Emily Wong
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Emily Wong has a total of 25 co-authors. Here are the top co-authors by number of shared publications:
- Eduardo Velloso
School of Computer Science, The University of Sydney, Sydney, New South Wales, Australia
8 shared publications - Jens Emil Sloth Grønbæk
Department of Computer Science, Aarhus University, Aarhus, Denmark
6 shared publications - Adélaïde Genay
School of Computing and Information Systems, University of Melbourne, Melbourne, VIC, Australia
2 shared publications - Frank Vetere
University of Melbourne, Melbourne, VIC, Australia
2 shared publications - Germán Leiva
Aarhus University, Aarhus, Denmark
2 shared publications - John Howe
University of Melbourne
2 shared publications
Latest Publications
- Open Access
- 21 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-19
Reclaiming Productivity: Critical Perspectives on Speculative Futures
- 21 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-19
Open AccessReclaiming Productivity: Critical Perspectives on Speculative Futures
- Open Access
- 12 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 3152-3173
Systemic Futures: Integrating Critical Speculation and Systemic Design Pragmatism
Speculative and systemic design are both used by HCI researchers to engage in complex sociotechnical change. However, they are rarely integrated in ways that make their complementary strengths explicit. This paper introduces Systemic Futures Dialogue, a design approach that interleaves speculative and systemic design methods across micro-macro and present-future dimensions. We report on an 18-month case study with the Architecture, Engineering, and Construction (AEC) industry, that applied a mixture of methods used in both design disciplines. These included semi-structured interviews, systems mapping, future-based scenarios, speculative probes, and participatory reflection. The resulting design approach generates grounded futures by connecting macro-level system dynamics with micro-level speculative critique, identifying tensions between present-day solutions and desired futures. The final Systemic Futures Dialogue contributes methodological guidance for conducting critical, participatory design work within a sociotechnical system.
- 12 June 2026
- Published by Association for Computing Machinery (ACM)
- p. 3152-3173
Open AccessSystemic Futures: Integrating Critical Speculation and Systemic Design Pragmatism
Speculative and systemic design are both used by HCI researchers to engage in complex sociotechnical change. However, they are rarely integrated in ways that make their complementary strengths explicit. This paper introduces Systemic Futures Dialogue, a design approach that interleaves speculative and systemic design methods across micro-macro and present-future dimensions. We report on an 18-month case study with the Architecture, Engineering, and Construction (AEC) industry, that applied a mixture of methods used in both design disciplines. These included semi-structured interviews, systems mapping, future-based scenarios, speculative probes, and participatory reflection. The resulting design approach generates grounded futures by connecting macro-level system dynamics with micro-level speculative critique, identifying tensions between present-day solutions and desired futures. The final Systemic Futures Dialogue contributes methodological guidance for conducting critical, participatory design work within a sociotechnical system.
- Open Access
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-20
Is That You or The Machine? Translating Sociocultural Norms Across Distributed Spaces in Blended Realities
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-20
Open AccessIs That You or The Machine? Translating Sociocultural Norms Across Distributed Spaces in Blended Realities
- Open Access
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-20
Sensemaking in Multi-Agent LLM Interfaces: How Users Interpret Transparency and Trustworthiness Cues
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-20
Open AccessSensemaking in Multi-Agent LLM Interfaces: How Users Interpret Transparency and Trustworthiness Cues
- Open Access
- 17 October 2025
- Published by Association for Computing Machinery (ACM)
- p. 168-173
Augmenting Collaborative Problem-Solving: Exploring the Design and Use of GenAI for Groupwork
- 17 October 2025
- Published by Association for Computing Machinery (ACM)
- p. 168-173
Open AccessAugmenting Collaborative Problem-Solving: Exploring the Design and Use of GenAI for Groupwork
- Open Access
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-6
Scaling Distributed Collaboration in Mixed Reality
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-6
Open AccessScaling Distributed Collaboration in Mixed Reality
- Open Access
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-19
Spatial Heterogeneity in Distributed Mixed Reality Collaboration
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-19
Open AccessSpatial Heterogeneity in Distributed Mixed Reality Collaboration
- Open Access
- 1 July 2024
- Published by Association for Computing Machinery (ACM)
- p. 2227-2246
The Jamais Vu Effect: Understanding the Fragile Illusion of Co-Presence in Mixed Reality
Collaboration in distributed mixed reality (MR) creates co-presence illusions by bringing a digital representation of the remote collaborator into the local user’s physical space. However, constraints in each physical environment, such as different spatial layouts and furniture, can hinder collaboration and momentarily break the illusion of co-location. Since the remote user’s physical space is invisible to the local user, the source of the interaction problem is often imperceptible, leading to familiar real-world interactions suddenly feeling unfamiliar—a concept we term the Jamais Vu Effect. In this paper, we conceptualise and demonstrate this effect through a five-part user study that elicits the user experience of the Jamais Vu Effect in MR. We contribute a shared vocabulary and understanding of spatial interface design challenges to help designers and researchers discuss and improve distributed collaboration in MR.
