This one-day workshop aims to map data and its inherent connections to work (of all kinds) across a landscape of ongoing crises. The workshop brings together researchers and practitioners with an interest in data work that underpins automation, algorithmic systems and organizational and societal strives toward datafication. The workshop provides a forum for interdisciplinary discussions around controversies related to data and work – and data work in particular – with the aim to expand the toolbox for working with data by proposing and developing critical approaches, drawing on the rich contributions of the growing body of literature on data work and datafication. Through spatial and temporal mapping exercises, the workshop intends to both trace paths through past crises into a contemporary moment, and towards more hopeful futures.

How To Train Your Drone (HTTYD) is a novel, embodied human-drone interaction demonstration that enables an individual to shape the mapping between a drone and their own body. By demonstrating this system we aim to give conference attendees the opportunity to, not only shape their own interactions with a drone, but to experience being shaped by it. We hope this demonstration inspires researchers to build systems that allow for this kind of mutual shaping. We believe that supporting such interactions is vital to real world deployments of robots as they leverage embodied ways that people can understand robots, their environments, and the people around them.

Friction - disagreement and breakdown - is an omnipresent aspect of conducting interdisciplinary research yet is rarely presented in formal research reporting. We analyse a performance-led research process where professional dancers with different disabilities explored how to improvise with an industrial robot, with the support of an interdisciplinary team of human-computer and human-robot interaction researchers. We focus on one site of friction in our research process; how to dance - safely - with robots? By presenting our research process, we exemplify the different ways in which we encountered this friction and how we reconfigured the research process around it. We contribute five ways in which we arrived at a generative ethical outcome, which may be helpful in productively engaging with friction in interdisciplinary collaboration.

Glitches - moments when technologies do not work as desired - will become increasingly common as industrially-designed robots move into complex contexts. Taking glitches to be potential sites of critical ethical reflection, we examine a glitch that occurred in the context of a collaborative research project where professional dancers with different disabilities improvised with a robotic arm. Through a first-person account, we analyse how the dancer, the robot, and the rest of the research team enacted ethics in the moment of glitch. Through this analysis, we discovered a deep and implicit ethical misalignment wherein our enactments of ethics in response to the glitch did not align with the values of the project. This prompted a critical re-engagement with our research process through which we forged a dialogue between different ethical perspectives that acted as an invitation to bring us back into ethical alignment with the project's values.

In this pictorial, we introduce a box with four card decks - focusing on settings, metaphors, methods, and caveats - designed to stimulate critical engagement with algorithmic systems from Nordic perspectives. We build upon the scholarship of Dumit [1, p. 604] who suggests that "games are interesting tools because they involve the game player creatively within a dynamic system, requiring them to make decisions under constraints", and, therefore, capturing the systemic and dynamic nature of a socio-technical system, while positioning actors clearly into a particular structure. We apply this perspective to algorithmic systems as complex socio-technical assemblages that commonly entail emergent behaviors and dynamics. This leverages the fact that games excel at capturing dynamic, action-oriented, and inherently conflicted aspects of systems [2].Today, algorithmic systems research often takes the form of critiquing systems-in-use. This leads to a crisis of imagination: rather than envisioning actively what algorithmic systems should be like, it is easy to feel hopeless and powerless amidst the problems of rapidly transforming digital societies. More broadly, dominant narratives and values - like the drive for scalability - dominate our attention. The effects of systems that have been scaled up globally, from search engines to social media and health records, are felt throughout societies. We use the notion of crisis of imagination to refer to the collective struggle to envision and articulate alternatives to seemingly inevitable AI-driven futures. The Nordic Perspectives on Algorithmic Systems card box is a tangible toolkit for responding to this crisis. It was created through workshops across Sweden, Denmark, and Finland, with the aim to destabilize hegemonic algorithmic narratives through situated and playful critique.Reflecting on the observation that discussions about algorithmic systems quickly transform into discussions about society, we offer our card box as an artefact that can facilitate articulating positive and purposeful ideas about desirable societies and algorithmic systems which promote them. After detailed examples about each deck, we document two example games created by university students with inspiration from the card decks. Just Sex reimagines a digital contraception application as a morally uneasy board game where players navigate algorithmic advice amid societal gender biases. YouTube Content Creation Game exposes tensions between creator autonomy and platform opacity. Experiences indicate the cards can help questioning and reframing power dynamics and embedding situated values, while still remaining bounded by folk theories that dominate our understanding of algorithmic technologies.Evidently, the Card Box does not solve' the crisis of imagination - not to even mention the polycrises surrounding us - but it serves to open room for shared reflection. Playful approaches are themselves a radical act at a time of crisis. By adopting Nordicness as a provocative caricature, we sidestep dominant technosolutionist framings to foster dialogues about what systems, values, and institutions we cherish and wish to sustain. The cards are a critical companion, a boundary object that researchers, designers, and other stakeholders can use to facilitate re-imagining algorithmic futures and alternatives.

