Wang, Jia ORCID: https://orcid.org/0000-0003-4379-9724 and Li, Rui (2019) Sketch maps and verbal descriptions in structuring space. In: Geospatial Technologies for All. Selected Papers of the 21th AGILE Conference on Geographic Information Science. AGILE.

Preview

PDF (Author Accepted Manuscript) 19725 WANG_Sketch_Maps_and_Verbal_Descriptions_2018.pdf - Accepted Version Download (1MB) | Preview

Abstract

This paper reports the preliminary results of a study that aims at designing an intelligent navigation system providing automated scene descriptions and effective directions for a wayfinder. In general, there are two ways for humans to communicate about a route and its surroundings, which are verbal descriptions and graphic depictions (for instance sketch maps). Spatial preposition in language and spatial arrangement of depicted objects reflect how humans select and localise spatial objects relating to a route in navigation. This information is critical to the development of an effective cognitive model for an intelligent navigation system. An experiment including two different sizes of environments was carried out. Participants were asked to provide route instructions using both sketch maps and verbal directions. The comparisons of the two types of route instructions focus on spatial disposition and are based on the linguistic conceptual framework proposed by Talmy. The results demonstrate the basic distinctions of geometry and spatial relation in structuring a walking space.

Item Type:	Conference Proceedings
Title of Proceedings:	Geospatial Technologies for All. Selected Papers of the 21th AGILE Conference on Geographic Information Science
Additional Information:	Presented at AGILE 21st Conference on Geo-information Science. Lund, Sweden. 12 - 15 June 2018.
Uncontrolled Keywords:	sketch map, verbal description, navigation, language, Ground, Figure
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Liberal Arts & Sciences > Greenwich GI Science Research Group Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Related URLs:	Publisher
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/19725

Actions (login required)

View Item

Downloads