Some level of digital technology design skills and competencies is important in any profession but in their education and work life this is often ignored. We explore the potential of Educational Participatory Design (EPD) in transforming work practices within diverse disciplines. This is done through a transdisciplinary case where EPD was used as an approach for transforming language teacher education seen to respond too slowly to technological advancements in society and work life. Based on our findings, we propose EPD as a useful approach for building the design agency of future professionals with various disciplinary and professional backgrounds. In the context of real-life work practice with students as future workers, EPD invites them to act as 'designers' envisioning novel practices and technologies for their own work, engaging their 'users' in the PD processes. EPD as a novel methodological approach integrates design with work practice learning and education and therefore, we suggest, belongs to the core expertise of CSCW research and design interested in the digital transformation of work practices.

The 'digital plumber' is a conceptualisation in ubicomp research that describes the work of installing and maintaining IoT devices. But an important and often understated element of IoT solutions is their long-term socio-technical infrastructural nature, and therefore long-term installation and maintenance needs. This adds complexity to both the practice of digital plumbing and to the work of design that supports it. In this paper we study a commercial company producing and installing IoT alarm systems. We examine video recordings that capture how a digital plumbing representative and software development team members make changes to both the installation process and supporting technology. Our data enables us to critically reflect on concepts of infrastructuring, and uncover the ways in which the team methodically foreground hidden elements of the infrastructure to address a point of failure experienced during field trials of a new version of their product. The contributions from this paper are twofold. Firstly, our findings build on previous examples of infrastructuring in practice by demonstrating the use of notions of elemental states to support design reasoning through the continual foregrounding and assessment of tensions identified as key factors at the point of failure. Secondly, we build on current notions of digital plumbing work. We argue that additional responsibilities of 'reporting failure' and 'facilitation of change' are part of the professional digital plumbing role and that commercial teams should support these additional responsibilities through collaborative troubleshooting and design sessions alongside solid communication channels with related stakeholders within the product team.

Eco-conferences like COP26 in Glasgow (UK) in 2021 have brought the debate on energy consumption and climate change to the fore. Given that a third of the energy produced worldwide is consumed in the home, it is pertinent to investigate how households use emerging technologies that allow households to monitor their energy consumption. This paper investigates how Danish households use green IT to monitor and manage their energy use and studies the related meaning householders attach to the green IT. We present qualitative data collected through interviews with 14 households, electric car owners mostly, who have adopted an application to monitor green energy availability - and its derived consumption. The paper highlights these householders' green energy monitoring practices with an emphasis on the meaning they make of the green IT application they used. Our study found that households can use more green energy without interacting continuously with the green IT application. This contrasts with a common assumption in the field of green IT design that consumers must continuously engage with the green IT to consume more green energy. We also posit that including householders in future green IT design is paramount for designing successful green IT applications. Finally, this paper calls for household energy consumption studies to view energy consumption as a service where specific practices are matched to energy sources - rather than viewing energy availability as a solitary incident.

Mental health home treatment is a service where patients with severe mental illnesses are visited by a multiprofessional psychiatric care team at their homes. In Germany, inpatient-equivalent home treatment as a specialized form of home treatment has been offered by hospitals since 2018. In its early stage, the shift of care activities out of the hospital toward the patient's home opened up a new set of problems and blurred the existing boundaries. This ethnographic study follows two home treatment teams and provides an in-depth description of their work. The findings are presented by three themes from our data analysis: (i) closeness and familiarity; (ii) bridging the distance; and (iii) tensions of proximity and distance. We then discuss the findings with the guiding lens of , which refers to the ambiguity of proximity and distance. The contribution for computer-supported cooperative work (CSCW) is twofold; on the one hand, we provide a detailed account of mental health home treatment, and on the other hand, we outline a conceptual model that helps to describe and analyze similar cases. We conclude the paper with directions for further research.

