Sensitive technology

In the age of digitally networked products and artificial intelligence technologies, the design of the interface between man and machine plays a key role. The study shows which new perspectives and potentials arise from neuroergonomic methods for the design of attractive products and services.

Using practical examples, we report on which methods can be used to optimize technology design so that products and services are geared towards the needs of the user and design processes of human-centricity and acceptance are appropriately taken into account. Neuroergonomics can, for example, provide information on how high the cognitive load is or how people feel emotionally when using technology. Furthermore, we show how current neurotechnologies can be used to measure signals in the brain or physical arousal patterns and thus recognize emotional and cognitive states in real time - so-called brain-computer interfaces (BCIs).

Using practical example scenarios, we explain the potential this offers for the development of autonomous and adaptive assistance systems for work, learning and mobility. The study provides information on this:

• Where challenges lie for developers and end users in use
• Which applications are possible and desirable
• What added value BCIs offer for solving current problems in the development of technical assistance systems