Jessica Lindblom

University of Skövde, Uppsala University

Papers

25

Total Citations

688

H-Index

13

About

Jessica Lindblom is a distinguished researcher whose work bridges cognitive science, human-robot interaction (HRI), and user experience (UX) evaluation. With a scholarly foundation rooted in the social and embodied dimensions of intelligence, her early contributions explored how individual cognition emerges through social and cultural embedding — drawing on Vygotskian theory to inform artificial intelligence and social robotics research, a paper that has garnered 125 citations and remains influential in epigenetic robotics discourse. Over time, Lindblom has become a leading voice in human-centered approaches to robotics, particularly examining how people experience, evaluate, and form expectations of social robots. Her frameworks for UX evaluation in HRI — including the widely cited ANEMONE framework for assessing action and intention recognition — have provided the field with rigorous, theoretically grounded tools. Her 2019 classification of human-robot collaboration levels in manufacturing contexts (97 citations) demonstrates her practical relevance to Industry 4.0 challenges. Lindblom's research extends even into agricultural automation, reflecting a broad commitment to understanding human-technology relationships across diverse real-world settings. Collectively, her body of work, accumulating hundreds of citations, establishes her as an essential contributor to designing robots that are not merely functional, but meaningfully integrated into human social life.

Research Focus

Key Achievements

13
H-Index
25
Papers
688
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Social Situatedness of Natural and Artificial Intelligence: Vygotsky and Beyond
125 citations · 2003
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: University of Skövde, Uppsala University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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