Year: 2007
Type: dissertation
Abstract: The aim of the work in this thesis is to develop a new approach of interacting with adhoc\nnetworked environments. These are networks where devices connect on demand\nwith no underlying network infrastructure. The intention of this work is to develop\nthese environments so that devices and services on these networks can publish their\nservices, query for other services and connect with each other when required. The\ndevices need to be able to perform these actions without prior knowledge of each\nother, therefore a theory of communication, semiotics, is presented. Ad-hoc networks\nprovide an appropriate test-bed for this application of semiotics as they allow services\nto `know' about each other and communicate with one another. By using semiotics,\nwe aim to create a representation of communication that allows a system to communicate\nwithin the networked environment and ask for services and connections as well\nas interact with users and provide. This way a user can demand something from the\nsurrounding environment and the elements within this environment can communicate\nwith each other to provide the service the user required. To create an effective model\nfor this representation, various research areas will be discussed such as smart environments,\nnatural language processing, multicast environments and human computer\ninteraction. Principles will be used from all these areas to implement an approach of\ninteracting with smart environments. Different types of smart environments, such as\nas smart homes and m-commerce environments, will be used to observe how di erent\ncontexts a ect communication. A prototype system was realised for proof of concept\nand evaluated by subjects. This work highlighted the feasibility of this approach and\nopened a new area worthwhile of further research.
Author: Lezan Hawizy
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W560470754