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From Observation to Automation: AI-Enhanced Analysis of Hybrid Collaboration
No full textHybrid collaboration presents unique challenges that are distinct from what we see in purely remote or purely co-located forms of collaboration. To investigate these challenges, traditional observational methods are often too labor-intensive, limiting scalability and real-time adaptability. To address these challenges, we developed ACACIA (AI Chain for Augmented Collaborative Interaction Analysis), an AI-powered tool to automate and enhance the study of hybrid teamwork. This paper presents the current state of ACACIA, highlights its strengths, and discusses persistent challenges. Furthermore, it explores recent trends of AI-supported collaboration, providing first visions into its future and inviting discussion on how intelligent tools can transform the way we study and optimize hybrid collaboration. We envision custom GPT models trained specifically for the analysis of hybrid collaboration as well as real-time AI-powered collaboration assistants, aiming for a future in which purely observational research is shifting towards scalable, automated analysis of hybrid collaboration
Self-Management Support (SMS) in Transition: The Case of Osteoporosis Management Support in a Chinese Hospital
No full textSelf-management has become increasingly important with the growing population living with chronic conditions. Self-Management Support (SMS) provided in healthcare systems is essential for its success. While prior research mainly focuses on Western countries, this paper presents a study of SMS practices for osteoporosis management as part of a Whole Course Management (WCM) program recently implemented in the healthcare system in China, which features a new role called case manager in the hospital dedicated to SMS and related coordination. Based on interviews with 22 participants, including one case manager, two physicians, three nurses, seven patients, and nine caregivers, we highlight the importance of the role of case manager in promoting awareness of osteoporosis and self-management, integrated care coordination, and emotional support. At the same time, it also reveals challenges and promising directions to make SMS more effective, mainly in terms of self-management education, active patient involvement, and coordination among the care network. We ended by reflecting on our findings and discussing implications for SMS and the design of ICTs
Dimensions of Human-Machine Combination: Prompting the Development of Deployable Intelligent Decision Systems for Situated Clinical Contexts
No full textWhilst it is commonly reported that healthcare is set to benefit from advances in Artificial Intelligence (AI), there is a consensus that, for clinical AI, a gulf exists between conception and implementation. Here we advocate the increased use of situated design and evaluation to close this gap, showing that in the literature there are comparatively few prospective situated studies. Focusing on the combined human-machine decision-making process - modelling, exchanging and resolving - we highlight the need for advances in exchanging and resolving. We present a novel relational space -contextual dimensions of combination - a means by which researchers, developers and clinicians can begin to frame the issues that must be addressed in order to close the chasm. We introduce a space of eight initial dimensions, namely participating agents, control relations, task overlap, temporal patterning, informational proximity, informational overlap, input influence and output representation coverage. We propose that our awareness of where we are in this space of combination will drive the development of interactions and the designs of AI models themselves. Designs that take account of how user-centered they will need to be for their performance to be translated into societal and individual benefit
Mitigating the anxiety emotion on consuming personalised feed in Chinese social media
No full textAlgorithmic social media feeds curate personalised content, often exposing users to anxiety-inducing posts. While anxiety is typically seen as a negative outcome, my research reveals that many users on RedNote (Xiaohongshu) continue engaging with such content for self-improvement and preparatory coping. However, excessive exposure can disrupt well-being, and existing feed control mechanisms are often ineffective or difficult to navigate. My PhD explores design interventions to help users better understand and manage their anxiety in algorithmic feeds. I investigate LLM-powered anxiety trigger awareness tools, self-tracking visualisations, and tangible reflection devices to support self-awareness, emotional regulation, and more intentional engagement. Through empirical studies and user-centered design, I aim to foster healthier interactions with algorithmic feeds. At ECSCW, I seek feedback on my design decisions and ethical considerations, particularly regarding moderate vs. radical interventions in anxiety-inducing content consumption and the ethical implications of applying LLM technology to non-participant user-generated content
The Resound Sphere: Co-Exploring Alternatives for Community Remote Practice of Faith
No full textWe present the Resound Sphere, a bespoke community-centered technology for supporting remote Religious and Spiritual practices within a Buddhist community. Grounded in a Research through Design inquiry and designed with the participatory engagement of UK Buddhist community members, the Resound Sphere explores alternative ways of connecting remote members in chanting. We reflect on the participatory engagement and how it allowed for a deeper understanding of felt experiences, practices, and community values that progressed our design. Encountering earlier versions of the Resound Sphere, community members advanced the project through four strategies: consolidation, extension, appropriation, and critical reflection. Future work will involve deploying the Resound Sphere in community members’ homes to be used in their daily practices over time. The demo presents a timely opportunity to discuss key considerations with experts in collaborative computing, whilst using the Resound Sphere to speculate on future work in Techno-Spirituality across both HCI and CSCW communities
ORCID and the Fediverse: What Can We Do with Public Information?
