Creating User Interface for Interactive Simulations

Singh, Jeetinder; Sivaswamy, Jayanthi

doi:10.1109/digitel.2010.25

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…On the basis of users' demand, the interface of system is designed as shown in Figure . It is divided into embedded browser, function controls, and scene view.…”

Section: System Architecturementioning

confidence: 99%

EasyHome: an online virtual home decoration system

Zhang

Pan

Huang

et al. 2013

Computer Animation & Virtual

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This paper provides an online virtual 7home decoration system, which integrates web interaction technique into virtual home decoration. The main functions of this system include house design, house decoration, and data management. For the house design, an automatic joint method of the walls is proposed, in order to design various house. For the house decoration, we introduce the wall decoration principle corresponding to the algorithm of discretization on the walls, which contains doors or windows, and triangularization on the irregular floors. To variety of different textures and collage regulations, we provide a new texture collage mapping method. Technology of rendering to texture is used to generate a small geometry texture, which will be mapped into a large target object on the basis of the texture's structural properties. As a result, the whole texture continuity is also maintained. In data management aspect, we embed a browser into this system so that users can conveniently obtain decoration models on the basis of web interaction. After these models have been downloaded, they can be shown in virtual scene according to guide information. In addition, some quotation lists can be generated automatically. Experimental results show that an authentic house can be easily presented in our system. Copyright © 2013 John Wiley & Sons, Ltd.

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“…On the basis of users' demand, the interface of system is designed as shown in Figure . It is divided into embedded browser, function controls, and scene view.…”

Section: System Architecturementioning

confidence: 99%

EasyHome: an online virtual home decoration system

Zhang

Pan

Huang

et al. 2013

Computer Animation & Virtual

View full text Add to dashboard Cite

show abstract

“…For the effective integration of educational games into the teaching material, Singh and Sivaswamy [2] proposed concentration on developing simple and small games instead of creating highly complex game systems where the student is then left alone to figure out the relations. Multimedia Interactive Modules for Learning -MIMLE is an E-learning system with many small education modules that comprises game elements [3].…”

Section: Introductionmentioning

confidence: 99%

The Design of the Personal Enemy - MIMLeBot as an Intelligent Agent in a Game-based Learning Environment

Kuk¹,

Milentijević²,

Ranđelović³

et al. 2017

ACTA POLYTECH HUNG

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A bot is one of the main elements of all computer video games, frequently used for the creation of various opponent characters within a game. Opponent modeling is the problem of predicting the agent actions in a gaming environment. This paper proposes and describes the implementation of a bot as a personal opponent in a small educational game. In order to increase the efficiency when using such a small educational application/module, artificial intelligence was added in the form of a bot competing with the students. Pedagogical elements of the intelligent learning system are introduced through the pedagogical model and the student model. This paper demonstrates the use of the student model to present the player model built by the experience of a human teacher, with true/false questions incorporated with the bot strategy into the opponent model. The authors use the Monte Carlo approach in this implementation, known as artificial intelligence technique and a best-first search method used in most video games, but to the best of their knowledge, it has not been used for prediction in educational games based on bot strategy. The results highlight that the Monte Carlo approach presented via the BFTree classifier provides the best classification accuracy compared with other predictive models based on data mining classifiers. It was shown that the training data from the human player can help in creating a bot strategy for a personalized game-based learning system. The Help option can be used for the assessment of the students' current knowledge by counting the number of Help option accesses, the player relies on Help as a 'source of knowledge' needed to complete the game task successfully. The obtained results show that the bot (personal opponent) stimulated players to replay the game multiple times, which may contribute to the increase of the students' knowledge.

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Creating User Interface for Interactive Simulations

Cited by 2 publications

References 5 publications

EasyHome: an online virtual home decoration system

EasyHome: an online virtual home decoration system

The Design of the Personal Enemy - MIMLeBot as an Intelligent Agent in a Game-based Learning Environment

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