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Author: 1711

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Understanding Interaction with ML through a Thematic Analysis Coding Assistant

Interactive Machine Learning (ML) enables users, including non-experts in ML, to iteratively train and improve ML models. However, limited research has been reported on how non-experts interact with these systems. Focusing on thematic analysis as a practical application, we report on a user study where 20 participants…

Federico Milana et al.University College London

Getting Things Done With AI

Linguistic Diversity and Mental Well-Being: Co-Designing Custom AI Chatbots with Multilingual Mothers

Language plays a crucial role in mental health, from expressing emotions to challenging mental health stigma. While large language models provide significant potential to help address the global mental health crises, it remains unclear how conversational AI chatbots could support linguistic diversity. We investigate t…

Sarah Elwahsh et al.University College London

Exploring Positionality in HCI: Perspectives, Trends, and Challenges

Positionality acknowledges that researchers’ subjectivities, values and experiences influence approaches to and outcomes of research. It underlines and promotes self-awareness and explicit demonstration of reflexivity. To understand how positionality is conceptualised and used in HCI, we conducted two studies: (i) a s…

Aneesha Singh et al.University College London

Exploring the Design Space of Input Modalities for Working in Mixed Reality on Long-haul Flights

Flexible working, including in resource-constrained settings such as long-haul flights, poses considerable challenges. While research in mixed reality (MR) offers the potential for enhancing experiences of working on airplanes (WoA), what input modalities and interactions might be suitable for such workspaces is under…

Wen Mo et al.University College London

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Explanation before Adoption: Supporting Informed Consent for Complex Machine Learning and IoT Health Platforms

Explaining health technology platforms to non-technical members of the public is an important part of the process of informed consent. Complex technology platforms that deal with safety-critical areas are particularly challenging, often operating within private domains (e.g. health services within the home) and used b…

Rachel Eardley et al.University of Bristol

Health and AI

The Shifting Sands of Labour: Changes in Shared Care Work with a Smart Home Health System

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 systems impact the type and the amount of shared care in the home. It is important to understand care recipients and caregivers' labour is changed w…

Ewan Soubutts et al.University of Bristol

Social Virtual Reality as a Mental Health Tool: How People Use VRChat to Support Social Connectedness and Wellbeing

Social virtual reality (VR) platforms have increased in popularity with many people turning to these platforms to experience social connection, including a rapid influx of users during the COVID-19 pandemic. However, there is limited understanding of how people appropriate and use emerging social VR applications to ac…

Mairi Therese Deighan et al.University of Bristol

Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models

Engaging end user groups with machine learning (ML) models can help align the design of predictive systems with people’s needs and expectations. We present a co-design study investigating the benefits and challenges of using computational notebooks to inform ML models with end user groups. We used a computational note…

Amid Ayobi et al.University College London

Digital Mental Health and Social Connectedness: Experiences of Women from Refugee Backgrounds

A detailed understanding of the mental health needs of people from refugee backgrounds is important for the design of inclusive mental health technologies and services. We present a qualitative account of the digital mental health experiences of women from refugee backgrounds. Working with community members and commun…

Amid Ayobi et al.University College London

Mental Health; Mental Health

Aging in Place Together: The Journey Towards Adoption and Acceptance of Stairlifts in Multi-Resident Homes

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 are experienced by all household members and what this understanding implies for home healthcare technologies. We investigated the impact of stairlift installations…

Ewan Soubutts et al.University of Bristol

Aging with Technology

Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies

Co-design is a widely applied design process with well-documented benefits, including mutual learning and collective creativity. However, the real-world challenges of conducting multidisciplinary co-design research to inform the design of self-care technologies are not well established. We provide a qualitative accoun…

Amid Ayobi et al.University College London

Personal and Mental Health

Designing Visual Cards for Digital Mental Health Research with Ethnic Minorities

Gaining an understanding of people’s diverse mental health needs is essential for informing the design of inclusive mental health technologies. However, conversations about mental health experiences can be challenging for both researchers and participants. We present the design of visual cards that illustrate an inclu…

Amid Ayobi et al.University College London

Trackly: A Customisable and Pictorial Self-Tracking App to Support Agency in Multiple Sclerosis Self-Care

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 self-tracking approach in multiple sclerosis self-management by implementing and conducting a field study of Trackly: a prototy…

Amid Ayobi et al.University College London

Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals

Digital self-tracking technologies offer many potential benefits over self-tracking 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 self-tracking tools, we examine bullet journaling: an analogue and cu…

