2014
DOI: 10.4236/ijis.2013.41003
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An Affective-Motivational Interface for a Pedagogical Agent

Abstract: This research is framed within the affective computing, which explains the importance of emotions in human cognition (decision making, perception, interaction and human intelligence). Applying this approach to a pedagogical agent is an essential part to enhance the effectiveness of the teaching-learning process of an intelligent learning system. This work focuses on the design of the inference engine that will give life to the interface, where the latter is represented by a pedagogical agent. The inference eng… Show more

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Cited by 2 publications
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“…In our case, the relationships between the elements are represented by an incidence matrix M(n × n). V(t) is a vector that symbolizes the force of the concept at a given time t and V(t + 1) = S[V(t) × M(n × n)] represents the subsequent state that is equivalent to a prediction [16]- [27]; where S is a non-linear function [28]- [34] applied individually to the elements of the matrix M multiplied by the vector V(t) at a given time t. The congruence that the vector V(t + 1) has in relation to the vector V(t) indicates the performance of the reasoning [12] [35] (Tables 2-5).…”
Section: Student's Way Of Thinkingmentioning
confidence: 99%
“…In our case, the relationships between the elements are represented by an incidence matrix M(n × n). V(t) is a vector that symbolizes the force of the concept at a given time t and V(t + 1) = S[V(t) × M(n × n)] represents the subsequent state that is equivalent to a prediction [16]- [27]; where S is a non-linear function [28]- [34] applied individually to the elements of the matrix M multiplied by the vector V(t) at a given time t. The congruence that the vector V(t + 1) has in relation to the vector V(t) indicates the performance of the reasoning [12] [35] (Tables 2-5).…”
Section: Student's Way Of Thinkingmentioning
confidence: 99%
“…They are also directly related to the perception of the following variables: 1) Interest and desire to continue; 2) Help; explicitly requested or offered by the artilect; 3) Strategies; actions carried out by the artilect; 4) Interruption; on the part of the artilect; 5) Possibility of resignation; by the user; 6) Performance; regarding the evolution of the task; 7) Latency; referring to the appropriate time to respond to different situations during the teaching-learning process. All of them are considered in the representation of knowledge and in the inference engine [1] [2]. The above will be limited to a domain, the latter being the reason for teaching.…”
Section: Introductionmentioning
confidence: 99%