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This forum focuses on the conditions and futures of the labor underpinning technology production and maintenance. We welcome standalone articles as well as interviews and conversations about all tech labor within the global supply chain of digital ...

Why do social computing projects aimed at alleviating social inequality fail? This paper investigates this question through a qualitative interview study with 25 individuals working to address the problem of wage theft in the United States (US) context. ...

Play is an essential part of the human experience and can be found throughout the lifespan. While play has long been of interest to the HCI community, research has often focused on the technologies supporting game play, the potential outcomes of play (...

The COVID-19 pandemic was a time of unexpected isolation for many, as well as a time fraught with uncertainty. In this article, we explore how many turned to playful online communities across a number of social media platforms as a place of connection ...

An inside look at developer advocacy during the COVID-19 pandemic---from creating authenticity to keeping the social life around code alive while the world stayed home.

Five years ago, our paper, "Would You Be Mine: Appropriating Minecraft as an Assistive Technology for Youth with Autism" won Best Paper at ASSETS 2016 (Ringland et al. 2016). In that paper, we reported on our ethnographic engagement with a community for ...

The interpretability or explainability of AI systems (XAI) has been a topic gaining renewed attention in recent years across AI and HCI communities. Recent work has drawn attention to the emergent explainability requirements of in situ, applied ...

Ground-truth labeling is an important activity in machine learning. Many studies have examined how crowdworkers apply labels to records in machine learning datasets. However, there have been few studies that have examined the work of domain experts when ...

Human labeling of training data is often a time-consuming, expensive part of machine learning. In this paper, we study "batch labeling", an AI-assisted UX paradigm, that aids data labelers by allowing a single labeling action to apply to multiple ...

The use of intelligent machines—digital technologies that feature data‐driven forms of customization, learning, and autonomous action—is rapidly growing and will continue to impact many industries and domains. This is consequential for ...

The societal implications of computing are far-reaching. Whether it is building technologies that might save lives in the medical sector, intuitive apps that can transform personal routines at scale, or enterprise systems that ease and enhance the ...

This paper considers sensemaking as it relates to everyday software engineering (SE) work practices and draws on a multi-year ethnographic study of SE projects at a large, global technology company building digital services infused with artificial ...

We reflect on how practices of care configure workplace participatory design (PD) efforts by locating ways in which care manifests in the ambitions of actors as they confront their ambivalent relations to a smart workplace technology. We explore these ...

One domain application of artificial intelligence (AI) systems is humanitarian aid planning, where dynamically changing societal conditions need to be monitored and analyzed, so humanitarian organizations can coordinate efforts and appropriately support ...

This paper draws attention to the growing adoption of web and mobile apps in the enterprise, typically supported by digital storage in the cloud. While these developments offer several advantages, they also pose challenges for workers who must ...

Explainable Artificial Intelligence (XAI) has taken off in recent years, a field that develops techniques to render complex AI and machine learning (ML) models comprehensible to humans. Despite the growth of XAI techniques, we know little about the ...

This demo presents ModelLens, an interactive system designed to support data science teams in their model improvement practices. A central component of improving models is analyzing model errors, often incorporating feedback on the model's precision and ...

Process has been a concern since the beginning of CSCW. Developments in sociotechnical landscapes raise new challenges for studying processes (e.g., massive online communities bringing together vast crowds; Big Data technologies connecting many through ...

We draw on a qualitative study of homeowners who engage in do-it-yourself (DIY) home repair and introduce "home worlds" as a conceptual lens to understand how interactions with the home as a built environment (local and mechanical engagements with its ...