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Podcast “Two in a car”: A case of fostering digital literacy in a senior community
No full textWhile digital tools offer potential for social participation, health promotion, and everyday support for older adults, seniors still remain underrepresented in digital spaces. Internet use among seniors is growing, but mainly for seniors with certain characteristics (e.g. higher education, male, under 75 years old). Further, seniors have rather a consuming role than a content creating role. How to foster the latter is currently a topic underrepresented in literature. Therefore, this paper presents a case study on a community-based initiative aimed at enabling older adults to move beyond basic digital skills toward digital literacy and social media content creation. We explore how older adults can be supported in taking on active digital roles, how sustained motivation can be fostered, and what individual and social outcomes emerge from their engagement. The findings provide insights into how fostering digital inclusion in later life can work
Exploring AI Integration in SME Production Planning: Design Spaces and the Role of Workers
No full textThe pressure to improve products, services, and processes to remain competitive in the global market has fueled demand for affordable, high-quality, customized products with excellent availability and customer service. Production Planning and Scheduling (PPS) considers a wide range of internal and external factors in its attempts to align production with market demand. Advanced Planning and Scheduling (APS) systems have emerged to support PPS but suffer from issues such as deterministic views and practical uncertainties. Expectations are high that Artificial Intelligence (AI) and Machine Learning (ML) will support complex production planning tasks by analyzing operational data to generate optimal plans. However, there is currently little empirical research on production planning practices and what role AI might play. Our paper highlights current challenges in production planning practices and outlines design spaces for using AI and ML to support these practices. Based on an empirical study of three German small and medium-sized enterprises (SMEs) in the metal processing industry, we uncover how AI might estimate processing time and rework probability and thus we outline current design spaces for AI in production planning
Stuck in the Loop of Unemployment
No full textThis paper investigates the types of work that unemployed youths perform as part of their obligations to the Norwegian Labour and Welfare Administration (WA) while receiving services and financial benefits. Our findings identify two primary categories of work: the use of digital self-services for mainly administrative purposes and the relational work involving interactions with advisors and other clients. We found that digital self-services often delegate small, fragmented tasks to clients, which are perceived as mechanisms of control. In contrast, the relational interactions are experienced as valuable support, assisting clients in navigating and progressing their situation. We discuss the nature and implications of digital self-service work and propose design alternatives aimed at enhancing clients' understanding of the employment process, emphasizing the importance of task significance within a wider context. Additionally, we examine the role and limitations of digital self-service within public welfare administration, particularly in assisting clients facing challenging life circumstances. To address the complex issue of youth unemployment, we suggest a participatory approach, aiming to help young individuals break the 'loop of unemployment.
Understanding Distributed Cooperative Work through Data Traces
No full textUnderstanding cooperative work in distributed and hybrid settings is complex due to the interplay of multiple artifacts, technologies, and collaboration styles. This paper uses an auto-ethnographic approach to explore the collaborative practices of a geographically distributed scientific research team over one year, introducing Data Traces as a novel method for capturing interactions with artifacts and team members. We examine how Data Traces can support reflection and development of long-term group collaboration by providing detailed insights—such as patterns of teamwork and coordination—into the collaborative practices of the team. Our analysis produced three main findings: (1) Data Traces help visualize temporal rhythms in cooperative work, (2) Data Traces are shaped by the proximity across collocated, hybrid, or distributed participants, and (3) Data Traces cannot capture invisible work. These results contribute to the broader discussion on data tracking in CSCW by demonstrating the potential of Data Traces as a feature of cooperative technologies supporting group reflection connecting the use and relations of artifacts, devices, and applications in the larger ecology of artifacts
Developing an Action Plan for Rural Informatics
No full textDespite almost a quarter of the world’s population living in rural areas, rural-focused CSCW makes up a tiny fraction of published CSCW research and design. When CSCW work does focus on the rural there are issues with the way rurality is identified and understood and limitations in the approaches to research and design in rural contexts. Building on a recent increased interest in Rural Informatics, which has drawn on social science scholarship to take stock of previous rural research and set an agenda for rural computing, we aim to identify opportunities for CSCW research to engage with rural issues and foster a Rural Informatics community of practice. As the world relies ever more on rural areas and the importance of information technology to rural resilience is ever more apparent, the need to innovate and design from the rural must become more central to CSCW.
