Work

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

Year: 2024

Type: conference-paper

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.

DOI: 10.5753/svr_estendido.2024.244755

Authors: Yasmim Thasla Santos Ferreira, Alexandre Gomes de Siqueira, Carolina Horta Andrade, Ingrid Winkler

Institutions: Serviço Nacional de Aprendizagem Industrial, Universidade SENAI CIMATEC, Private University in the Principality of Liechtenstein, Universidade Federal de Goiás

Language: English

Topic: Virtual Reality Applications and Impacts

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funders: 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

Award: G7673122410

OpenAlex ID: W4403394423

FWCI:

Cites: 13

Cited by:

Related to: 10