Mika Koverola
Papers
12
Total Citations
224
H-Index
7
About
Mika Koverola is a Finnish researcher whose work sits at the fascinating intersection of moral psychology, human-robot interaction, and emerging technology ethics. His research investigates how people perceive, evaluate, and make moral judgments about robots and artificial intelligence — a domain growing increasingly critical as these technologies permeate everyday life. Koverola's most cited contribution is the development of the General Attitudes Towards Robots Scale (GAToRS, 2022), a psychometric instrument now widely adopted in social surveys studying public opinion on robotics, accumulating 86 citations. His experimental work has tackled some of the field's most provocative questions, including the replicability of the uncanny valley effect (41 citations), moral decision-making involving nursing robots and patient autonomy (32 citations), and the psychology of sex robots — exploring how disgust responses differ between human and android contexts (22 citations). More recently, his research has revealed that people hold robots to heightened moral standards in rescue scenarios, preferring deontological innocence over utilitarian action. Through a combination of large-scale experiments, field studies, and theoretical reviews on moral psychology and artificial agents, Koverola has established himself as a rigorous and creative voice in understanding how evolved human cognition struggles — and adapts — to the moral challenges posed by intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1
- 2Evaluating the replicability of the uncanny valley effect41 citations · 2018
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- 6Moral Psychology and Artificial Agents (Part Two)8 citations · 2020
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- 9Moral Psychology and Artificial Agents (Part One)5 citations · 2020
- 10Evaluating the Replicability of the Uncanny Valley Effect3 citations · 2018