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Situated construction of interactional space in hybrid training settings
No full textThe aim of the paper is to introduce the conversation analytic (CA) method and present an analysis of how it can be deployed in practice. Our more detailed focus is on the situated verbal, embodied and screen-based practices of participants in hybrid training settings and ways in which interactional space between a co-located and remote party is constructed through locally coordinated conduct. We highlight CA as an empirical bottom-up approach that can shed light on the resources participants use to collaborate with one another in authentic hybrid interactional settings
Supporting Healthcare Workflows with Smart Glasses: Insights from a Participatory Design Study on Post-Stroke Patient Positioning
No full textThe shortage of healthcare practitioners in developed countries, combined with insufficient digital infrastructures and limited digital teaching opportunities in healthcare training, affects both patient care quality and the well-being of healthcare workers. To address this, innovative technologies have emerged to support professionals in learning complex interventions while alleviating workload pressures. This study focuses on smart glasses as a digital assistive learning tool in healthcare training. We conducted a study with 52 healthcare practitioners who used smart glasses to assist in patient positioning by following a predefined workflow based on the Bobath Concept. Through observations, interviews, and usability testing, we evaluated the system’s impact on learning experiences, workflow integration, and workload. Our findings suggest that smart glasses enhance learning and workflow integration, with variations in workload perception based on experience levels. However, several challenges remain, including issues with voice recognition, image quality, and maintaining focus on the patient. This research contributes to the ongoing discourse by providing recommendations for optimizing smart glasses in healthcare education and practice, emphasizing their role in bridging training gaps, supporting healthcare workflows, and enhancing the point of care experience
Success Factors in Civic Tech Grassroots Software Ecosystems: Preliminary Findings from an Exploratory Case Study
No full textGrassroots civic technology (civic tech) uses collective action-based software creation to drive social change, such as citizen-led environmental monitoring. There exists several grassroots successes, but the phenomenon is not yet well understood or analyzed through the lens of existing software project or ecosystem theories. This initial, exploratory case study examines the factors that influence the growth and sustainability of civic tech software ecosystems, with a particular focus on the trajectories and inflection points of civic tech projects as they scale. The goal is to identify success factors that influence the growth and sustainability of civic tech software ecosystems. Tentative findings indicate that grassroots civic tech software ecosystems can follow similar patterns to FLOSS software ecosystems, where they achieve global reach by effectively engaging and empowering local actors, fostering participation, and developing local-global interaction
Mediating Meeting Dynamics: An Exploration of AI-Based Multimodal Feedback in Hybrid Meetings
No full textHybrid meetings have become common practice in collaborative work, yet they present unique challenges in ensuring the integration of participants regardless of their physical location.
Adaptive multimodal feedback, facilitated by Artificial Intelligence~(AI), can reshape and mediate hybrid settings by analysing meeting dynamics and providing timely interventions.
In this exploratory study, we investigate how a multimodal visual and haptic tool mediates hybrid meetings through AI-based multimodal feedback.
In two hybrid meetings within a company, we explore participants' experiences and perspectives on the role of AI and human intervention in meeting facilitation.
Our findings suggest that while AI-driven mediation through subtle multimodal feedback can enhance awareness and communication in hybrid settings, participants prefer to attribute responsibility for necessary interventions, such as managing disruptions in turn-taking, to the adaptive system. Particularly in asymmetric hybrid settings, AI-generated feedback is valued due to its perceived objectivity.
