Emily Wong

schoolUniversity of Melbournebar_chart#2285 Global Rank

Total Papers

HCI Rank

#2285

Research Areas

Years Active

Recent Publications

Sensemaking in Multi-Agent LLM Interfaces: How Users Interpret Transparency and Trustworthiness Cues

As multi-agent Large Language Models (LLMs) gain traction, designers must consider how to surface their internal reasoning in ways that foster appropriate trust. We present a design-led, qualitative, comparative structured observation study, exploring how users interpret and evaluate transparency in multi-agent LLMs.…

CHI '261st AuthorMixed Reality Workspaces +2

Is That You or The Machine? Translating Sociocultural Norms Across Distributed Spaces in Blended Realities

When distributed mixed reality (MR) systems map physical spaces to enable co-presence of local and remote collaborators, they can unintentionally disrupt the sociocultural norms that give actions their meaning. For instance, a participant sitting at their own desk may be rendered as occupying their collaborator’s desk…

CHI '251st AuthorMixed Reality Workspaces +1

Spatial Heterogeneity in Distributed Mixed Reality Collaboration

Collaborative Mixed Reality (MR) enables embodied meetings for distributed collaborators working across a variety of locations. However, providing a coherent experience for all users regardless of the spatial configurations of their respective physical environments is a central challenge. We present the Spatial Hetero…

DIS '241st AuthorHonorable MentionMixed Reality Workspaces +1

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 momentaril…

CHI '241st AuthorMixed Reality Workspaces +1

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 collaborat…

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