Remote meetings using 3D avatars in Augmented Reality (AR) allow effective communication and enable users to retain awareness of their surroundings.
However, positioning 3D avatars effectively and consistently for all users in AR is challenging since most spaces, such as offices or living rooms, are not large enough to accommodate multiple life-sized avatars without interference.
To address this issue, we contribute MiniMates---a novel approach leveraging miniature avatars, which make it possible to place multiple remote users in a limited physical space.
We see MiniMates as complementary to traditional 2D video conferencing and immersive telepresence.
Our approach automatically adjusts the formation of avatars and redirects users' head and body orientation to facilitate communication.
Results from our user study (n = 24) show that participants experience a higher sense of co-presence compared to video conferencing, and that MiniMates enabled them to communicate the direction of their interactions non-verbally as well as manage multiple simultaneous conversations.
Meetings often suffer from a lack of intentionality, such as unclear goals and straying off-topic. Identifying goals and maintaining their clarity throughout a meeting is challenging, as discussions and uncertainties evolve. Yet meeting technologies predominantly fail to support meeting intentionality. AI-assisted reflection is a promising approach. To explore this, we conducted a technology probe study with 15 knowledge workers, integrating their real meeting data into two AI-assisted reflection probes: a passive and active design. Participants identified goal clarification as a foundational aspect of reflection. Goal clarity enabled people to assess when their meetings were off-track and reprioritize accordingly. Passive AI intervention helped participants maintain focus through non-intrusive feedback, while active AI intervention, though effective at triggering immediate reflection and action, risked disrupting the conversation flow. We identify three key design dimensions for AI-assisted reflection systems, and provide insights into design trade-offs, emphasizing the need to adapt intervention intensity and timing, balance democratic input with efficiency, and offer user control to foster intentional, goal-oriented behavior during meetings and beyond.
Workplace incivility—low-intensity deviant behavior that violates norms of mutual respect—harms workers, though social support can alleviate this. Both incivility and support-seeking are shaped by the communication environment, which has been profoundly altered by remote and hybrid work, yet the outcomes of these changes are not well understood. Using surveys and interviews, we investigated USA remote and hybrid workers' experiences with three types of cyber incivility (hostility, gossip, and exclusion), and follow-up support. We found cyber incivility experiences are more common among workers who spend more time at the office, and among women than men. We also discover that digital communication tools reduce some harms but exacerbate others, and that support-seeking is effective but harder to access remotely. Based on these findings, we propose implications for digital communication tools and policies to reduce cyber incivility and improve support access, fostering a more respectful and supportive remote work environment.
Computer-mediated collaboration often relies on symmetrical interactions between users, where all the collaborators use identical devices. However, in some cases, either due to constraints (e.g. users in different environments) or by choice (e.g. using devices with different properties), users engage in asymmetrical interactions. Addressing such asymmetries in heterogeneous systems can be difficult as there has been no systematic analysis of how to define them, or their impact on collaboration. In this paper, we characterize the asymmetries that can arise between users’ interactions within collaborative heterogeneous systems. To this end, we conduct a systematic literature review of asymmetric collaborative systems, coding their properties, including the interaction spaces, their input and output modalities, and shared feedback. We then define the dimensions of asymmetry that emerge from this review. We discuss their impact on collaboration and outline a set of challenges and opportunities for future research.
Hybrid meetings have become common practice in collaborative work environments.
However, they are constrained by the fixed spatial configurations of videoconferencing technology.
This limits opportunities for mobile and spontaneous interactions; qualities that are critical to successful collaboration.
In this paper, we explore the concept of radically mobile hybrid meetings.
Our work investigates the design space of multimodal devices as mobile alternatives to traditional videoconferencing.
We conducted three group co-design sessions, where participants prototyped mobile hybrid meeting technologies to explore how such meetings could be supported. From these workshops, we derive design fictions envisioning future uses of these technologies, which we evaluate with a questionnaire to spark reflections on future mobile hybrid collaboration tools and practices. We contribute an initial exploration of the design space for radically mobile hybrid meetings, laying the groundwork for developing tools that enable spontaneous, effective, and inclusive collaboration in hybrid mobile settings.
Although intended to foster spontaneous interactions among workers, a typical open-plan office layout cannot mitigate visual, acoustic, or privacy-related distractions that originate from unplanned meetings.
As office workers often refrain from tackling these issues by manually demarcating or physically relocating to a more suitable subspace that is enclosed by movable partitions, we hypothesise that these subspaces could instead be robotically manifested. This study therefore evaluated the perceived impact of two mobile robotic partitions that were wizarded to jointly manifest an enclosed subspace, to: 1) either `mitigate' or `intervene' in the distractions caused by spontaneous face-to-face or remote meetings; or 2) either `gesturally' or `spatially' nudge a distraction-causing worker to relocate.
Our findings suggest how robotic furniture should interact with office workers with and through transient space, and autonomously balance the distractions not only for each individual worker but also for multiple workers sharing the same workspace.