Introducing human-like hearing perception in intelligent virtual agents

Herrero, Pilar; Antonio, Angélica de

doi:10.1145/860690.860693

Cited by 7 publications

(20 citation statements)

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“…Thus by controlling their position, orientation, distance, etc., the objects are able to modify their interaction and communication (Greenhalgh, 1994). (Herrero, 2003) As it was mentioned before, the model itself defines five linked concepts: medium, awareness, aura, focus and nimbus (see Fig. 1 and 2):…”

Section: Spatial Model Of Interaction (Smi)mentioning

confidence: 99%

“…This area is called Nimbus: "The more an object is within your nimbus the more aware the object is of you". (Herrero, 2003) Therefore, awareness between objects in a given medium is manipulated via Focus and Nimbus, requiring a negotiation process. Considering, for example, A's awareness of B, the negotiation process combines the observer's (A's) focus and the observer's (B's) nimbus.…”

Section: Spatial Model Of Interaction (Smi)mentioning

confidence: 99%

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Artificial Neural Network for Cooperative Distributed Environments

Paletta¹

2011

Artificial Neural Networks - Application

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Section: Spatial Model Of Interaction (Smi)mentioning

confidence: 99%

Section: Spatial Model Of Interaction (Smi)mentioning

confidence: 99%

Artificial Neural Network for Cooperative Distributed Environments

Paletta¹

2011

Artificial Neural Networks - Application

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“…We have selected the two most useful senses: sight and hearing and we have analysed some human perception key concepts to determine which of them could be introduced in our agent's perceptual model. These concepts, selected for being the more representative of human visual and hearing perception, are [3,4]: • Sense Acuity: It is a measure of the sense's ability to resolve fine details In a visual medium, it is known as Visual Acuity. In a hearing medium, it is know as Auditory Acuity There are two different kinds of auditory acuity: spatial acuity and frequency acuity.…”

Section: Making the Perceptual Model More Human-likementioning

confidence: 99%

“…The Sensitive Perception module simulates the typical perceptual process by which organisms receive sensations from the environment, depending on some relevant sensorial concepts. More details of this design and its implementation are given in [3,4]. The IVA's sensitive perception module will calculate what we have called Clarity of Perception, taking into account the focus of the IVA and the nimbus of those objects that are surrounding this agent.…”

Section: Clarity Of Perceptionmentioning

confidence: 99%

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Modelling Intelligent Virtual Agent Skills with Human-Like Senses

Herrero

Antonio

2004

Computational Science - ICCS 2004

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Abstract. The research work presented in this paper represents a significant advance, specifically in the area of perception, within the multidisciplinary field of Intelligent Virtual Agents (IVAs) and multi-Intelligent Virtual Agent Systems (mIVAS) .Within the cognitive research area there are some studies underwriting that human perception can be understood as a first level of an "awareness model". Bearing in mind these researches, we have developed a human-like perceptual model based on one of the most successful awareness models in Computer Supported Cooperative Work (CSCW), called the Spatial Model of Interaction (SMI), which has been applied to Collaborative Virtual Environments (CVEs). This perceptual model extends the key concepts of the SMI introducing some human-like factors typical from human being perception as well as it makes a reinterpretation with the aim of using them as the key concepts of a IVA's human-like perceptual model.

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Fundamentals of Agent Perception and Attention Modelling

Peters

Castellano

Rehm

et al. 2010

Cognitive Technologies

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Perception and attention mechanisms are of great importance for entities situated within complex dynamic environments. With roles extending greatly beyond passive information services about the external environment, such mechanisms actively prioritise, augment and expedite information to ensure that the potentially relevant is made available so appropriate action can take place. Here, we describe the rationale behind endowing artificial entities, or virtual agents, with real-time perception and attention systems. We cover the fundamentals of designing and building such systems. Once equipped, the resulting agents can achieve a more substantial connection with their environment for the purposes of reacting, planning, decision making and, ultimately, behaving.

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Introducing human-like hearing perception in intelligent virtual agents

Cited by 7 publications

References 0 publications

Artificial Neural Network for Cooperative Distributed Environments

Artificial Neural Network for Cooperative Distributed Environments

Modelling Intelligent Virtual Agent Skills with Human-Like Senses

Fundamentals of Agent Perception and Attention Modelling

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