User involvement is widely recognized as best practice in the development of information technology (IT) systems. In large-scale IT projects, the involvement of users and other stakeholder groups is typically in the form of representatives, as opposed to the direct (in-person) participation characteristic for smaller projects. The potential new sharing of power that representative participation entails vis-à-vis direct stakeholder involvement, and the implications of such a shift, are an important discussion in the context of participatory design. This paper extends and adds to previous work on this subject. Drawing on stakeholder interviews conducted as part of a case study of an electronic health record implementation project in Norway, this paper seeks to describe and analyze problems that can arise with representative participation in a large-scale project. Our focus is on an observed decline of interaction between health professionals participating actively in the project and their advisory units consisting of colleagues without a formal project role. The paper describes how the project's structural arrangements might explain this decline. The paper also describes how the participating health professionals' involvement of the advisory units at regular intervals early in the project (broad involvement) was replaced by more ad hoc and competence-oriented approaches (narrow involvement). We further use the organizational structure of democracies as the basis for two analogies, (I) participants-as-political-representatives and (II) participants-as-technocrats. The observed decline in interaction between the participating health professionals and their advisory units can be seen as a transition in role from user representative to technocrat. Generalizing from the case, we suggest that (1) a project's structure strongly affects the possibilities of participating users to consult other users (e.g., non-participating colleagues) about issues concerning the design solution, (2) a project's structure conditions the role of participating users and who, or what, they represent, and (3) representative participation requires rethinking a project's structure.

Working from vague client instructions, how do audio producers collaborate to diagnose what specifically is wrong with a piece of music, where the problem is and what to do about it? This paper presents a design ethnography that uncovers some of the ways in which two music producers co-ordinate their understanding of complex representations of pieces of music while working together in a studio. Our analysis shows that audio producers constantly make judgements based on audio and visual evidence while working with complex digital tools, which can lead to ambiguity in assessments of issues. We show how multimodal conduct guides the process of work and that complex media objects are integrated as elements of interaction by the music producers. The findings provide an understanding how people currently collaborate when producing audio, to support the design of better tools and systems for collaborative audio production in the future.

In navigation applications, Artificial Intelligence (AI) can improve efficiency and decision making. It is not clear, however, how designers should account for human cooperation when integrating AI systems in navigation work. In a novel empirical study, we examine the transition in the maritime domain towards higher levels of machine autonomy. Our method involved interviewing technology designers (n = 9) and navigators aboard two partially automated ferries (n = 5), as well as collecting field observations aboard one of the ferries. The results indicated a discrepancy between how designers construed human-AI collaboration compared to navigators' own accounts in the field. Navigators reflected upon their role as one of 'backup,' defined by ad-hoc control takeovers from the automation. Designers positioned navigators 'in the loop' of a larger control system but discounted the role of in-situ skills and heuristic decision making in all but the most controlled takeover actions. The discrepancy shed light on how integration of AI systems may be better aligned to human cooperation in navigation. This included designing AI systems that render computational activities more visible and that incorporate social cues that articulate human work in its natural setting. Positioned within the field of AI alignment research, the main contribution is a formulation of human-AI interaction design insights for future navigation and control room work.

As U.S. healthcare organizations transition to value-based healthcare, they are increasingly focusing on supporting patients who have difficulties managing chronic care, including mental health, through the growing role of care managers (CMs). CMs communicate with patients, provide access to resources, and coach them toward healthy behaviors. CMs also coordinate patient-related issues internally with healthcare practitioners and externally with community organizations and insurance providers. While there have been many interaction design studies regarding the work of clinical and non-clinical healthcare providers and how best to design support systems for them, we know little about the work of CMs. In this study, we examine the role of CMs, particularly focusing on their work to support patient mental health, through interviews with 11 CMs who are part of a large Midwestern U.S. health system. Workflow observations were conducted to supplement the interview data. We describe the role of CMs and identify challenges that they face in supporting patient mental health. A key challenge is a high degree of role ambiguity in this professional role. We discuss sociotechnical implications to better support care delivery processes and technologies for the delivery of mental health services by CMs.