Thematic Analysis in HCI: a “crash course”
Full text linkThematic analysis is a flexible, accessible and versatile qualitative method, but how can we use it effectively in HCI so that we reach rich and insightful analysis, avoiding the pitfalls of surface level descriptions and ‘bucket themes’? In this one day workshop we will walk participants through the entire process of a thematic analysis, working with a real world dataset, working through familiarisation and code generation through to developing and defining themes. Along the way, we will examine the potential of AI tools and language models in how they may be able to help (or hinder) the process. Participants will come away having attempted each step of a thematic analysis, having a firm sense of what this process looks like in practice
“You read their news? Masochist!” – Ukrainian Refugee Women’s Information Strategies, Challenges, and Requirements for a Fake News Detection Tool
No full textThe internet is an essential tool for migrants for information search and for overcoming challenges in their host country, but some
challenges remain – especially when it comes to the exposure to false information. In our explorative study, we have conducted focus
groups, semi-structured interviews and informal conversations with women from Ukraine who have recently arrived in Germany. Our
goal was to investigate their information strategies, challenges and ways to deal with misinformation. One particular aspect which has
emerged from our findings was the question how they navigate sources they distrust. We discuss requirements for an intervention
that may help these people detect misinformation and further research questions yet to be explored
Evolution of Information Infrastructures in Healthcare as Convergence of Digital Trajectories
No full textIn information infrastructures at hospitals, various stakeholders are responsible for specific information and communications technology (ICT) portfolios. Each portfolio represents a unique digital trajectory with a past, present, and future. This study investigated how stakeholders (in this study, software developers, ICT operations organizations, and users) collaborate to facilitate the convergence of different digital trajectories, thus contributing to the successful evolution of information infrastructures. Empirically, we focused on the preparatory work involved in implementing an app that would enable nurses to register and calculate National Early Warning Scores at Nordland Hospital in northern Norway. Specifically, we examined the collaboration between three stakeholders to align their respective ICT portfolios and prepare for the new solution. These stakeholders were the Finnish software developer Medanets, the Norwegian Electronic Health Record developer DIPS ASA, and the Northern Norway Regional Health Authority, which governed the regional health ICT infrastructure. These stakeholders governed three distinct portfolios that had been developed over many years and, in this sense, represented digital trajectories with a past, a present, and a possible future. This study is positioned within the computer-supported cooperative work field, and the analysis draws upon the theoretical concepts of information infrastructure and trajectories
Workplace Aspects of Knowledge and Expertise Sharing Practices Supported by Augmented Reality Systems: Findings from a Design Case Study
No full textIn this article, we present findings concerning how environment can both impact upon and be impacted by knowledge and expertise sharing practices (KES) supported by augmented reality (AR) systems. We draw on findings from a Design Case Study (DCS) carried out for the design and evaluation of an AR system to support KES in complex production contexts. Our results suggest that the proposed system not only changes the perception of the technical environment but is itself gradually perceived as an element of it. The results also reveal changes in the employees’ focus of attention when working with the AR-aid in question and how they individually adapt to it. Moreover, our findings suggest that the proposed system facilitates a change in the proximity between experts and non-experts, bridging spatial and temporal distances, fostering cooperation between those two categories of workers, at the same time that enhance their autonomy. Overall, the results highlight how changes in the social environment of digitised production cannot be separated from changes in the technical environment
The Social Convergence of Information Disorder: Discovery and Analysis of the “Fertile Ground” of COVID-19 Vaccine Hesitancy
No full textAnti-vaccine advocates have long engaged in a harmful and baseless campaign that ties infertility to vaccines. Preliminary analysis of a large, real-time data collection of Twitter posts that filtered for COVID-19 vaccine and fertility content revealed a surprising moment when, after the vaccines rolled out, anti-vaccine advocates made a new tie to menstrual health not previously seen in anti-vaccine advocacy. We traced the tie to a co-opting of reports commencing soon after vaccines were distributed when people began to report menstrual anomalies—anomalies that would be alarming unless they could be confirmed to be a temporary side effect. These reports, which were attempts to cross-check experiences with others, soon became new sites of “convergence” where information exchange became disordered. Discourse analysis describes how a politicized debate around vaccines, reproductive health, the medical establishment, and the validity of lived experiences was differently argued. This disordered information space can be further characterized by three waves of “social convergence” of people with varying intentions and knowledge. Furthermore, a verification analysis of international popular press articles revealed a long delay before medical groups addressed the link anywhere in the world. Meanwhile, worrisome links between vaccines and other health matters—myo- and pericarditis—were rapidly confirmed with their attendant fears managed. One year after vaccines were distributed, insufficient messaging to women and menstruators persisted; meanwhile, disinforming behaviors were fueled by worry and the ready presence of anti-vaccine activists, illustrating how marginalized topics provide “fertile ground” for information disorder. Results contribute theoretically to our understanding of information disorder, with additional lessons for public health communication and disinformation mitigation