An AI and virtual reality-based computational model to simulate olfactory responses: proposing a research strategy

The combination of artificial intelligence and immersive technologies has the potential of enhancing olfactory experiences. This work proposes a research strategy for developing design guidelines for a computational model that integrates artificial intelligence and virtual reality technologies to simulate olfactory responses. We will follow the design science research approach, which will include a literature review, the development of design guidelines, and their evaluation. By leveraging machine learning algorithms and sensory data, the project seeks to optimize the perception and delivery of scents. The outcomes will contribute to creating more personalized and immersive olfactory experiences, potentially transforming industries such as perfumery and virtual reality.

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Publication Details

Published
2024-09-30
DOI
https://doi.org/10.5753/svr_estendido.2024.244755
Primary Topic
Olfactory and Sensory Function Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

An AI and virtual reality-based computational model to simulate olfactory responses: proposing a research strategy

Ingrid Winkler, Yasmim Thasla Santos Ferreira, Alexandre Gomes de Siqueira, Carolina Horta Andrade
Olfactory and Sensory Function Studies
article

An AI and virtual reality-based computational model to simulate olfactory responses: proposing a research strategy

Ingrid Winkler, Yasmim Thasla Santos Ferreira, Alexandre Gomes de Siqueira, Carolina Horta Andrade
article en

Abstract

The combination of artificial intelligence and immersive technologies has the potential of enhancing olfactory experiences. This work proposes a research strategy for developing design guidelines for a computational model that integrates artificial intelligence and virtual reality technologies to simulate olfactory responses. We will follow the design science research approach, which will include a literature review, the development of design guidelines, and their evaluation. By leveraging machine learning algorithms and sensory data, the project seeks to optimize the perception and delivery of scents. The outcomes will contribute to creating more personalized and immersive olfactory experiences, potentially transforming industries such as perfumery and virtual reality.

Mathematics Research Center (MX), Serviço Nacional de Aprendizagem Industrial (BR), Private University in the Principality of Liechtenstein (LI), Aga Khan Foundation (US)
Ministério da Ciência, Tecnologia e Inovação, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado da Bahia, Empresa Brasileira de Pesquisa e Inovação Industrial
Industry, innovation and infrastructure
Openalex Percentile: Top 84%
Olfactory and Sensory Function Studies
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An AI and virtual reality-based computational model to simulate olfactory responses: proposing a research strategy — Ingrid Winkler, Yasmim Thasla Santos Ferreira, et al. · (2024) | TGRS Research Map | TGRS