ShakeTime!
Marynel Vázquez, Alexander May, Aaron Steinfeld, Wei-Hsuan Chen
- Year
- 2011
- Citations
- 2
Abstract
We explore deception in the context of a multi-player robotic game. The robot does not participate as a competitor, but is in charge of declaring who wins or loses every round. The robot was designed to deceive game players by imperceptibly balancing how much they won, with the hope this behavior would make them play longer and with more interest. Inducing false belief about who wins the game was accomplished by leveraging paradigms about robot behavior and their better perceptual abilities. Results include the finding that participants were more accepting of lying by our robot than for robots in general. Some participants found the balancing strategy favorable after being debriefed, while others showed less interest due to a perceived level of unfairness.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991