As social media become a staple for knowledge discovery and sharing, questions arise about how self-organizing communities manage learning outside the domain of organized, authority-led institutions. Yet examination of such communities is challenged by the quantity of posts and variety of media now used for learning. This paper addresses the challenges of identifying (1) what information, communication, and discursive practices support successful online communities, (2) whether such practices are similar on Twitter and Reddit, and (3) whether machine learning classifiers can be successfully used to analyze larger datasets of learning exchanges. This paper builds on earlier work that used manual coding of learning and exchange in Reddit 'Ask' communities to derive a coding schema we refer to as 'learning in the wild'. This schema of eight categories: explanation with disagreement, agreement, or neutral presentation; socializing with negative, or positive intent; information seeking; providing resources; and comments about forum rules and norms. To compare across media, results from coding Reddit's AskHistorians are compared to results from coding a sample of #Twitterstorians tweets ( = 594). High agreement between coders affirmed the applicability of the coding schema to this different medium. LIWC lexicon-based text analysis was used to build machine learning classifiers and apply these to code a larger dataset of tweets ( = 69,101). This research shows that the 'learning in the wild' coding schema holds across at least two different platforms, and is partially scalable to study larger online learning communities.

Social media has both been hailed for enabling social movements and critiqued for its affordances as a surveillance infrastructure. In this work, I focus on the latter by analyzing research, products, and discourses around the recent history of civil unrest prediction based on social media data and other public data sources, thereby giving insights into current and often opaque protest surveillance and forecasting practices. Technologies to monitor individuals and groups online have been developed for instance to predict US protests following the election of President Trump in 2016 and labor strikes across global supply chains. These works are part of an emerging computer science research field focused on "civil unrest prediction" dedicated to forecasting protests across the globe (e.g., Indonesia, Brazil, and Australia). Foremost I focus on scholarly literature as my unit of analysis, but also other artifacts discussing or detailing applications for companies, organizations or governments are examined. I provide a conceptualization of civil unrest prediction technology by illustrating data sources, features and methods used, and how prediction and detection are necessarily entangled. Then I show how various kinds of unrest activity are framed as risks to be fixed or averted for various actors with differing interests such as the military, law enforcement, and various industries. Finally, I critically unpack justifications and ascribed benefits of the technology and point to how the perspectives of protestors are almost completely absent. My analysis shows a critical need for regulation centering activists and workers, and reflection within academia, particularly in the fields of computer and data science, on the ethics and politics of protest research and ensuing technological applications.

The increasing digitalization and automatization in the manufacturing industry as well as the need to learn on the job has reinforced the need for much more granular learning, which has not yet impacted the design of learning materials. In this regard, granular learning concepts require situated learning materials to support self-directed learning in the workplace in a targeted manner. Co-creation approaches offer promising opportunities to support employees in the independent design of such situated learning materials. Using an action-design research (ADR) approach, we derived requirements from co-creation concepts and practice by conducting focus group workshops in manufacturing and vocational training schools to develop design principles for a co-creation system that supports employees through the creation process of work-process-related learning material. Consequently, we formulate four design principles for the design of a collaborative learning and qualification system for manufacturing. Using an innovative mixed methods approach, we validate these design principles and design features to demonstrate the success of the developed artifact. The results provide insights regarding the design of a co-creation system to support learners in the co-creation of learning material with the consideration of cognitive load (CL). Our study contributes to research and practice by proposing novel design principles for supporting employees in peer creation processes. Furthermore, our study reveals how co-creation systems can support the collaborative development of learning materials in the work process.

This article provides a novel perspective on the use and reuse of scientific data by providing a chronological ethnographic account and analysis of how a team of researchers prepared an astronomical catalogue (a table of measured properties of galaxies) for public release. Whereas much existing work on data reuse has focused on information about data (such as metadata), whose form or lack has been described as a hurdle for reusing data successfully, I describe how data makers tried to instruct users through the processed data themselves. The fixation of this catalogue was a negotiation, resulting in what was acceptable to team members and coherent with the diverse data uses pertinent to their completed work. It was through preparing their catalogue as an 'instructing data object' that this team seeked to encode its members' knowledge of how the data were processed and to make it consequential for users by devising methodical ways to structure anticipated uses. These methods included introducing redundancies that would help users to self-correct mistaken uses, selectively deleting data, and deflecting accountability through making notational choices. They dwell on an understanding of knowledge not as exclusively propositional (such as the belief in propositions), but as embedded in witnessable activities and the products of these activities. I discuss the implications of this account for philosophical notions of collective knowledge and for theorizing coordinative artifacts in CSCW. Eventually, I identify a tension between 'using algorithms' and 'doing science' in preparing data sets and show how it was resolved in this case.

War begets crises that are among the most urgent areas requiring help from the international HCI/CSCW community; yet too few scientists address it using context-based, participatory field methods and by engaging in country and regionally based, longitudinal partnerships. Drawing on the author's ongoing eight-year engagement as a design ethnographer with UNHCR Jordan and region for the Syrian War, this paper discusses Humanitarian Research as a framework for guiding HCI/CSCW research in conflict zones with displaced persons. Based on the principle of "People First, Data Second," Humanitarian Research is explained with illustrative examples along with the nature of war and UNHCR's protection mandate, the research challenges and ethical roles of HCI scientists in conflict zones and how these roles entwine with refugee stakeholders, NGOs, country actors, and university IRBs.

Large-scale generic systems are typically adapted to local practice through configuration. This is especially important in healthcare, which involves a plurality of institutions and users. However, the decision to acquire a generic system in public healthcare is typically founded on regional and national health policy goals, which often are translated into various forms of standardization. As a result, national and regional health policy interests may stand in contrast to interests on the local level. Therefore, we analyze how national and local concerns are weighed against each other in the preparations for implementing large-scale generic systems in healthcare. We explore what role configuration plays and what the prospects are for long-term development. We contribute with insight into how the organizational consequences of generic systems are formed already in the preparation phase and point to how configuration easily results in standardization, thereby basically privileging national and regional health goals at the expense of local needs. Empirically, we focus on the preparations for implementing the Epic electronic health record in Central Norway.

The shelter-in-place orders across the U.S. in response to the COVID-19 pandemic forced many relationships once sustained by in-person interaction into remote states through computer-mediated communication (CMC). Work, school, holidays, social engagements, and everyday conversations formerly experienced through rich and contextual in-person interactions instead have taken place on messaging, voice, and video chatting platforms that diminish or altogether lack many social cues and other qualities critical to social interaction. The difficulties feeling connected to one another observed during this period have stressed the need for novel forms of communication that enable deeper interactions. Social biosensing, the interpersonal sharing of physiological information, has shown promise facilitating social connection at a distance. In the present research we document the experiences of nine pairs of friends (N = 18) who navigated living through a shelter-in-place order, reporting on their experiences sharing their electrodermal activity (EDA) in response to short videos. Participants described the artificial and unnatural nature of communicating using typical forms of CMC and a range of interpretations of EDA as both emotional response and as representative of personal characteristics. We implemented a phased approach to study the temporal nature of forming an understanding of unfamiliar yet intimate data like EDA. Our results indicate typologies of meaning-making processes: "stablers", "broadeners", and "puzzlers". We also interpreted our findings through the lens of intersubjectivity, analyzing how analogical apperception and dialogical interaction both play a role in participants' meaning-making about their own and their partner's biosensory information. We conclude with implications from this work pertinent to intersubjectivity theorists, social biosensing researchers, and CMC system designers and developers.

While CSCW researchers have studied collaboration across distance for more than two decades, the scale and context of geographically distributed work during the pandemic is unprecedented. Working from home as the default setting during the COVID-19 pandemic provides a unique opportunity for CSCW research to explore and develop new understandings of what it entails to engage in distributed collaborative work during a global crisis. In this paper, we revisit the distance framework, originally developed by Olson and Olson in 2000, through empirical data collected during the critical moments where COVID-19 was declared a pandemic and the world shut down: namely March 2020. We use the data to interrogate the distance framework and to extend it with a new dimension - Crisis Readiness. Crisis Readiness stipulates that for organizations to successfully respond to crises, four factors are required: 1) the ability to respond fast with dramatic measures; 2) the ability to supply adequate infrastructure to their employees; 3) the ability to adapt work practice responding to new work and life conditions; and 4) the ability to handle multiple and diverse interruptions both at the individual and organizational levels. Our contribution to CSCW research is a revised distance framework, which demonstrates that for geographically distributed work to be successful during a global crisis, cooperating actors need to achieve Common Ground, engage in different types of coupled work, be ready for collaboration and collaboration technology - and lastly, work in an organization which demonstrates Crisis Readiness.

