Accessibility Tools

Skip to main content

Eidgenössische Technische Hochschule Zürich, Switzerland

General description

ETH Zurich, or the Swiss Federal Institute of Technology Zurich, is one of the world’s most renowned technical universities. Founded in 1855, ETH Zurich has a long-standing tradition of excellence in education and research, particularly in engineering, technology, and the natural sciences. With approximately 24,000 students from over 120 countries, ETH Zurich fosters a vibrant international community. The university offers a wide range of programs across 16 departments, including numerous Bachelor’s, Master’s, and Doctoral degrees, as well as continuous education courses. ETH Zurich is known for its cutting-edge research and strong ties to industry, providing students with ample opportunities for innovation and collaboration. Joining the INTELLIMAN Network, ETH Zurich’s WP 6 projects are spearheaded by leaders such as Prof. Dr. Emily Cross and Dr. Gianluca Saetta. The projects are hosted by the Social Brain Sciences Lab at the department of Humanities, Social and Political Sciences.

Expertise related to the project

The primary ETH expertise is in the general neuropsychological and psychological assessment of cognitive and affective processes, the clinical evaluation of qualitative and quantitative aspects of phantom limb sensation (i.e., the feeling that a limb is still present despite its physical loss) and the factors underlying the prosthesis embodiment (i.e. the feeling that an external device could be a surrogate of one’s body part).

ETH Projects aim at gaining deep knowledge on the neuropsychological and multisensory neurophysiological mechanisms promoting human acceptability, trust, sense of ownership and agency (i.e., the feeling that a robotic device belongs to a human and the feeling of being in control of this device, respectively) towards mechanical devices. To this ambitious goal, ETH combines multimodal methods such as virtual reality technology for realistic simulation of human-machine interactions, eye tracker for the gaze behaviour analysis and ad-hoc created behavioural paradigms. Moreover, ETH supports the INTELLIMAN projects with advanced univariate and multivariate statistical methods for multimodal data analysis.