A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Designing attentive interfaces
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Communications of the ACM
Introducing human-like hearing perception in intelligent virtual agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Models of bottom-up and top-down visual attention
Models of bottom-up and top-down visual attention
When emotion does not mean loss of control
Lecture Notes in Computer Science
Do you see what eyes see?: implementing inattentional blindness
Lecture Notes in Computer Science
A model of attention and interest using Gaze behavior
Lecture Notes in Computer Science
Modeling dynamic perceptual attention in complex virtual environments
Lecture Notes in Computer Science
Attentional mechanisms for interactive image exploration
EURASIP Journal on Applied Signal Processing
MIV'05 Proceedings of the 5th WSEAS international conference on Multimedia, internet & video technologies
A computational model of auditory selective attention
IEEE Transactions on Neural Networks
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Attention is defined as a mechanism that organizes and structures the operation of the person's basic cognitive processes; it has been studied from different paradigms; among them, attentional capability is related to: the quantity of stimulus a person can attend at the same time; the intensity (concentration) of his attention to them; and, the time period that this attention can be kept. We propose an attentional capability representation for Intelligent Virtual Agents (IVAs) designed with personality and emotional features through COGNITIVA. Our agent is embodied, has goals and plans to meet by performing specific actions. The proposal simulates concentration levels and intensity on performing an action, to modify agent's sensorial channels thresholds and to limit these activities according to the activation level of the organism. The aim is to provide our agent with both more believability and natural behavior, improving the user-IVA interaction and the user's presence on the system.