Interfaces and models of interaction between human and robots and human and AI
HCS pursues a new approach to the design of human-machine interfaces and interaction modalities. The strengths of human and machines are combined, considering both the physical and cognitive peculiarities of each individual; future human-centric system design will take into account subject personality, emotional sensitivity and cognitive style.
Human-machine interaction, including human-AI interaction, adapts to the heterogeneity of individuals and their interactions within a collaborative scenario, also considering human affective state.
To achieve these goals, a multidisciplinary approach is adopted by merging engineering and computer science with physiology and neuroscience. The newly developed ICT and robotic systems includes models of the cognitive and affective processes integrating multiparametric information from heterogeneous data, such as those obtained with wearable and/or minimally invasive devices and sensors and natural language processing algorithms.
This research line will thus lead a revolution in the relationship between society and technology facilitating the access technologies, the learning process in its use as well as its acceptance and credibility.