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Human-AI Collaboration to Increase the Perception of VR

  • Silesian University of Technology
  • Brandon University
  • Western Norway University of Applied Sciences

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Virtual reality (VR) is gaining popularity very fast due to newer solutions that increase user perception. Glasses, sensors, and treadmills are the basic functionality for immersing yourself in a virtual environment. In this paper, we propose a human-AI collaboration for analyzing the newly generated images that can be used for creating worlds. The presented method is based on analyzing different scenes (from simulation and real environment) using generative adversarial networks (GAN) and the communication with the user for assessments of the created new environment. User’s information contributes to the analysis of sample quality and possible rebuilding or retraining of the GAN model. The proposal increases the perception of VR by taking the user’s feelings in creating new environments. For this purpose, we combine GAN with fuzzy soft sets inference to gain the possibility of retraining/remodeling the used neural network. It was examined in theoretical simulation and real-environment case study.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Proceedings
EditorsLeszek Rutkowski, Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
PublisherSpringer Science and Business Media Deutschland GmbH
Pages51-60
Number of pages10
ISBN (Print)9783031234910
DOIs
Publication statusPublished - 2023
Event21st International Conference on Artificial Intelligence and Soft Computing, ICAISC 2022 - Zakopane, Poland
Duration: 19 Jun 202223 Jun 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13588 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Artificial Intelligence and Soft Computing, ICAISC 2022
Country/TerritoryPoland
CityZakopane
Period19/06/2223/06/22

Keywords

  • Collaboration
  • Convolutional
  • Human-AI
  • Machine learning
  • Neural networks
  • Soft sets
  • Virtual reality

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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