AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
How to
Here you can find the complete list of our publications.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2024
White, M.; Banerjee, N. K.; Banerjee, S.
VRcabulary: A VR Environment for Reinforced Language Learning via Multi-Modular Design Proceedings Article
In: Proc. - IEEE Int. Conf. Artif. Intell. Ext. Virtual Real., AIxVR, pp. 315–319, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835037202-1 (ISBN).
Abstract | Links | BibTeX | Tags: 'current, E-Learning, Foreign language, Immersive, Instructional modules, Language learning, Modular designs, Modulars, Multi-modular, Reinforcement, Second language, Virtual Reality, Virtual-reality environment
@inproceedings{white_vrcabulary_2024,
title = {VRcabulary: A VR Environment for Reinforced Language Learning via Multi-Modular Design},
author = {M. White and N. K. Banerjee and S. Banerjee},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187241160&doi=10.1109%2fAIxVR59861.2024.00053&partnerID=40&md5=4d8ff8ac5c6aa8336a571ba906fe0f5d},
doi = {10.1109/AIxVR59861.2024.00053},
isbn = {979-835037202-1 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. - IEEE Int. Conf. Artif. Intell. Ext. Virtual Real., AIxVR},
pages = {315–319},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {We demonstrate VRcabulary, a hierarchical modular virtual reality (VR) environment for language learning (LL). Current VR LL apps lack the benefit of reinforcement presented in typical classroom environments. Apps either introduce content in the second language and lack retention testing, or provide gamification without an in-environment instructional component. To acquire reinforcement of knowledge, the learner needs to visit the app multiple times, increasing the potential for monotony. In VRcabulary, we introduce a multi-modular hierarchical design with 3 modules - an instructional module providing AI-generated audio playbacks of object names, a practice module enabling interaction based reinforcement of object names in response to audio playback, and an exam module enabling retention testing through interaction. To incentivize engagement by reducing monotony, we keep the designs of each modules distinct. We provide sequential object presentations in the instructional module and multiple object assortments in the practice and exam modules. We provide feedback and multiple trials in the practice module, but eliminate them from the exam module. We expect cross-module diversity of interaction in VRcabulary to enhance engagement in VR LL. © 2024 IEEE.},
keywords = {'current, E-Learning, Foreign language, Immersive, Instructional modules, Language learning, Modular designs, Modulars, Multi-modular, Reinforcement, Second language, Virtual Reality, Virtual-reality environment},
pubstate = {published},
tppubtype = {inproceedings}
}
We demonstrate VRcabulary, a hierarchical modular virtual reality (VR) environment for language learning (LL). Current VR LL apps lack the benefit of reinforcement presented in typical classroom environments. Apps either introduce content in the second language and lack retention testing, or provide gamification without an in-environment instructional component. To acquire reinforcement of knowledge, the learner needs to visit the app multiple times, increasing the potential for monotony. In VRcabulary, we introduce a multi-modular hierarchical design with 3 modules - an instructional module providing AI-generated audio playbacks of object names, a practice module enabling interaction based reinforcement of object names in response to audio playback, and an exam module enabling retention testing through interaction. To incentivize engagement by reducing monotony, we keep the designs of each modules distinct. We provide sequential object presentations in the instructional module and multiple object assortments in the practice and exam modules. We provide feedback and multiple trials in the practice module, but eliminate them from the exam module. We expect cross-module diversity of interaction in VRcabulary to enhance engagement in VR LL. © 2024 IEEE.