- 1 July 2024
- Published by Association for Computing Machinery (ACM)
- p. 2227-2246
Open AccessThe Jamais Vu Effect: Understanding the Fragile Illusion of Co-Presence in Mixed Reality
Collaboration in distributed mixed reality (MR) creates co-presence illusions by bringing a digital representation of the remote collaborator into the local user’s physical space. However, constraints in each physical environment, such as different spatial layouts and furniture, can hinder collaboration and momentarily break the illusion of co-location. Since the remote user’s physical space is invisible to the local user, the source of the interaction problem is often imperceptible, leading to familiar real-world interactions suddenly feeling unfamiliar—a concept we term the Jamais Vu Effect. In this paper, we conceptualise and demonstrate this effect through a five-part user study that elicits the user experience of the Jamais Vu Effect in MR. We contribute a shared vocabulary and understanding of spatial interface design challenges to help designers and researchers discuss and improve distributed collaboration in MR.
- Open Access
- 11 May 2024
- Published by Association for Computing Machinery (ACM)
- p. 1-18
Practice-informed Patterns for Organising Large Groups in Distributed Mixed Reality Collaboration
Collaborating across dissimilar, distributed spaces presents numerous challenges for computer-aided spatial communication. Mixed reality (MR) can blend selected surfaces, allowing collaborators to work in blended f-formations (facing formations), even when their workstations are physically misaligned. Since collaboration often involves more than just participant pairs, this research examines how we might scale MR experiences for large-group collaboration. To do so, this study recruited collaboration designers (CDs) to evaluate and reimagine MR for large-scale collaboration. These CDs were engaged in a four-part user study that involved a technology probe, a semi-structured interview, a speculative low-fidelity prototyping activity and a validation session. The outcomes of this paper contribute (1) a set of collaboration design principles to inspire future computer-supported collaborative work, (2) eight collaboration patterns for blended f-formations and collaboration at scale and (3) theoretical implications for f-formations and space-place relationships. As a result, this work creates a blueprint for scaling collaboration across distributed spaces.
- 11 May 2024
- Published by Association for Computing Machinery (ACM)
- p. 1-18
Open AccessPractice-informed Patterns for Organising Large Groups in Distributed Mixed Reality Collaboration
Collaborating across dissimilar, distributed spaces presents numerous challenges for computer-aided spatial communication. Mixed reality (MR) can blend selected surfaces, allowing collaborators to work in blended f-formations (facing formations), even when their workstations are physically misaligned. Since collaboration often involves more than just participant pairs, this research examines how we might scale MR experiences for large-group collaboration. To do so, this study recruited collaboration designers (CDs) to evaluate and reimagine MR for large-scale collaboration. These CDs were engaged in a four-part user study that involved a technology probe, a semi-structured interview, a speculative low-fidelity prototyping activity and a validation session. The outcomes of this paper contribute (1) a set of collaboration design principles to inspire future computer-supported collaborative work, (2) eight collaboration patterns for blended f-formations and collaboration at scale and (3) theoretical implications for f-formations and space-place relationships. As a result, this work creates a blueprint for scaling collaboration across distributed spaces.