Computer Supported Cooperative Work最新文献

The rapidly expanding rural community (often called rurban) is a new place for CSCW with unique sociogeographic characteristics that give rise to the need for adapted participatory practices. Socially Engaged Art (SEA) offers pluralistic and critical approaches to participative rurban CSCW to meet this need. This paper provides a case study of SEA-informed CSCW in an Irish rurban community. An online digital art summer school was delivered to young residents of Northrock using freely available digital collaboration and creation tools. Young people in rurban communities are navigating personal, social and political issues in a complex and evolving environment. In this summer school, SEA was applied to explore these issues through the creation and sharing of digital art on participant experiences and hopes for the future. The summer school hoped to promote critical thinking, confrontational dialogue and greater mutual understanding. We found that rapid creation and critique of a range of digital art expressions of social issues accessed nuanced and contradictory experiences, bringing them into dialogue with each other while supporting mutual understanding and new perspectives on rurban place and identity as they evolve. We propose integrating SEA into CSCW with young people in liminal and transitional communities such as the rurban to explore complex lived experiences in pursuit of more equitable futures and sustainable community expansion. We also draw attention to the usefulness of readily available digital and online tools in supporting CSCW in creative workshop situations.

AI-based applications are increasingly used in knowledge-intensive expert work, which has led to a discussion regarding their trustworthiness, i.e., to which degree these applications are ethical and reliable. While trust in technology is an important aspect of using and accepting novel information systems, little is known about domain experts’ trust in machine learning systems in their work. To provide a real-life, empirical perspective on the topic, this study reports findings from an interview study of accounting practitioners’ (N = 9) trust in intelligent automation in their work. The findings underline the holistic nature of trust, suggesting that contextual and social aspects, such as participatory design practices, shape domain experts’ trust in intelligent automation. For instance, the participants emphasize their contribution to product development and open communication with the system developers. In addition, the findings shed light on the characteristics of domain experts as technology users, such as the necessity of situation-specific expert knowledge when evaluating the systems’ reliability. Thus, our findings suggest that trust in intelligent automation manifests at different levels, both in human-AI interaction and interpersonal communication and collaboration. This research contributes to the existing literature on trust in technology, especially AI-powered applications, by providing insights into trust in intelligent automation in expert work.

The digitization of financial activities in consumers' lives is increasing, and the digitalization of invoicing processes is expected to play a significant role, although this area is not well understood regarding the private sector. Human-Computer Interaction (HCI) and Computer Supported Cooperative Work (CSCW) research have a long history of analyzing the socio-material and temporal aspects of work practices that are relevant for the domestic domain. The socio-material structuring of invoicing work and the working styles of consumers must be considered when designing effective consumer support systems. In this ethnomethodologically-informed, design-oriented interview study, we followed 17 consumers in their daily practices of dealing with invoices to make the invisible administrative work involved in this process visible. We identified and described the meaningful artifacts that were used in a spatial-temporal process within various storage locations such as input, reminding, intermediate (for postponing cases) buffers, and archive systems. Furthermore, we identified three different working styles that consumers exhibited: direct completion, at the next opportunity, and postpone as far as possible. This study contributes to our understanding of household economics and domestic workplace studies in the tradition of CSCW and has implications for the design of electronic invoicing systems.

Along with a number of other computing technologies, cloud computing services are increasingly being promoted as a way of enabling openness, reproducibility, and the acceleration of scientific work. While there have been a variety of studies of the cloud in terms of computing performance, there has been little empirical attention to the changes going on around cloud computing at the level of work and practice. Through a qualitative, ethnographic study, we follow a cosmology research group’s transition from a shared high performance computing cluster to a cloud computing service, and examine the cloud service as a coordinative artifact being integrated into a larger ecology of existing practices and artifacts. We find that the transition involves both change and continuity in the group’s coordinative work and maintenance work, and point out some of the effects this adoption has on the group’s larger set of practices. Finally, we discuss practical implications this has for the broader adoption of cloud computing in university-based scientific work.

Abstract

In this paper, we analyze the efforts of a public healthcare business intelligence unit to implement and disseminate their data products and thus make the healthcare organization more data-driven. The paper is based on ethnographic fieldwork in a healthcare business intelligence unit (the BIU) whose mission is to improve healthcare efficiency and quality by making data and data analyses available to healthcare managers and staff. Their primary products consist of a data warehouse and Data Reports, both providing curated and daily updated data for healthcare staff to analyze and visualize. We conceptualize these Data Reports and the data warehouse as boundary objects through which cooperation around data between various users is achieved. Our focus is on the BIU’s efforts to introduce and promote the use of boundary objects to healthcare staff while providing them with the competencies to use them in practice. Efforts that we conceptualize as collaborative boundary work through which a new joint field of working with data is created between the BIU and healthcare staff. Based on the analysis of the ethnographic fieldwork, we point to three important aspects in creating this new joint field: Mobilizing interest, building local capabilities, and propagating data locally. The paper makes three contributions: It adds to our understanding of how new joint fields can be cultivated through collaborative boundary work to make healthcare data-driven; it contributes to the emergent field of data work studies; and finally, it adds to the largely normative literature on business intelligence and self-service business intelligence through an ethnographic analysis of its efforts to make healthcare data-driven.

The COVID-19 pandemic brought wide-ranging, unanticipated societal changes as communities rushed to slow the spread of the novel coronavirus. In response, mutual aid groups bloomed online across the United States to fill in the gaps in social services and help local communities cope with infrastructural breakdowns. Unlike many previous disasters, the long-haul nature of COVID-19 necessitates sustained disaster relief efforts. In this paper, we conducted an interview study with online mutual aid group administrators to understand how groups facilitated disaster relief, and how disaster relief initiatives developed and maintained over the course of the first year of COVID-19. Our findings suggest that the groups were crucial sources of community-based support for immediate needs, innovated long-term solutions for chronic community issues and grew into a vehicle for justice-centered work. Our insights shed light on the strength of mutual aid as a community capacity that can support communities to collectively be more prepared for future long-haul disasters than they were with COVID-19.