Browsing by Author "Møller, Naja Holten"

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    Journal Article
    A Worker-Driven Common Information Space: Interventions into a Digital Future
    (Computer Supported Cooperative Work (CSCW): Vol. 29, No. 5, 2020) Møller, Naja Holten; Eriksen, Maren Gausdal; Bossen, Claus
    This paper empirically investigates a Common Information Space (CIS) established by medical secretaries so they could support each other during their workplace’s transition to a new comprehensive electronic health record, called the Healthcare Platform (HP). With the new system, the secretaries were expected to become partially obsolete, as doctors were to take on a significant load of the clerical work, such as documenting and coding. To handle their changing work situation, the medical secretaries set up an online support group in parallel to, but independent from, the official implementation support organization. The paper’s contribution is a characterization of the support group as a common information space (CIS), and analysis of the specific qualities of a worker-driven CIS as a forum for 1) articulation work required for re-grounding changing tasks and responsibilities, 2) archiving discussions (posts) and guidelines to further their collective interpretation, and 3) creating a space independent of management for employees to work out their new role in an organization in a situation of transition and change.
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    Conference Paper
    Confronting Asylum Decision-making through Prototyping Sensemaking of Data and Participation
    (Computer Supported Cooperative Work, 2021) Nielsen, Trine Rask; Katsikouli, Panagiota; Høgenhaug, Anna Højberg; Byrne, William Hamilton; Gammeltoft-Hansen, Thomas; Slaats,Tijs; Olsen, Henrik Palmer; Hildebrandt, Thomas Troels; Møller, Naja Holten
    The research outlined in this paper is focusing on understanding asylum decision-making and outcome variations across the Nordic countries. As a preliminary study, we extract data from an open dataset1 of decision summaries from the Danish Refugee Appeals Board. The approach we propose, offers points for discussion of how prototyping context and participation can help raise questions about such data and engage stakeholders. Combining the application of Machine Learning (ML) and Natural Language Processing (NLP) with participatory methods (e.g. critically designed artefacts) enable us to 1) move beyond “obvious” ML-application areas, 2) through sensemaking of data with stakeholders, and 3) co-develop approaches to data science from a CSCW-perspective.
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    Conference Paper
    CSCW and Algorithmic Systems
    (Proceedings of 20th European Conference on Computer-Supported Cooperative Work, 2022) Lampinen, Airi; Møller, Naja Holten; Sheikh, Riyaz; Ammitzbøll Flügge, Asbjørn; Kaltenhäuser, Kristin; Cakici, Baki
    The European Union announced recently that Europe should be a global hub and leader in the development of Artifcial Intelligence (AI) that guarantees safety and fundamental rights (European Commission (2021)). In this workshop, we investigate how we can approach this challenge from the perspective of Computer-Supported Cooperative Work (CSCW). Starting with a general conceptual focus on algorithmic systems and their increasing role in society, we are particularly interested in such systems in and as organisations, and the questions that come up when investigating them as part of complex, cooperative work practices. The full-day workshop, designed for up to 20 participants, advances a CSCW-perspective on algorithmic/AI systems by bringing together researchers within (and where possible beyond) the CSCW community who study algorithmic systems, with the aim of sharing ongoing research and connecting participants with others who share their research interests.
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    Journal Article
    Immersive Cooperative Work Environments (CWE): Designing Human-Building Interaction in Virtual Reality
    (Computer Supported Cooperative Work (CSCW): Vol. 30, No. 3, 2021) Bjørn, Pernille; Wulff, Mark; Petræus, Mathias Schmidt; Møller, Naja Holten
    We propose to extend CSCW research to include the design of buildings for cooperative work and to engage in designing Human-Building Interaction supporting cooperative practices. Concretely, we design and implement an immersive Cooperative Work Environment in Virtual Reality using real-life 3D architectural models of a hospital. We then invite healthcare practitioners to cooperatively resuscitate patients experiencing cardiac arrest in an immersive Cooperative Work Environment. This enabled the healthcare practitioners to identify critical functional errors (e.g. how asymmetric door design compromised resurrection practices in certain situations) that were not detected through other available architectural representations. Based upon our research, we identify three design dimensions essential to creating immersive Cooperative Work Environments: 1) the cooperative dimension, structured as the design of interdependence, articulation work, awareness, and grounding; 2) the professional work dimension, structured as the design of work practices, policies, artefacts, and professional language; and 3) the spatiotemporal dimension, structured as the design of loci and mobility. We also identified temporal orientation as a cross-spanning category relevant for all three design dimensions essential to participants’ navigating of the building. Temporal orientation in an immersive Cooperative Work Environment must accommodate the experience of sequential time, clock time, and action time.
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    Journal Article
    The Role of Physical Cues in Co-located and Remote Casework
    (Computer Supported Cooperative Work (CSCW): Vol. 32, No. 2, 2023) Flügge, Asbjørn Ammitzbøll; Møller, Naja Holten
    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 ( n  = 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.