Nina Savela
Papers
11
Total Citations
608
H-Index
9
About
Nina Savela is a social psychologist whose research sits at the intersection of human-robot interaction, trust, and the societal implications of robotization and artificial intelligence. Her work explores how people perceive, accept, and emotionally respond to robots across diverse contexts — from professional workplaces to urban public spaces — making her a leading voice in understanding the human dimensions of technological change. Savela's most-cited contribution, a 2017 systematic literature review on social acceptance of robots in occupational fields (246 citations), established a foundational reference point for the field. Building on this, she has examined how trust shapes human-technology interactions online (115 citations) and how robot co-workers negatively affect workers' sense of team identity (81 citations) — findings with significant implications for organizational psychology and workforce policy. Her research employs diverse methodologies, including large-scale population surveys, role-playing experiments, and computational sentiment analysis of social media platforms like Reddit, reflecting both methodological breadth and interdisciplinary ambition. Her work on media effects, robot autonomy, and urban anxiety further demonstrates her commitment to understanding robots as social actors embedded in everyday life. With over 600 cumulative citations, Savela's scholarship offers essential insights for researchers, policymakers, and organizations navigating an increasingly automated world.
Research Focus
Key Achievements
Top Papers
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- 5Media effects on the perceptions of robots33 citations · 2021
- 6Emotional reactions to robot colleagues in a role-playing experiment32 citations · 2021
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