Human-Computer Interaction (HCI) Research
The goal of the research is to implement and evaluate a wireless version of the current sensor technology with a focus on improved usability and user acceptance in clinical and non-clinical use cases. This is done in an iterative and incremental design and development process. In the first phase, the development of wireless sensor technology for the detection of proximity and touch is the leading objective. The second phase involves the migration of the existing software framework to a portable platform. In order to apply semi-supervised and supervised techniques of machine learning, a system for the systematic acquisition and categorization of sensor and motion data is developed. The required dataset is acquired during experimental and real-world studies in conjunction with structured observation. This enables the training and evaluation of algorithms for the automatic classification of movement gestures in the third phase. Sound mappings and algorithmic compositions are key components of the functionality and associated applications of the Sentire system. Therefore, in parallel to the three phases, the development and adaptation of existing and new sound environments based on the results of clinical-experimental and real-world interaction research as well as user acceptance studies are carried out. In the fourth phase, the research is concentrated on the design and development of Sentire as a wearable device and the evaluation of its usability in clinical and non-clinical use cases.