How would you feel if you saw an image of yourself doing something you didn’t do? How would you feel knowing said image was created without your consent? For many people, especially women, these questions are not just hypothetical. Technological advances in Artificial Intelligence (AI), specifically Generative AI, have made it extremely easy and cheap to generate and distribute (non-consensual) synthetic images and videos that depict real people’s voices, faces, or bodies (i.e., deepfakes). Non-consensual synthetic imagery often depicts intimate and sexually explicit scenarios and is considered a form of sexual abuse. We demonstrate Photo BOO-th, an interactive installation designed to turn the creation of non-consensual intimate imagery into a visceral, creepy experience. Through this experience, we invite attendees to grapple with the questions above, discuss the societal harms associated with creating and distributing non-consensual synthetic imagery, and critique how consent is understood and enacted between people and technology.

We present a large-scale, qualitative interview study that examines how an intimate technology within reproductive health comes to be chosen and trusted as a mode of contraception and how its use is shared between partners. We conducted 133 semi-structured interviews with primary users of Natural Cycles, focusing specifically on its use as a digital contraceptive. Our interpretive analysis, first, sheds light on perceptions of risks and benefits, along with how, and by whom, the decision to adopt Natural Cycles got made. Second, we discuss participants’ and their partners’ gradual development of trust in the system, and how this intertwines with interpersonal trust. Third, we consider the shared use of Natural Cycles, including partner involvement in temperature tracking, the sharing of intimate data, and navigating specific choices and risks regarding sex and contraception. We make a primarily empirical contribution to Computer Supported Cooperative Work (CSCW) research on shared uses of technology and the sharing of intimate data, and highlight avenues for future work to foster understanding of intimate technologies and their shared use in relational settings.

Social exchanges are an essential part of our everyday lives, including face-to-face interpersonal relations, digitally mediated interpersonal communications, engagements with groups or associations offline or online, and interactions with the institutions in which our lives are embedded. In the first half of this chapter, we consider social behavior as exchange, including the links between social exchange and social structure, power dynamics, and how different types of exchange are associated with commitment, social cohesion, fairness, and collective action. In the second half, we discuss the social exchange approach at the micro (i.e., interpersonal), meso (e.g., groups and organizations), and macro (institutional) levels of analysis. We address both non-economic and economic aspects of exchange at each level, across a variety of substantive applications. We conclude with comments on new developments and future directions for social exchange research, including in key areas such as healthcare and technology-mediated exchange platforms.

We present mechanical sympathy as a generative design concept for cultivating somaesthetic relationships with machines and machine-like systems. We identify the qualities of mechanical sympathy using the design case of How to Train your Drone (HTTYD), a unique human-drone research product designed to explore the process by which people discover and co-create the somaesthetic potential of drones. We articulate the qualities – (i) machine-agency, (ii) oscillations, and (iii) aesthetic pursuits – by using descriptive and reflective accounts of our design strategies and of our co-creators engaging with the system. We also discuss how each quality can extend soma design research; conceptualizing of appreciative, temporal, and idiosyncratic relationships with machines that can complement technical learning and enrich human-machine interaction. Finally, we ground our concept in a similar selection of works from across the HCI community.

The concept of ‘bodywork´ refers to the work individuals undertake on their own bodies and the bodies of others. One aspect is attending to bodily needs, which is often overlooked in the workplace and HCI/CSCW research on work practices. Yet, this labour can be a significant barrier to work, consequential to work, and prone to spill over into other aspects of life. We present three empirical cases of bodywork: gig-based food delivery, shift work in hospitals and bars, and office-based knowledge work. We describe what attending to bodily needs at work entails and illustrate tactics employed so that work can be carried on, even when the body (or technology optimising it) breaks down. Arguing that all systems are bodily systems, we conclude with a call to acknowledge the centrality of bodies in all work and the roles technologies can play in supporting or constraining bodywork differently for different workers.