Home // GEOProcessing 2023, The Fifteenth International Conference on Advanced Geographic Information Systems, Applications, and Services // View article
User-Generated Voice Navigation Editing System Using Block-Type Visual Programming Language
Authors:
Daisuke Yamamoto
Hiroki Sekiya
Shinsuke Kajioka
Keywords: geographic information systems; user-generated content; voice interaction systems; voice navigation
Abstract:
Voice navigation systems on smartphones have become widespread in recent years. However, existing systems only provide one-way voice navigation based on uniform, machine-generated navigation instructions. It would be beneficial to have tourism navigation and two-way voice interaction, alongside normal navigation, for use in tourist hotspots. It is difficult to automatically generate interactive sentences for use in dialogue with map data alone. Therefore, this study aimed to create an environment in which users with knowledge of a given area can easily create voice navigation content. Google Blockly, a widely used block-type visual programming language, is extended and matched with map nodes (called “spots” in this paper) and links to produce a mechanism for achieving navigation at the spot level. Furthermore, a two-way voice navigation system is achieved by implementing a mechanism to convert from user-generated content to a format for voice interaction systems. The usefulness of the proposed system was evaluated by conducting experiments with a prototype system.
Pages: 44 to 50
Copyright: Copyright (c) IARIA, 2023
Publication date: April 24, 2023
Published in: conference
ISSN: 2308-393X
ISBN: 978-1-68558-079-7
Location: Venice, Italy
Dates: from April 24, 2023 to April 28, 2023