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Exploring collaborative practices in qualitative analysis: The case of GTM
No full textThis doctoral research project aims to study the collaborative practices of social scientists who use Grounded Theory Methodology (GTM). The main objective is to
analyze how these researchers organize their collaboration within the analysis process of GTM. The study will first review the literature to understand the evolution of cooperation within GTM, which includes cooperative data collection, joint theorizing, and peer validation. A field study will then focus on social scientists at the University of Liège, including observations, interviews, and scenarios. This fieldwork will be enriched by including design sciences researchers from the Université de Technologie de Troyes. In the final phase of this research, the potential of artificial intelligence and data
visualization in survey assistance, case clustering, and theorizing will be explored. To
overcome the current limitations of CAQDAS software, a proposal for a collaboration tool aligned with GTM practices will be put forward. This research will contribute to a deeper understanding of researchers’ GTM collaboration practices and tools
Understanding the changes in railway maintenance work: a sociotechnical perspective
No full textRailway maintenance work is relatively unknown to the general public, and sociologists have shown little interest in it. It is an outdoor job, punctuated by interventions, equipped with a lot of artifacts and distributed on the rails. This paper presents my PhD work, at the intersection between the concerns of the sociology of work, concerned with studying and characterizing this professional activity, and the CSCW, particularly around the method of technology probes and discussions between ethnography and design
Exploring the Ethical Dilemmas of Generative AI in Chinese Cyberspace: A Case Study of the “Cyber 10” Online Community
Full text linkThis study examines the ethics of generative AI from a sociological perspective by analyzing the opinions of members of the “Cyber 10 Certification Station” online community on Weibo, one of the most popular social media sites in China. “10” is a homophone of “corpse,” referring to feeding the corpse of artistic work to generative AI systems. How do grassroots Internet users in China perceive the ethics of generative AI? Using thematic analysis and content analysis, we investigate the collection of the best posts of the community. Our findings revealed several key concerns towards generative AI, including copyright infringement, privacy issues, fake news, the use of generative AI in pornography, and threats to the livelihood of the creatives. By gaining insights into the opinions of Chinese practitioners and users, a frequently neglected population in HCI research on AI, our study contributes to ongoing discussions about AI ethics in the CSCW community
Design Indirections
No full textDigital products and services now commonly include algorithmic personalization or recommendation features. This has raised concerns of reduced user agency and their unequal treatment. Previous research hence called for increasing the participation of, among others, designers in the development of these features. To achieve this, researchers have suggested the development of better educational material and tools to enable prototyping with data and machine learning models. However, previous studies also suggest designers may find other ways to impact the development and implementation of such features, for instance through collaboration with data scientists. We build on that line of inquiry, through 19 in-depth interviews with designers working in small to large international companies to investigate how they actually intervene in shaping products including algorithmic features. We outline how designers intervene at different levels of the algorithmic systems: at a technical level, for instance by providing better input data ; at an interface or information architecture level, sometimes circumventing algorithmic discussions ; or at a organizational level, re-centering the outcome of algorithmic systems around product-centric questions. Building upon these results, we discuss how supporting designers engagement and influence on algorithmic systems may not only be a problem of technical literacy and adequate tooling. But that it may also involve a better awareness of the power of interface work, and a stronger negotiation skills and power literacy to engage in strategic discussions
An ECSCW 2024 Panel in honour of Prof Dr Volkmar Pipek
No full textWe propose a panel at ECSCW 2024 in honour of Prof Dr Volkmar Pipek, who passed away on January 6, 2024. Prof Dr Pipek made many significant contributions to the field of CSCW and to ECSCW in particular, and the panel will be a way to discuss the impact and legacy of his work
Social Media Influencers and Consumer Behavior: Online Shopping Trends among Saudi Women
