Alva Markelius

University of Cambridge, University of Gothenburg

Papers

4

Total Citations

14

H-Index

2

About

Alva Markelius is a rising researcher at the intersection of human-robot interaction, cognitive science, and ethical AI. Their work centers on how socially assistive robots (SARs) can enhance cognitive training, particularly through gamified visuospatial memory tasks. In their highly cited 2023 study, Markelius pioneered the use of a SAR to deliver feedback during a gamified working memory exercise, demonstrating that robot-mediated training can yield differential outcomes—a finding with over 8 citations that has sparked interest in rehabilitation and educational robotics. More recently, Markelius has turned to the ethical dimensions of integrating large language models (LLMs) into social robotics. Using an empirical design justice framework, they have identified critical ethical considerations—such as bias, transparency, and user autonomy—that arise when LLMs power robot dialogue and behavior. This work, published in 2024 and 2025, has already garnered attention for its practical, community-grounded approach to responsible innovation. By bridging technical development with social impact, Markelius is shaping how next-generation companion robots can be both effective and ethically sound.

Research Focus

Key Achievements

2
H-Index
4
Papers
14
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Differential Outcomes Training of Visuospatial Memory: A Gamified Approach Using a Socially Assistive Robot
8 citations · 2023
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Cambridge, University of Gothenburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago