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Me-Friends-Web (MFW): A model for navigation assistance through social navigation networks

Karimi, HA (2011) Me-Friends-Web (MFW): A model for navigation assistance through social navigation networks. In: UNSPECIFIED.

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Abstract

Modern navigation systems/services are computationally sophisticated gadgets capable of assisting people with mobility in locations where digital road network maps are available. However, despite much advancements in navigation systems/services, they fall short of handling common constraints (e.g., individual preferences, indoor navigation, multimodal transportation, etc.) or the needs of people with specific limitations (e.g., wheelchair users, elderly, etc). Increasing the scope of navigation assistant goes beyond just adding more data or improving existing algorithms, rather new perspectives in requesting and receiving navigation assistance are needed. In this paper, we present a social networking perspective in navigation assistance in which members of the social network can share their navigation experiences. We discuss a navigation network system, called SoNavNet, and a model for it which integrates knowledge and experiences of the user (called "Me"), knowledge and experiences of friends through social networks (called "Friends "), and computation and information available through the Web (called "Web "). The model is called Me-Friends-Web (MFW) and its goal is to overcome the shortcomings of modern navigation systems/services and facilitate personalized navigation assistance. © 2011 ICST.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Karimi, HAhkarimi@pitt.eduHKARIMI0000-0001-5331-5004
Date: 1 December 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: ColiaborateCom 2011 - Proceedings of the 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing
Page Range: 430 - 435
Event Type: Conference
DOI or Unique Handle: 10.4108/icst.collaboratecom.2011.247153
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Library and Information Science
Refereed: Yes
ISBN: 9781936968367
Date Deposited: 07 Jul 2012 13:40
Last Modified: 31 Jul 2020 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/12753

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