Physiological Indicators for Real-Time Detection of Operator's Attention

Abstract

Attention is a safety-critical operator ability that needs to be sustained over the course of specific tasks. However, many internal factors (e.g.: cognitive underload or overload, fatigue, etc.) and external factors (e.g.: HMI quality, environmental stressors, noise, etc.), can cause attention to drift away from the task. Having real-time indicators of operator’s attention could increase the safety of any human-operated system. Recent industrial deployment of driver- monitoring systems demonstrated the possible use of certain physiological and behavioural metrics as indicators of attention. However, it is unclear how sensitive and accurate these metrics are in detecting attention-related changes. This paper aims to provide a brief review of the potential real-time proxy-indicators of attention and present an experiment design to assess their suitability and sensitivity using performance metrics as a benchmark. Several variables identified in the literature are presented, each is associated with a particular aspect of attention. They are grouped into electroencephalography- , eye-tracking- , and electrocardiography- based variables. The experiment devised to test these variables involves computer-based task, designed to incur varying degrees of task load and to evoke different attentional requirements. It allows the recording of different individual performance metrics. The relationship between performance and physiological indicators will be tested and compared across different attentional requirement and task load conditions. Real-time indices of attention have important safety implications such as providing immediate feedback to the operator or predicting attentional lapses.