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.
2018
9783319747804
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/943549
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