No full textORCID is an identification scheme and bibliographic database for academics that aims to make information about researchers’ works widely and easily accessible. The Fediverse is a collection of interoperable social media platforms where people can follow each other across platform boundaries to read and share text posts or other media. Between these two environments, we observe contrasting social norms around “public data” and conflicting expectations on how personal information may be stored and republished. During the early design phase of a tool to bridge ORCID data into the Fediverse and make individual ORCID records followable on open social platforms, we face a need to connect and resolve these differences to prevent avoidable conflicts. This article documents these norms and expectations as well as our approach to connect and bridge them
2nd International Workshop on Hybrid Collaboration–Analyzing Collaborative Interaction
Full text linkHybrid collaboration, where co-located participants are working together with remote participants, is increasingly established as a de-facto standard practice in our everyday professional lives. Since the first edition of this workshop in 2019, the pool of research has considerably increased. However, studying such collaborative practices is still met with skepticism by researchers due to the considerable effort that is connected to the according empirical endeavors. In this workshop, we aim at bringing together researchers and practitioners who are interested in the analysis of collaborative practices in general (i.e., co-located or remote), and/or a domain transfer to hybrid collaboration in particular
Giving Voice to Nature: Digitally Enabled Human-Nature Interaction to Support Restoration Practices in the Shannon River
Full text linkThis project seeks to enable interaction, communication and understandability between humans and the natural environment by means of digital technologies, for collaboration with nature focusing on the aquatic ecosystem, with case study on the Shannon River of Ireland. While water, fishes and plants don’t talk and we can’t easily get their feedback on our sustainability efforts, there are indicators in nature that show how healthy or unhealthy these entities are. But those indicators are mostly available to, or detectable by, scientists who interpret and communicate them only scientifically, making them largely inaccessible to the ordinary citizens. Using the new More-than-Human and Research through Design approaches, this project seeks to make those indicators more accessible to the layperson and to, in the long run, bring about large-scale, citizen-driven, technology-mediated but nature-led actions towards environmental sustainability
Making healthcare data-driven: Ordering, experimenting with, and discovering data
No full textAmid growing ambitions to make healthcare data-driven, the practical work and challenges involved in such transitions remain underexplored. Drawing on four years of ethnographic research in a public Danish healthcare Business Intelligence Unit (BIU), this paper examines the everyday data practices involved in making the healthcare organization data-driven through a case of reorganizing human resource data and developing reporting tools for a workplace well-being initiative. We analyze three interrelated processes - ordering, experimenting, and discovering - that characterize the BIU’s efforts to render data actionable. Rather than depicting data-drivenness as a linear or purely rational process, we show how it involves iterative reconfigurations of infrastructure, reverse-engineering opaque vendor logic, and creatively excavating new data traces. These findings highlight the experimental and situated nature of becoming data-driven and offer a practice-based perspective on ‘becoming data-driven’ in healthcare organizations
Trust as Affects. Conceptualizing trust for digital public services to foster social inclusion for migrants
No full textThe digitalization of public services poses a risk of exacerbating existing social inequalities with migrant communities facing various problems from access to ease of use. Within the Nordics, this poses a particular risk as migration is increasingly necessary for the continuation of the welfare state, but the exclusion risks the foundations of trust and equality that are at their core. By reviewing empirical studies on trust, migrants and public services, we conceptualize trust as an affect that emerges from interactions between individual histories, societal discourses and public institutions. Our work bridges social sciences and HCI together to bring a unique contribution that builds a theoretical framework for trust in public services, particularly digital services, which have not been studied extensively among migrant populations. Our framework supports emerging understandings of trust and indicates shifts necessary in creating and implementing digital public services in ways that support an affect of trust