Maja Dybboe
Papers
1
Total Citations
3
H-Index
1
About
Maja Dybboe is a researcher at the forefront of human-computer interaction, specializing in hybrid collaboration, telepresence robotics, and the design of shared physical-digital workspaces. Her work addresses the critical challenge of bridging the gap between collocated and remote participants in hybrid settings, with a focus on enhancing remote agency and presence. Dybboe’s most notable contribution is her lead authorship of "TableBot: Getting a Handle on Hybrid Collaboration by Negotiating Control of a Tabletop Telepresence Robot" (2024), which introduces an innovative system where a telepresence robot integrates with a tabletop interface to allow remote users to physically manipulate objects and negotiate control with local collaborators. This paper, already garnering 3 citations in its first year, exemplifies her ability to prototype and evaluate novel interaction paradigms that tackle real-world collaboration asymmetries. Dybboe’s research is distinguished by its hands-on, design-driven approach, combining empirical studies with iterative prototyping to produce tangible solutions for more equitable hybrid work. Her work is particularly impactful for students and researchers interested in the future of remote collaboration, robotics, and the nuanced dynamics of shared control in mixed-presence environments.
Research Focus
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Top Papers
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