Algorithmic systems embedded in everyday collaboration platforms increasingly shape the way workers form impressions about each other. As they infer, evaluate, and act upon workers’ traces, professional visibility becomes entangled with surveillance, recognition, and new forms of agency and reappropriation. This pictorial examines how such entanglements are materialized and negotiated when algorithmic systems and AI agents enter workplace visibility practices. We present a set of speculative artifacts situated within a shared regime of algorithmic workplace visibility, including organizational performance dashboards, predictive interfaces, Agentic AI, third-party optimization tools, and critical reactions around such socio-technical constellations. The pictorial pairs these artifacts with marginal annotations that operate as exegesis—critical, analytical, or elaborative commentary—positioning and interpreting the situated material work of design in relation to critical HCI scholarship. Our contribution lies in the insights about algorithmic visibility made possible through the indexical ties between speculative artifacts and exegetic annotation.

Secondary school systems often reward predictable, mark-bearing performance, making experimentation feel risky, especially in under-resourced contexts, where time, attention, and materials are tightly managed. We report on an exploratory case study of a charity-led digital arts programme delivered in two low-socioeconomic secondary schools in which immersive (i.e., Virtual Reality) and non-immersive (i.e., tablet-based) digital tools were introduced into Year 7 (400+ pupils, typically aged 11–12) curriculum. Through thematic analysis of the lesson observation notes and student surveys, we show that pupils take more creative risks, value exploration, iterate more, and increasingly learn through and with peers. We characterise shifts in classroom ecology, including shared talk, turn-taking, micro-tutorials, and practices of care and repair that help sustain learning-in-process. Finally, we analyse the breakdowns and trade-offs of deploying off-the-shelf creative technologies in low-resource school routines, and derive deployment lessons for resilient, bottom-up creative technology curricula that fit everyday classrooms.

In underserved coastal communities, the adoption of digital technology is deeply stratified. While schools with high socio-economic status (SES) leverage technology for creative agency, under-resourced schools often face a second-level digital divide, where hardware is treated as a disruption rather than a tool for inquiry. We investigate this dynamic through an exploratory study of a digital arts programme in low-SES UK secondary schools, in which Human-Computer Interaction (HCI) researchers served as advisors and observers of a co-created partnership between schools and a local digital arts charity. Our findings reveal a pedagogical chasm. Systemic constraints and assessment pressures force teachers into the role of risk-averse behavioural gatekeepers, while external facilitators manage the creative play. However, we identify how students bridge this gap by establishing peer infrastructures, shared talk and repair work that transform technical breakdowns into possibility spaces for learning. We argue that sustainable integration requires designing for school settings to empower the human relationships central to creative technology use.

Battery-free computer gaming offers a vision of sustainable interaction in which games run on hardware that does not require a battery, yet this approach introduces uncertainty due to frequent power failures. Rather than viewing these failures as limitations, this work examines how integrating energy harvesting with application design can encourage users to reimagine and work with such failures, thus shaping behaviour and supporting device use. We present TURNER, a state-of-the-art modular battery-free games console powered by a hand crank and solar cells, created as a research probe to study how energy harvesting mediates the relationship between power and interaction. In a mixed-methods study (N = 60), we explored the influence of energy harvesting on gameplay. Findings show significant variations in harvesting strategies, with interviews surfacing strategies for creating applications that respond to and build on the patterns of system power failure, the ergonomics of energy harvesting, and the value of embedding energy generation into play. Our work offers insights for interactive, sustainable battery-free computers.

Large Language Model-powered conversational agents (CAs) are increasingly capable of projecting sophisticated personalities through language, but how these projections affect users is unclear. We thus examine how CA personalities expressed linguistically affect user decisions and perceptions in the context of charitable giving. In a crowdsourced study, 360 participants interacted with one of eight CAs, each projecting a personality composed of three linguistic aspects: attitude (optimistic/pessimistic), authority (authoritative/submissive), and reasoning (emotional/rational). While the CA’s composite personality did not affect participants’ decisions, it did affect their perceptions and emotional responses. Particularly, participants interacting with pessimistic CAs felt lower emotional state and lower affinity towards the cause, perceived the CA as less trustworthy and less competent, and yet tended to donate more toward the charity. Perceptions of trust, competence, and situational empathy significantly predicted donation decisions. Our findings emphasize the risks CAs pose as instruments of manipulation, subtly influencing user perceptions and decisions.

