Context and Problem: Digital Workplace and Human-AI assisted training through touch

Project description

Digital, tactile sensors are increasingly being coupled with artificial intelligence to support people in their daily and professional activities, e.g. with lane-keeping assistants in cars or robots that assist with precision operations. In view of the importance of artificial assistance systems, the project investigates their inclusion in the training process from the perspective of cognitive science, computer science and philosophy. This is because cooperative learning will also include hybrid pairs of human and artificial learners.

Using a novel interdisciplinary approach, the project team investigates hybrid learning between humans and AI for increasingly innovative tactile augmentation and assistance. To this end, three different but complementary perspectives sre integrated:

• The cognitive neuroscience of human biological learning through vision and touch,
• the philosophy of self-confidence and trust in digital tactile assistants,
• the computer science design of machine learning algorithms tailored to tactile learning with AI.

The project also includes citizen science components from medicine and driving practice, which helped to translate the results into a concrete application.

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Project team