The brain mechanism of selective attention plays a key role in determining the success of a human’s interaction with a device. If the user has to perform concurrent tasks by interacting simultaneously with more than one device, her/his attention is directed at one of the devices at a time. Attention can therefore be seen as a shared resource, and the attentional mechanisms play the role of a task scheduler. In this paper we propose an algorithm for simulating the human selective attention. Simulations can then be used to study situations in which a user has to interact simultaneously with multiple devices. This kind of study is particularly important in safety-critical contexts in which failures in the main task, such as driving a car or setting an infusion pump, may have serious consequences.
An algorithm for simulating human selective attention
BROCCIA, GIOVANNA
Co-primo
;Milazzo, Paolo
Co-primo
;
2018-01-01
Abstract
The brain mechanism of selective attention plays a key role in determining the success of a human’s interaction with a device. If the user has to perform concurrent tasks by interacting simultaneously with more than one device, her/his attention is directed at one of the devices at a time. Attention can therefore be seen as a shared resource, and the attentional mechanisms play the role of a task scheduler. In this paper we propose an algorithm for simulating the human selective attention. Simulations can then be used to study situations in which a user has to interact simultaneously with multiple devices. This kind of study is particularly important in safety-critical contexts in which failures in the main task, such as driving a car or setting an infusion pump, may have serious consequences.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.