By examining AI's role in redistributing agency and decision-making in hybrid meetings, our study invites critical reflection on the evolving role of AI in collaborative work
Democratising Repair Expertise: Designing Socio-Technical Systems to Capture Tacit Knowledge and Support Sustainable Repair Practices
Full text linkRepair work has been the focus of the CSCW, especially in recognising system breakdowns. However, little focus has been given to developing socio-technical systems that support the implicit nature of repair. A significant amount of embodied and implicit knowledge is required when repairs are needed or when breakdowns occur. How can technology be designed to extract and capture that knowledge to assist repair work? In this context, this project explores how to design creative support tools for experts in community-based repair cafés to utilise while they address breakdowns. This project employs an ethnomethodological approach to observe repair work settings and uses co-design to understand interventions and identify effective technologies. Findings tell that DIY videos have not been particularly useful in the repair process, and there is a lack of a knowledge repository that can assist in the process of elimination when deciding the next best action in repairs. The aim is to develop a framework that facilitates how humans can converse with machines, capturing their decision-making processes and understanding, which can aid in performing their repair work. Contributing to sustainability by making the repair process more efficient, reducing waste, promoting product longevity, and supporting circular economy practices
Personalization by Design: A Case Study on CardaFit’s Appropriation in Workplace Settings
No full textThis paper presents an appropriation study of CardaFit, a cross-platform mobile application designed to mitigate the negative health
effects of prolonged sitting among desk workers. The app promotes micro-interventions through brief, repeated health reminders
that encourage hydration, movement, physical activity, and regular breaks during work hours. CardaFit integrates practice-centered
design with personalized notifications, gamification elements, and meal recommendations. The system emphasizes tailorability, user
control, and motivational feedback mechanisms, while incorporating context-sensitive nudging to support behavioral change. This
demo contributes to the understanding of design principles and features grounded in user feedback, enhancing both relevance and
usability, and paving the way for AI-driven personalization, user autonomy, and privacy-aware interactions. Through a longitudinal
study, we demonstrate the viability of CardaFit as a realistic and accessible solution for fostering sustainable wellness behaviors in
technology-mediated work environments
Cooperative Intelligence: Human-Artificial Intelligence at Work
No full textThis workshop investigates the developing notion of cooperative intelligence—the collaborative capability arising from human-AI interaction within working environments. Based on inter-disciplinary insights from CSCW (Computer-Supported Cooperative Work), HCI (Human Computer Interaction), and research on human-AI systems, it looks to engage with how AI (Artificial Intelligence) systems adapt cooperatively with humans, redefine work roles, affect team dynamics, communication, well-being, and identity. Foremost, studies have identified opportunities for mutually-beneficial decision-making as well as risks such as exclusion and ethical uncertainty. The increasing prominence of generative AI complicates the situation, rewriting white-collar work while generating new manager responsibilities. The workshop aims to investigate such dynamics, more notably regulation, power, and responsibility, and opens up for an array of submissions—from empirical case studies, through theory- and design-led ones. Through sharing of knowledge through collaborative activities, the workshop encourages cross-disciplinary and discursive dialogue, as well as the identification of pathways for incorporating AI into work practices that are both transparent, human-centred, as well as inclusive
Text-based patient – doctor discourse online and patients’ experiences of empathy
No full textEmpathic responding matters in face-to-face medical consultations. We have previously shown that patients' perceptions of doctor empathy also support positive experiences at an online clinic. However, there is still little knowledge about what types of communication influence patients’ online experiences of empathy. In this study we investigated text-based patient-doctor discourse at an online clinic using an adaptation of the Roter Interaction Analysis System (RIAS). Our aims were 1) to assess the reliability of the adapted RIAS 2) to investigate what characteristics are common during the text-based consultations and 3) to examine how the doctor’s discourse relates to the patients’ experience of empathy online. Based on the inter-rater reliability analyses the conversational clusters of Social ( = 0.950), Biomedical ( = 0.939), and Technology related talk ( = 0.833), Procedural statements ( = 0.693) and Agreement ( = 0.687) were rated with acceptable reliability. Biomedical topics were most common in both patients’ and doctors’ communication. Patients’ experience of doctors’ empathy was positively correlated with the amount of doctor’s psychosocial talk and procedural statements although the effect sizes were small ( < 0.30 for all models). These results encourage the use of personal talk and giving clear instructions to patients about the care process at a text-based online clinic focusing on brief consultations
How Data Work Transforms the Management of Primary Care
No full textPrimary healthcare institutions are incentivized to become more data-driven, as digital health data hold promises of being a gold mine for governance and service delivery. However, data go beyond being simple collections of raw information; they are influenced by social processes and established infrastructures. Hence, data acquire use value in context, through so-called ‘data practices’, or ‘data work’. This PhD project, a contribution to the emerging field of ‘data work studies’, looks into how healthcare managers are utilizing information systems and digital data for decision-making and planning. I’m interested in what happens in the backstage of healthcare institutions, when secondary data is used to support managerial processes. Adopting an ethnographic approach to these practices, I have conducted fieldwork in four Norwegian municipalities. Preliminary results imply that data work has substantial implications for managers and their staff. It often requires highly varied skillsets, which are not accounted for in terms of resources and recognition. This PhD project will enrich our understanding of managerial data practices in healthcare, and how they potentially can be improved - a crucial issue for the quality of future healthcare services
Transitioning and Navigating Space in Hybrid Collaboration
No full textHybrid collaboration is typically bound to fixed setups and constrained by video conferencing tools. In contrast, co-located collaboration is fluid and mobile, unfolding across different spaces, transitioning between these, and evolving with the needs of the participants and the meeting. To foster more inclusive hybrid work, I argue that hybrid collaboration must also extend into these informal, mobile, and ad-hoc settings, enabling remote participants to take part in collaboration as it naturally occurs within co-located environments. This includes not only supporting hybrid meetings independent of the meeting room setup, but also enabling participation across transitions between spaces. In co-located work, such transitions are seamless, as the shared physical space moves with the collaborators. In hybrid settings, however, these transitions are often not feasible, leaving remote participants behind when collaboration moves outside of the meeting room. In this position paper, I outline key challenges in enabling mobile hybrid collaboration and propose discussion points on how we might design and research hybrid collaboration that goes beyond the meeting room