasingly aging population technology. Five households (8 participants) were interviewed before, immediately after three months receiving Smart Home Health System...

A detailed understanding of the mental health needs people from refugee backgrounds is crucial for design inclusive technologies. We present a qualitative account digital experiences women backgrounds. Working with community members and workers charitable organisation in UK, we identify social structural challenges, including loneliness access to Participants' accounts document their collective agency addressing these challenges supporting connectedness personal wellbeing daily life:...

Non-communicable diseases e.g., diabetes, cardiovascular conditions, and cancers etc, are slowly becoming silent epidemics in African countries. Most of them closely linked with unique clinical manifestations could go undetected until there is a complication. Management these requires long-term informal care, this has resulted complex network relationships between patients, complementary care providers, formal caregivers. Unfortunately, not many studies investigating from decolonized...

Stairlifts are a widely-used technology in the home that help people with mobility issues to go up and down stairs. However, it is unclear how stairlifts experienced by all household members what this understanding implies for healthcare technologies. We investigated impact of stairlift installations on older adults' households UK through qualitative study investigating lived experience adoption acceptance technology. Interviews focus groups primary users, residents service providers showed...

The intertwined and sometimes contradictory work of managing complex health needs (e.g., discordant, enigmatic, and/or rare conditions) creates many challenges for patients, caregivers, healthcare providers. While researchers have created interventions such as technologies services to address particular needs, must be designed better account gaps in interdependencies across needs. In this workshop we will adopt an ecosystems perspective understand the nature how support management those...

We present a case study that informs the creation of 'companion guide' providing transparency to potential non-expert users ubiquitous machine learning (ML) platform during initial onboarding. Ubiquitous platforms (e.g., smart home systems, including meters and conversational agents) are increasingly commonplace apply complex ML methods. Understanding how non-ML experts comprehend these is important in supporting participants making an informed choice about if they adopt platforms. To aid...

Digital technologies provide significant potential to transform people's lived experiences of working in confined spaces. However, our understanding the challenges and workarounds digital knowledge work on long-haul flights is not well documented. To address this research gap, we present findings a semi-structured interview study with 21 participants investigating nuances airplanes (WoA). We identify contradictory attitudes towards WoA that go beyond spatial limitations, such as well-being...

Although the use of voice assistants to support older adults at home shows promise, little is known about how next generation these devices, which also include displays, can health and care needs. This question has become more important during COVID-19, when issues social isolation for have been exacerbated. During distancing measures in UK, eleven adult households (16 participants) were interviewed before receiving an Amazon Echo Show, shortly after it, three months use. We identify ways...

In this paper we investigate the use of model-based reinforcement learning to assist people with Type 1 Diabetes insulin dose decisions. The proposed architecture consists multiple Echo State Networks predict blood glucose levels combined Model Predictive Controller for planning. Network is a version recurrent neural networks which allows us learn long term dependencies in input time series data an online manner. Additionally, address quantification uncertainty more robust control. Here,...

Gaining an understanding of people's diverse mental health needs is essential for informing the design inclusive technologies. However, conversations about experiences can be challenging both researchers and participants. We present visual cards that illustrate concept to support participants in sharing experiences. iterative with our reflections feedback from ethnically found designing fostered insightful within team regarding roles identity, gender, ethnicity culturally sensitive content...

Explaining health technology platforms to non-technical members of the public is an important part process informed consent. Complex that deal with safety-critical areas are particularly challenging, often operating within private domains (e.g. services home) and used by individuals various understandings hardware, software, algorithmic design. Through two studies, first interview second observational study, we questioned how experts those who designed, built, installed a platform) supported...

Personal informatics technologies, such as consumer fitness tracking devices, have an enormous potential to transform the self-management of chronic conditions. However, it is unclear how people living with relapsing and progressive illnesses experience personal tools in everyday life: what values challenges are associated their use? This research informs design future health technologies through ethnographic study use multiple sclerosis (MS) self-management. Initial findings suggest that...