Human linguistic perception of distances for location-aware systems

Olowolayemo, Akeem and Mantoro, Teddy (2019) Human linguistic perception of distances for location-aware systems. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 10 (2). pp. 19-41. ISSN 1937-9412 E-ISSN 1937-9404

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Abstract

Location referencing relative to landmarks or between two points of interest is often presented by navigation systems (e.g., GPS, Google Maps) in quantitative terms (e.g., 100m, 2km, etc.). However, humans refer to distances between points of interests in linguistic forms, such as very close, far, almost there, nearby, etc. When location information is presented to humans in quantitative terms, they often reprocess the quantities into linguistic terms and articulate it in linguistic labels because quantitative articulations are not directly in line with the natural human cognition. Therefore, this research seeks to evaluate the possibility of applying perceptive computing to reprocess quantitative location references from landmarks or two points of interest into linguistic labels easily understood by humans. A comparative analysis between the perception of quantitative distances and similar physical distances in an environment familiar to the subjects has been carried out, and there is a clear disparity between the perceptions in these two contexts.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Assistive Technology, Blind Navigation, Human-Computer Interaction, Indoor Location Authority, Indoor Navigation, Indoor Positioning, Location-Based Services
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr Akeem Olowolayemo
Date Deposited:	30 Dec 2021 16:33
Last Modified:	30 Dec 2021 16:33
URI:	http://irep.iium.edu.my/id/eprint/95739

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