Authors:
Dilyana Valkova Budakova
1
;
Mariyana Ivanova Ilieva
1
and
Lyudmil Georgiev Dakovski
2
Affiliations:
1
Technical University of Sofia, Branch Plovdiv, Bulgaria
;
2
CLBME BAS, Bulgaria
Keyword(s):
Playing game, Affective databases, Accumulating and evaluation knowledge.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Mining
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Game Playing
;
Human-Computer Interaction
;
Intelligent User Interfaces
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Symbolic Systems
Abstract:
The article treats the problem of deriving and accumulating knowledge and data about people’s everyday real-world knowledge as a background for the process of learning languages through games. The development of a game and the introduction of a virtual agent–assistant into the game are supposed to increase the interest among the users, to stimulate their motivation for language practice, and, at the same time, to increase the quantity and the quality of accumulated knowledge. The results from a survey, conducted among users, have been analyzed and generalized in this paper.