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The course focuses on measurable parameters of the human body, commonly referred as biofeedback, neurophysiologic or biometric measures. These measures are increasingly used in many fields of research, and engineering is of no exception. Biofeedback is particularly popular in those areas characterized by a relevant role of human actions and decisions. Examples include domains where people are asked to interact with artificial elements, such as ergonomics, human-robot, human-computer, and human-product interaction. The main reason for these measures to make inroads in engineering is the enabled possibility to acquire objective data of people’s behaviour. While instruments to capture biofeedback originate from the medical field, these are conveniently used to monitor visual behaviour, cognition and effort. Some of the extracted measures are associated with emotional arousal and stress. The course illustrates the main biometric measures involved in engineering research, such as eye- and body-tracking, galvanic skin response, electroencephalography, and electromyography. The course will provide insights into how to design experiments with biometric devices, along with related privacy and ethics considerations. Illustrative applications are provided to support explanations from engineering design, human-robot and human-product interaction, which are most developed research areas Â鶹Éç benefitting from biometric tools. Classes benefit from the newly established User Experience Lab and additional equipment owned by unibz, which ensures hands-on learning beyond more theoretical lectures.