DocumentCode :
650426
Title :
Making Mobile Users´ Devices Aware of the Surrounding Physical Environment: An Approach Based on Cognitive Heuristics
Author :
Mordacchini, Matteo ; Passarella, Andrea ; Chorley, M.J. ; Colombo, G.B. ; Tanasescu, V.
Author_Institution :
Ist. di Inf. e Telematica, Italy
fYear :
2013
fDate :
9-13 Sept. 2013
Firstpage :
199
Lastpage :
208
Abstract :
In this paper we investigate the properties of a cognitive heuristics based approach, by way of which the mobile devices of users can become aware of the physical environment surrounding them. Cognitive heuristics are the mental models used in cognitive psychology to describe how human brains efficiently process the huge amount of information constantly coming from the environment around us. As personal mobile devices represent proxies in the cyber world of their human users, we investigate how the same cognitive heuristics can be used by mobile devices to become self-aware of the features of the physical environment around their users. Specifically, we assume that physical locations are described as a network of tags. We consider a self-organising opportunistic network environment, where devices exchange information when meeting directly. We propose algorithms based on cognitive heuristics through which users´ nodes obtain tags either directly when coming in proximity of locations, or indirectly through other nodes they meet. We analyse the properties of the networks of tags resulting at individual nodes, as they emerge from this process, as a function of various cognitive parameters. We show that using cognitive heuristics leads, under the same resource constraints, to much more effective information diffusion with respect to other reference solutions. Interestingly, we find critical thresholds for key parameters that discriminate between information diffusion and information loss. Finally, we show that, despite resource constraints, the structure of the network of tags at individual nodes is remarkably close to the ideal that would be obtained with infinite resources.
Keywords :
cognitive systems; learning (artificial intelligence); mobile computing; neural nets; cognitive heuristics; cognitive parameters; cognitive psychology; cyber world; human memory organisation model; information diffusion; information exchange; information loss; mental model; mobile user devices; network structure; personal mobile devices; physical locations; resource constraints; self-organising opportunistic network environment; surrounding physical environment; user nodes; Cognitive heuristics; Mobile networks; Self-awareness; Techno-human systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Self-Adaptive and Self-Organizing Systems (SASO), 2013 IEEE 7th International Conference on
Conference_Location :
Philadelphia, PA
ISSN :
1949-3673
Type :
conf
DOI :
10.1109/SASO.2013.38
Filename :
6676507
Link To Document :
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