Schneider, J. (2025). Towards Intelligent Adaption in Cognitive Assistance Systems through Physiological Computing.

Title

Schneider, J. (2025). Towards Intelligent Adaption in Cognitive Assistance Systems through Physiological Computing. In Proceedings of the 27th International Conference on Multimodal Interaction (ICMI ’25) (pp. 749-753).

Abstract

With the growing prevalence of cognitive impairments around the globe and in Europe, an increasing number of people are likely to experience cognitive decline during their working years. Supporting these individuals to remain in employment is imperative, both to promote personal well-being and to enable organizations to retain experienced and skilled workers. This research proposes the design of a physiologically adaptive cognitive assistance system to support individuals with mild cognitive impairment in sheltered workshops. This work adopts a design science research approach, combining laboratory and field experiments to achieve user-centred design. Expected outcomes include a modular framework for physiologically adaptive cognitive assistive systems, a multimodal machine learning pipeline for detecting psychological states from physiological signals and design principles to inform future research and development. By demonstrating the potential of such systems within work settings, this research aims to advance the social inclusion of individuals with mild cognitive impairment in the labour market.