Amid Ayobi et al.University College London

Paper Title	Authors	Research Topics
Understanding Interaction with ML through a Thematic Analysis Coding Assistant Interactive Machine Learning (ML) enables users, including non-experts in ML, to iteratively train and improve ML models. However, limited research has been reported on how non-experts interact with these systems. Focusing on thematic analysis as a practical application, we report on a user study where 20 participants…	FM Federico Milana et al.University College London	Getting Things Done With AI
Linguistic Diversity and Mental Well-Being: Co-Designing Custom AI Chatbots with Multilingual Mothers Language plays a crucial role in mental health, from expressing emotions to challenging mental health stigma. While large language models provide significant potential to help address the global mental health crises, it remains unclear how conversational AI chatbots could support linguistic diversity. We investigate t…	SE Sarah Elwahsh et al.University College London
Exploring Positionality in HCI: Perspectives, Trends, and Challenges Positionality acknowledges that researchers’ subjectivities, values and experiences influence approaches to and outcomes of research. It underlines and promotes self-awareness and explicit demonstration of reflexivity. To understand how positionality is conceptualised and used in HCI, we conducted two studies: (i) a s…	AS Aneesha Singh et al.University College London
Exploring the Design Space of Input Modalities for Working in Mixed Reality on Long-haul Flights Flexible working, including in resource-constrained settings such as long-haul flights, poses considerable challenges. While research in mixed reality (MR) offers the potential for enhancing experiences of working on airplanes (WoA), what input modalities and interactions might be suitable for such workspaces is under…	WM Wen Mo et al.University College London
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Explanation before Adoption: Supporting Informed Consent for Complex Machine Learning and IoT Health Platforms Explaining health technology platforms to non-technical members of the public is an important part of the process of informed consent. Complex technology platforms that deal with safety-critical areas are particularly challenging, often operating within private domains (e.g. health services within the home) and used b…	RE Rachel Eardley et al.University of Bristol	Health and AI
The Shifting Sands of Labour: Changes in Shared Care Work with a Smart Home Health System 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 systems impact the type and the amount of shared care in the home. It is important to understand care recipients and caregivers' labour is changed w…	ES Ewan Soubutts et al.University of Bristol
Social Virtual Reality as a Mental Health Tool: How People Use VRChat to Support Social Connectedness and Wellbeing Social virtual reality (VR) platforms have increased in popularity with many people turning to these platforms to experience social connection, including a rapid influx of users during the COVID-19 pandemic. However, there is limited understanding of how people appropriate and use emerging social VR applications to ac…	MD Mairi Therese Deighan et al.University of Bristol
Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models Engaging end user groups with machine learning (ML) models can help align the design of predictive systems with people’s needs and expectations. We present a co-design study investigating the benefits and challenges of using computational notebooks to inform ML models with end user groups. We used a computational note…	AA Amid Ayobi et al.University College London
Digital Mental Health and Social Connectedness: Experiences of Women from Refugee Backgrounds A detailed understanding of the mental health needs of people from refugee backgrounds is important for the design of inclusive mental health technologies and services. We present a qualitative account of the digital mental health experiences of women from refugee backgrounds. Working with community members and commun…	AA Amid Ayobi et al.University College London	Mental Health; Mental Health
Aging in Place Together: The Journey Towards Adoption and Acceptance of Stairlifts in Multi-Resident Homes 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 are experienced by all household members and what this understanding implies for home healthcare technologies. We investigated the impact of stairlift installations…	ES Ewan Soubutts et al.University of Bristol	Aging with Technology
emoji_events Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies Co-design is a widely applied design process with well-documented benefits, including mutual learning and collective creativity. However, the real-world challenges of conducting multidisciplinary co-design research to inform the design of self-care technologies are not well established. We provide a qualitative accoun…	AA Amid Ayobi et al.University College London	Personal and Mental Health
Designing Visual Cards for Digital Mental Health Research with Ethnic Minorities Gaining an understanding of people’s diverse mental health needs is essential for informing the design of inclusive mental health technologies. However, conversations about mental health experiences can be challenging for both researchers and participants. We present the design of visual cards that illustrate an inclu…	AA Amid Ayobi et al.University College London
Trackly: A Customisable and Pictorial Self-Tracking App to Support Agency in Multiple Sclerosis Self-Care 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 self-tracking approach in multiple sclerosis self-management by implementing and conducting a field study of Trackly: a prototy…	AA Amid Ayobi et al.University College London
Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals Digital self-tracking technologies offer many potential benefits over self-tracking 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 self-tracking tools, we examine bullet journaling: an analogue and cu…	AA Amid Ayobi et al.University College London