Amplifying Language Learning Effects with Olfactory-Enhanced Virtual Reality: An Empirical Study

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Language learning, intrinsic to human cognitive development, has historically been rooted in conventional methodologies. Nevertheless, the technological renaissance introduces novel avenues, with Virtual Reality (VR) standing out as a revolutionary medium for immersive linguistic experiences. However, the expansive sensory potential of VR, significantly beyond visual and auditory stimuli, still needs to be explored. This research breaks new ground by integrating the olfactory dimension into VR-based language learning, centering on German vocabulary acquisition. The study embarks on a journey to unveil the latent potential of olfactory-enhanced VR in language pedagogy, offering insights into the cognitive intricacies of learners. Recognizing the profound influence of multisensory experiences on retention, the research introduces a novel categorization of learning methodologies: conventional learning, traditional VR, and VR + Olfactory. Each modality’s distinct attributes are meticulously detailed, reflecting the diverse use case of learners. The research’s paramount contribution lies in its pioneering approach to multisensory learning. By championing the olfactory dimension, it underscores the need for holistic learning experiences that cater to all human senses. Furthermore, the study sets a precedent for future research, advocating for the seamless integration of technology and pedagogy. This research work confronts established paradigms in language learning and sheds light on future advancements at the intersection of education and human-computer interaction, particularly focusing on the integration of olfactory interfaces.

Cite

CITATION STYLE

APA

Xia, L., Qin, Y., & Fan, J. (2024). Amplifying Language Learning Effects with Olfactory-Enhanced Virtual Reality: An Empirical Study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14724 LNCS, pp. 190–204). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-61691-4_13

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free