The first of our data collection campaigns started in Oldenburg a few weeks ago. In measurement sessions of four hours each, subjects go through several conditions of different audiological complexity and movement requirements. Meanwhile, physiological data such as electroencephalography (EEG) and electrocardiography (ECG) as well as behavioural data regarding attention and listening fatigue are recorded. The multimodal data that is collected during this study will later be used to train the AI algorithms.

Together with 11 CI patients, our team developed different patient journeys, derived from the personal experiences of the participants. Through brainwriting methods and card sorting, new insights were gained and existing theses could be reviewed as well as their individual aspects were hierarchized.

The workshop participants showed a broad knowledge of technology and audiological issues and sensitized the consortium to the psychosocial aspects associated with CI care.

The A2I Consortium will present their findings from a workshop with CI patients at the annual meeting of the German Society of Audiology. In their presentation: Patients’ voice as part of participative development within research, the speakers will discuss one of the central research questions of A2I: The acceptance of AI-based systems in healthcare, more specifically the design of human-machine interaction and the transparency of decision-making, which is highly relevant for the user.