Contestability has been proposed as a key element in designing algorithmic decision-making processes that safeguard decision subjects' rights to dignity and autonomy. However, little is known about how contestability can be operationalized based on decision subjects' needs and preferences. We address this research gap by identifying decision subjects' information and procedural needs for enacting meaningful contestability. To this end, we chose an illegal holiday rental detection scenario as our case; a high-risk decision-making process in the public sector. We conducted 21 semi-structured interviews with citizens with experience renting their homes out and different levels of AI literacy. We found that decision subjects request interventions that facilitate (1) cooperation in sense-making, (2) support in contestation acts, and (3) appropriate responsibility attribution. Our results highlight the cooperative work behind contestability, and motivate future efforts to structure individual and collective action, to personalize explanations for contestability, and to open up sites of contestation in AI pipelines.

MobiTouch is a wearable haptic device that integrates pneumatic and vibrotactile technologies to enhance touch sensations. The system addresses the slow responsiveness of small pneumatic components by compensating with vibrations, allowing for more diverse touch patterns. The wrist prototype operates wireless, is powered by a rechargeable battery, and features customisable touch patterns through an external controller. MobiTouch’s design improves portability and responsiveness for haptic pneumatic wearables, offering potential applications in affective touch and wireless tactile transmission.

Digitally-supported participatory methods are often used in policy-making to develop inclusive policies by collecting and integrating citizen's opinions. However, these methods fail to capture the complexity and nuances in citizen's needs, i.e., citizens are generally unaware of other's needs, perspectives, and experiences. Consequently, policies developed with this underlying gap tend to overlook the alignment of multistakeholder perspectives, and design policies based on the optimization of high-level demographic features. In our contribution, we propose a method to enable citizens understand other's perspectives and calibrate their positions. First, we collected requirements and design principles to develop our approach by involving stakeholders and experts in policymaking in a series of workshops. Then, we conducted a crowdsourcing study with 420 participants to compare the effect of different text and images, on people's initial and final motivations and their willingness to change opinions. We observed that both influence participant's opinion change, however, the effect is more pronounced for textual modality. Finally, we discuss overarching implications of designing with empathy to mediate alignment of citizen's perspectives.

Empathy is considered a crucial construct within HCI and CSCW, yet our understanding of this complex concept remains fragmented and lacks consensus in existing research. In this scoping review of 121 articles from the ACM Digital Library, we synthesize the diverse perspectives on empathy and scrutinize its current conceptualization and operationalization. In particular, we examine the various interpretations and definitions of empathy, its applications, and the methodologies, findings, and trends in the field. Our analysis reveals a lack of consensus on the definitions and theoretical underpinnings of empathy, with interpretations ranging from understanding the experiences of others to an affective response to the other's situation. We observed that despite the variety of methods used to gauge empathy, the predominant approach remains self-assessed instruments, highlighting the lack of novel and rigorously established and validated measures and methods to capture the multifaceted manifestations of empathy. Furthermore, our analysis shows that previous studies have used a variety of approaches to elicit empathy, such as experiential methods and situational awareness. These approaches have demonstrated that shared stressful experiences promote community support and relief, while situational awareness promotes empathy through increased helping behavior. Finally, we discuss a) the potential and drawbacks of leveraging empathy to shape interactions and guide design practices, b) the need to find a balance between the collective focus of empathy and the (existing and dominant) focus on the individual, and c) the careful testing of empathic designs and technologies with real-world applications.

Significant and rapid advancements in cancer research have been attributed to Artificial Intelligence (AI). However, AI’s role and impact on the clinical side has been limited. This discrepancy manifests due to the overlooked, yet profound, differences in the clinical and research practices in oncology. Our contribution seeks to scrutinize physicians’ engagement with AI by interviewing 7 medical-imaging experts and disentangle its future alignment across the clinical and research workflows, diverging from the existing “one-size-fits-all” paradigm within Human-Centered AI discourses. Our analysis revealed that physicians’ trust in AI is less dependent on their general acceptance of AI, but more on their contestable experiences with AI. Contestability, in clinical workflows, underpins the need for personal supervision of AI outcomes and processes, i.e., clinician-in-the-loop. Finally, we discuss tensions in the desired attributes of AI, such as explainability and control, contextualizing them within the divergent intentionality and scope of clinical and research workflows.

