Crowdsourcing through Cognitive Opportunistic Networks
- URL: http://arxiv.org/abs/2109.14946v1
- Date: Thu, 30 Sep 2021 09:19:02 GMT
- Title: Crowdsourcing through Cognitive Opportunistic Networks
- Authors: M. Mordacchini, A. Passarella, M. Conti, S.M. Allen, M.J. Chorley,
G.B. Colombo, V. Tanasescu and R.M. Whitaker
- Abstract summary: opportunistic networking (ON) has opened up crowdsourcing to the spatial domain.
We introduce cognitive features to the ON that allow users' mobile devices to become aware of the surrounding physical environment.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Untile recently crowdsourcing has been primarily conceived as an online
activity to harness resources for problem solving. However the emergence of
opportunistic networking (ON) has opened up crowdsourcing to the spatial
domain. In this paper we bring the ON model for potential crowdsourcing in the
smart city environment. We introduce cognitive features to the ON that allow
users' mobile devices to become aware of the surrounding physical environment.
Specifically, we exploit cognitive psychology studies on dynamic memory
structures and cognitive heuristics, i.e. mental models that describe how the
human brain handle decision-making amongst complex and real-time stimuli.
Combined with ON, these cognitive features allow devices to act as proxies in
the cyber-world of their users and exchange knowledge to deliver awareness of
places in an urban environment. This is done through tags associated with
locations. They represent features that are perceived by humans about a place.
We consider the extent to which this knowledge becomes available to
participants, using interactions with locations and other nodes. This is
assessed taking into account a wide range of cognitive parameters. Outcomes are
important because this functionality could support a new type of recommendation
system that is independent of the traditional forms of networking.
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