KNN-based adaptive virtual reality game system

Aaron Johnson, Ying Tang, Christopher Franzwa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

There is an increasing awareness that more and more students are not able to achieve learning successfully in a 'one-size-fit-all' model with minimal, identical instructions to every student in a given class. Our research contention is that offering differentiated instructions that better fit students' educational needs in a narrative virtual reality (VR) environment will give them renewed hope for learning success. Therefore, the paper presents an adaptive VR game framework based on kNN classification. The system monitors the player's in-game behavior, collects a corpus of his actions to systematically assess his domain knowledge and potential difficulties, and responsively provides explicit or in situ support that is precisely tailored to his needs. An empirical evaluation demonstrates that the kNN-based game system accurately predicts players' domain knowledge levels on which it offers differentiated instructions to guide them through the problem-solving in the game.

Original languageEnglish (US)
Title of host publicationProceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
PublisherIEEE Computer Society
Pages457-462
Number of pages6
ISBN (Print)9781479931064
DOIs
StatePublished - Jan 1 2014
Event11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014 - Miami, FL, United States
Duration: Apr 7 2014Apr 9 2014

Publication series

NameProceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014

Other

Other11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
CountryUnited States
CityMiami, FL
Period4/7/144/9/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'KNN-based adaptive virtual reality game system'. Together they form a unique fingerprint.

Cite this