Ricerc@Sapienza

The identification of measurable indices of cerebral functions to be
applied in clinical settings is ever more felt as necessary for a more thorough
and objective evaluation of patients cognitive performance. In the present
paper, the electroencephalographic-based indices of mental workload (WL =
frontal θ/parietal α) and of mental engagement (ME = β/(α+θ)), calculated
along the brain midline, have been employed to characterize the eventual
specific patterns of cerebral activations during a speech in noise perception task

By drawing on effort-recovery theory, we conducted two studies to explore the short-term process through which workaholism may affect health and to assess the implications of such a process for job performance. In Study 1 we hypothesised that workaholic tendencies would affect daily workload and that daily workload would mediate the relationship between workaholic tendencies and daily emotional exhaustion. Data were provided by 102 workers consisting mostly of entrepreneurs, managers and selfemployed individuals, who were followed for ten consecutive working days.

Over 3 million work-related injuries and illnesses occur annually. This symposium presents five empirically, contextually, and methodologically diverse studies that provide insight on how to enact effective safety interventions given different national, industry, and organizational features. The session opens with empirical findings from a large scale study undertaken in hospitals in China and India, providing important evidence on the role of national and organizational labor practices in safety management.

Training is a process to improve one's capacity or performance through the acquisition of knowledge or skills specific for the trained task. Although behavioral performance would be improved monotonically and reach a plateau as the learning progresses, neurophysiological signal shows different patterns like a U-shaped curve. One possible account for the phenomenon is that the brain first works hard to learn how to use task-relevant areas, followed by improvement in the efficiency derived from disuse of irrelevant brain areas for good task performance.

Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and families. Recently, electroencephalography-
(EEG-) based physiological and brain activities for fatigue detection have been increasingly investigated.
However, how to find an effective method or model to timely and efficiently detect the mental states of drivers still remains a
challenge. In this paper, we combine common spatial pattern (CSP) and propose a light-weighted classifier, LightFD, which is

Stress is a word used to describe human reactions to emotionally, cognitively and physically challenging experiences. A hallmark of the stress response is the activation of the autonomic nervous system, resulting in the "fight-freeze-flight" response to a threat from a dangerous situation. Consequently, the capability to objectively assess and track a controller's stress level while dealing with air traffic control (ATC) activities would make it possible to better tailor the work shift and maintain high safety levels, as well as to preserve the operator's health.