Towards a more holistic view on user state assessment in adaptive human-computer interaction

User state assessment in adaptive human-computer-interaction has often been equaled to the assessment of workload. More recently, approaches have surfaced that also focus on other state dimensions such as fatigue, situation awareness, and the emotional state. However, interrelations and dependencies between these state dimensions are not considered if each is assessed in isolation. Furthermore, it is often neglected that individual factors, factors of the work environment, and self-regulation-strategies of the operator strongly influence these state dimensions. We suppose that adaptation based on user state assessment is more successful if this set of interactions is integrated into a more holistic assessment approach. We therefore propose a model that aims to provide a more holistic view on user state assessment. The model also aims to be generic in the sense that it can be applied to diverse operational conditions. Application is illustrated by a recent aviation incident.