Advances in cognitive psychology and neuroscience reveal that new digital technologies influence our perception and our interactions with the environment.
Technologies of artificial intelligence collect and process information to tailor product offers and services. These technologies select options to guide users' attention and choices.
Developers and designers rely more and more on scientific advances to create technologies of the future and to improve human-machine collaboration.
One of the key advantages for users is to use brain-friendly technologies that facilitate and sustain the development of their cognitive capacities on the long run.
Technologies of artificial intelligence (AI) have proved better performance than humans in very specific tasks like video games and strategic games.
This rapid technological increase might generate concerns and delusions on machines' fast learning capabilities in complex tasks, up to point that they might take over several jobs.
What are the real learning capabilities of AI and how do they learn? What are the main differences with humans' learning capabilities and how will these technologies transform jobs?
Technologies of artificial intelligence (AI) bring the promise of better experience, augmented performance, and making better and faster decisions.
AI guide our choices and decisions by summarizing and synthesizing complex sets of information. But their results largely depend on the type of information selected by developers.
Do AI manipulate our decisions? How do they impact our perception of the world and our decisions? How can we guarantee that AI help making better decision?
Meeting people's need is a key requirement for succesful innovation.
But large-scale deployment of new products or services also requires that users change their habits permanently to adopt new uses.
Advances in cognitive psychology and neuroscience reveal the cognitive biases that hinder changing habits in a sustainable way.