In this essay, I take a postphenomenological perspective on tracing work transformation during the pandemic, arguing that this perspective helps develop novel sensitivities to the nature of work. Postphenomenology brings into high relief the view on work as reliant on sensory performances and embodied relations, complementing already rich accounts of work being reliant on discursive interactions, social order, and spatiality. The focus of postphenomenology on 'non-neutrality' and the multistability of technology provides a useful lens for revealing a multiplicity of changes, encompassing both augmentations and reductions of work experiences and evaluating their consequences for the actors involved. Finally, its attention to the transparency of technology amidst the embodied experiences gives a handle on the role of materiality in the performance of work and may be taken up as informing design efforts. A case study vignette of physiotherapy work during lockdown is offered as an illustration of applying some of the postphenomenological ideas.

When COVID-19 led to mandatory working from home, significant blind spots in supporting the sociality of working life-in the moment and over time-were revealed in enterprise video meetings, and these were a key factor in reports about videoconferencing fatigue. Drawing on a large study ( = 849) of one global technology company's employees' experiences of all-remote video meetings during the COVID-19 pandemic, we use a dialectic method to explore the tensions expressed by employees around effectiveness and sociality, as well as their strategies to cope with these tensions. We argue that videoconferencing fatigue arose partly due to work practices and technologies designed with assumptions of steady states and taken-for-granted balances between task and social dimensions of work relationships. Our analysis offers a social lens on videoconferencing fatigue and suggests the need to reconceptualize ideas around designing technologies and practices to enable both effectiveness and sociality in the context of video meetings.

Across the world, large swaths of society closed in response to the COVID-19 (C-19) pandemic, transforming the provision of government services, including welfare. The shift to remote work afforded a glimpse of what a future digitized public sector might look like. In Denmark, employment assistance went fully remote in spring 2020 to prevent the spread of C-19. Caseworkers assessed unemployed individuals' needs for welfare benefits over the phone instead of at the physical job center. With this change, caseworkers could no longer rely on nonverbal communication, such as physical cues (e.g., the appearance of an unemployed individual), in their assessment practice. Although they are not explicitly described in the formal work process, caseworkers report that such cues influence their assessment of an individual's challenges related to their unemployment. Taking a qualitative approach, we conducted 60 telephone interviews with 6 caseworkers across 3 Danish job centers during the first wave of the pandemic. Later, during the second wave of the pandemic (August 2020-June 2021), we conducted observational studies (22.5 h) including on-site interviews in two job centers where caseworkers had returned to work having consultations with unemployed individuals both remotely and co-located. During this second-wave period we also conducted new interviews ( = 18) with the caseworkers from the first part of the study. The contribution of this paper is an empirical description of how casework changes when it shifts from co-located to remote consultations, focused on two factors: (1) the role of physical cues and how caseworkers rely on these cues to communicate with and assess the individual, and (2) documentation practices, and how earlier documentation became more important when caseworkers lacked access to physical cues. We contribute to CSCW research by showing that although implicit information about the individual is valuable for caseworkers, it is not problem-free, and therefore we argue that there is a need to find new ways to assess individuals, in particular interpreting implicit or un-spoken information, as the complicated use of physical cues can tip over to become a matter of bias.

The coordination of maintenance work in manufacturing poses a crucial productivity factor in small and medium-sized companies (SMEs) but often seems to be rather neglected in practice as well as in much of the literature on maintenance. We shed light upon maintenance coordination work by presenting a design case study conducted in an SME over approximately two years. We took a participatory design-oriented approach, involving all roles on the shopfloor affected by maintenance work. In three major iterations during the pre-study, a release-ready prototype was developed and implemented by the users over the course of one year. The evaluation of the tool showed how a new and mostly unintended practice of information flow, error reporting, and prioritization emerged such that, for instance, foremen becoming a central node of communication, formal prioritization shifting away from higher management, and actual prioritization being done by maintainers. This paper contributes to the body of CSCW work on maintenance practice in SMEs by presenting detailed empirical findings on the coordination work of maintainers, as well as the evaluation of socio-technical interventions into maintenance practices.