This course offers a series of lectures exploring the impact of emerging digital, computational, interactive, and virtual technologies on human behavior and cognition.
Students are offered theoretical and practical knowledge of cutting-edge techniques for tracking and predicting human behavior. These techniques are particularly relevant in cognitive neuroscience and clinical neuropsychology, as well as in industrial and workplace contexts.
The lectures delve into topics spanning machine learning, artificial intelligence, virtual and augmented realities, and robotics. Special emphasis is placed on examining real-world scenarios and practical applications, thus addressing highly ecologically valid measurements of human behavioral and cognitive dynamics. These include the use of various data, such as those derived from eye movements, brain dynamics, and/or spontaneous behaviors, with the intent of accurately capturing the complex nature of human behavior when interacting with new emerging technologies.
Students are offered theoretical and practical knowledge of cutting-edge techniques for tracking and predicting human behavior. These techniques are particularly relevant in cognitive neuroscience and clinical neuropsychology, as well as in industrial and workplace contexts.
The lectures delve into topics spanning machine learning, artificial intelligence, virtual and augmented realities, and robotics. Special emphasis is placed on examining real-world scenarios and practical applications, thus addressing highly ecologically valid measurements of human behavioral and cognitive dynamics. These include the use of various data, such as those derived from eye movements, brain dynamics, and/or spontaneous behaviors, with the intent of accurately capturing the complex nature of human behavior when interacting with new emerging technologies.
- Docente: Merylin Monaro
- Docente: Federica Nenna