The current mechanisms that drive the development of AI technologies are widely criticized for being tech-oriented and market-led instead of stemming from societal challenges. In Human-Centered AI discourses, and more broadly in Human-Computer Interaction research, initiatives have been proposed to engage experts from various domains of social science in determining how AI should reach our societies, predominantly through informing the adoption policies. Our contribution, however, seeks a more essential role for social sciences, namely to introduce discursive standpoints around what we need AI to be. With a focus on the domain of urbanism, the specific goal has been to elicit – from interviews with 16 urban experts – the imaginaries of how AI can and should impact future cities. Drawing on the social science literature, we present how the notion of “imaginary” has essentially framed this research and how it could reveal an alternative vision of non-human intelligent actors in future cities.

Abstract We examine the technological aspects of political collaborative practices in one of the first studies of participatory constitution writing in the course of its progression. In particular, we examine how digital collaborative and communicative tools can facilitate (or inhibit) the permeation of boundaries, which manifest through the differences in political ideologies and partisan beliefs. Our study is grounded in interviews with 15 members of the Constituent Assembly in the canton of Valais, Switzerland, and its primary contribution is in constructing a fine-grained contextualized understanding of political collaborations, their evolution, and their relationship with collaborative tools. Our findings demonstrate the centrality of versatile and widely available digital tools (such as WhatsApp and Google Docs) in political work. In addition, elected lawmakers prefer tools that allow them to organize their collaborative and communicative actions based on dynamic social boundaries, and their need for asynchronous work practices. We observed a tendency of simultaneously using multiple digital tools to accomplish specific political objectives, and leveraging them in plenary sessions for strategic advantages. On the one hand, collaborative tools enabled strategic advantages by selective permeation of boundaries across political ideologies. On the other hand, lack of awareness about boundaries between ‘private’ and ‘public’ on social networks were considered as privacy blind spots. By focusing on boundaries of different kinds, our paper elucidates how the introduction of digital technologies into political process transforms the long-established categories, distinctions and divisions that are often taken for granted.

This contribution exemplifies how the study of space perception and its impact on space-use behavior can inform sustainable architecture. We describe our attempt to integrate the methods of user research in an architectural project that was focused on optimization of space usage. In an office building, two large office rooms were refurbished to provide desk-sharing opportunities through hot-desking. We studied the space-use behavior of 33 office workers over eight weeks in those two rooms as well as their occasional presence in ten other areas (cafeteria, atrium, meeting rooms, etc.). Quantitative and qualitative analyses were performed to understand the nature and nuances of space occupancy at the scope of the building and within the refurbished offices. While at the scope of building the patterns of movements between rooms were found to be related to the professional profile of the users, at the scope of office the occupancy patterns were influenced by the spatial design of workspaces. More precisely, certain visual attributes of a workspace, namely Visual Exposure and Visual Openness, could determine whether or not it was regularly used. In this paper, we describe our findings in detail and discuss their implications for sustainable building design.

Understanding how people use different spaces in a building can inform design interventions aimed at improving the utility of that building, but can also inform the design of future buildings. We studied space use in an office building following a method we have designed to reveal the occupancy rate and navigational patterns. Our method involves two key components: 1) a pervasive sensing system that is scalable for large buildings, and high number of occupants, and 2) participatory data analysis engaging stakeholders including interior architects and building performance engineers, to refine the questions and define the needs for further analyses through multiple iterations.

In co-located meetings, participants create and share content to establish a common understanding. In this paper, we present a collaborative environment that enables group members to create and share content simultaneously by providing them with different kinds of individual input devices and a shared workspace. We also report on an exploratory study to investigate the influence of the input device used on the shared knowledge produced by the group. The results suggest that driven by the affordances, various input devices complement each other. We thus recommend groups to be equipped with multitude of them to support diverse meeting task demands. Additionally, we observed that groupware usage differs across various phases of the problem-solving activity. This provides implications for the design of collaborative environments to assist each of the respective phases of the task, in order to extend their usefulness for the group.

We present the results of group dynamics and their effect on success in problem solving/decision making meetings. We use a novel multiple input environment for collaboration and data collection, and a hidden profile task given to groups, whose goals are to find the correct solution. We observe that groups elect 0, 1 or 2 leaders, and the best results are obtained by the groups with a single leader. Prior acquaintance (familiarity), does not show any effect on the success or on the group strategies. Groups with a single leader tend to be more successful, and leaders expressed their authority verbally rather than by through the collaborative system.