No full textThrough empirical investigations of collaborative practices, this research seeks to dissect the influence of social media influencers on the online shopping behaviours of Saudi women, a topic that has been relatively understudied in the existing literature. The objective is to advance the domains of CSCW and Human-Computer Interaction (HCI) by investigating the consumer online shopping practices, particularly how they are influenced by social media influencers and cultural contexts. It aims to understand how cultural and technical aspects impact digital shopping experiences in this specific context. Saudi Arabia, known for its unique blend of traditional and contemporary elements, provides an excellent context for studying the impact of the design and influencer marketing on women’s online shopping purchase decisions. The study explores the impact of cultural perspectives, especially from Saudi Arabian culture, on HCI design with the goal of improving the inclusivity and worldwide relevance of technological solutions. This research strengthens the field of HCI by highlighting the need of considering cultural sensitivity in design. Moreover, it enriches our understanding of consumer behaviours across different global contexts, emphasizing the insights from non-Western perspectives such as those in Saudi Arabia
Analysing and visualising the rhythms and flows of hybrid work
No full textFollowing the COVID-19 pandemic, there has been a growth in hybrid work arrangements in organisations. With this greater flexibility, hybrid workgroups face the challenge of increasingly complex levels of coordination, communication, and articulation work to organise the flow of work. To understand how these recent transformations shape the ways in which collaborative joint work takes place, the aim of this research is to provide more contextual analyses and rich visualisations of the rhythms and flows of joint work for hybrid workgroups. The exploratory study investigates the flow of synchronous work, the work locations and how the composition of workgroup members influences the daily work organisation. It explores the complex assemblages of people, technologies, and work contexts with a focus on the transitions between physical and digital workspaces. This requires novel methods capable of providing contextual richness over a long period. Hence, one aspect of this work is to address the methodological challenge of combining rich ethnographic data and methods with the scale of digital trace data analytics and computational methods. A longitudinal diary study will be conducted, designed to act as a bridge between both approaches, which will be enriched with digital trace data from selected collaboration systems
Critical Perspectives of Infrastructures in the Field of Migrant Reception
Full text linkThis position paper discusses the convergence of literature on information infrastructures, critical theories of information and work relating to the field of reception in the context of migration. With evidence from existing literature and the preliminary findings of a pilot study based in Italy, the work of individuals and organizations within the field of migration is often filled with multi-faceted points of social support that are deeply embedded within one another. These points of social support pertain to employment, housing, food security, legal aid, language learning and so much more. Furthermore, those that are of migration background and seeking various forms of social support are entitled to the information they need in order to actively participate in their locality. Therefore, how do the systems involved in this work embody equity and inclusion? By specifically studying the information infrastructures involved in this work, one can gain perspective on the dynamic elements and practices of reception work and its reliance on technology and communication across a larger network of social support providers
The work to make coordination technologies work
Full text linkMotivated by the long-standing concern in CSCW with the state of digital coordination technologies and the ensuing accumulated empirical evidence of how the shortcomings of coordination technologies are handled in practice, this paper presents four examples of coordination technologies and coordinative artifacts that show how workers cope with their shortcomings through workarounds and hacks: CAD systems in architectural practice; the medical record in a cardiology clinic and the problem of ICD data; the IMDS database in the car industry; and the problems of making MRP systems work for the purpose of local planning. Concluding with the question what is required to support workers in their cooperative effort to ‘make coordination systems work’, the notion of computer support for ‘peer-to-peer plan management’ is introduced
“People are Way too Obsessed with Rank”: Trust System in Social Virtual Reality
No full textSocial Virtual Reality (VR) is growing in popularity and has drawn the attention of HCI academics. Social VR experiences harassment just like other online environments. The Trust System (TS) in VRChat, one of the most prominent social VR platforms, is designed to measure and indicate users’ trustworthiness in order to reduce toxicity in the platform. In this research, we analyzed data from “r/VRChat,” to understand how users perceive the system. We found that users interpret the system differently. Problems in its implementation cause distrust. The trust ranks, while intended to promote positive interactions, can actually lead to stereotyping and discourage communication between users of different ranks. The hierarchical structure within the ranks exacerbates discrimination and conflicts, particularly against the low-ranked users. We further discuss that trust ranks present challenges to newcomers and contribute to a competitive atmosphere that hinders the formation of less toxic norms. Finally, we provide implications for the future design of similar systems