Context based content aggregation for Social Life Networks

Better decisions can be made in the profession of the users if they can filter out the relevant information from all the available information sources. The mass availability of the mobile devices has enabled the users to quickly access timely information from any location. The aim of this work is to identify a suitable way to provide timely information in context by capturing contextual information through the mobile device, to support the activities of the user. The context model tries to identify the context of the user by identifying the task being performed by the user. The system is aware of the information need and the information source for each task of the user and the relevant information is filtered out of the information source, by using the users context. The context model was designed and tested for the farming domain, to support the livelihood activities of the farmer, by extending the concepts of Social Life Networks. Social Life Networks aggregates information from various sensors on a mobile phone, other published data sources and micro blogs such as Twitter to detect evolving situations and make that information available to the users in real time. This initial prototype was evaluated with a sample of farmers to check usefulness of provided information and usability of the application in order to support their day to day decision making process. The sample group strongly endorsed the various aspects of the proto-type application and provided valuable insights for improvement. The current application is a specific instance of the SLN project and we plan to create more application for SLN to test and refine the context models

Towards an agriculture knowledge ecosystem :A social life network for farmers in Sri Lanka

We have developed and successfully trialled a Social Life Network (SLN); a Mobile Based Information System to support farming activities in Sri Lanka. It provides information required to support activities such as crop selection and cultivation planning in the context of farmer, farm location, season and task being performed. The system also provides a facility for farmers to sell farming related products and services to other farmers. The final system architecture evolved through a series of iterative relevance and design cycles based on Design Science Research methodology. In the first relevance cycle we identified farmer information needs, their current decision making patterns, and some possible ways to enhance their decision making process. In the first design cycles we developed the initial prototype to visualise a possible solution and in subsequent cycles a crop ontology to reorganise published crop information that would be queried in context and processes to empower farmers. Next we went through 2 cycles of creating functional prototypes, field testing with farmers and improving these to arrive at the final system. We noted that this system can enhance the flow of information in the agriculture domain by aggregating or disaggregating information produced by some stakeholders to be consumed by others. Based on this observation the overall architecture was reconceptualised as a Digital Knowledge Ecosystem

Context based content aggregation for Social Life Networks

It is extremely useful to have right information at the right time. Social Life Networks (SLN) extend the capabilities of current social networks by combining them with the technological advances now found in Smartphones that include myriad of sensors and multimedia input and output capabilities to provide essential information to support livelihood activities. The challenge is to provide this information within the required context. For this we need to model the context by acquiring the physical data to provide meaningful abstractions with respect to the application domain and the needs of the users. We have developed a physical context model based on user profile, location, time and activity and a mapping to match the logical context of various data sources from which we can get the required information. Based on this model we have developed a SLN for farmers in Sri Lanka to provide agricultural information in the context of farming life cycle stages, location of their farm land, cultivation season and other economic parameters. In the field trails there was unanimous agreement among farmers that this application is very useful for them because they were able to get the required information in context

Task oriented context models for social life networks

Better decisions can be made in the profession of the users if they can easily access and filter out the relevant information from all available information sources. The mass availability of the mobile devices has enabled the users to quickly access timely information from any location. We have developed a novel approach to provide timely information in context by capturing contextual information. We developed a model to identify the context of the user by identifying the task being performed. The system through the domain experts, is aware of the information need and the information source for each task of the user and the relevant information is filtered from the information source, by using the users context. The context model was designed and tested for the farming domain, to support the livelihood activities of the farmer, by extending the concepts of social life networks

Digital knowledge ecosystem for empowering users to self-manage diabetes through context specific actionable information

Current high numbers of diabetes patients worldwide and the associated cost indicates current approaches to managing this chronic disease is not effective. The literature indicates the need to provide context specific actionable information to these patients to better manage diabetes which is not happening at present. Making use of wide spread digital connectivity now available due to rapid growth of mobile phone usage and concept of Digital Knowledge Ecosystem to enhance flow of information within a domain we applied scenario based design approach to develop a new scenario for better manage diabetes. The transformed scenario captures the current life situation such as exercise, food and emotional habit of the patient on a day to day basis using mobile application and sensor devices. This collected information is aggregated and provided to the care provider, allowing the care provider to understand which advice has been successfully followed and which of the advices need to be modified to suit the needs of the patient. The care provider can set up modified advice as protocols through the system. The protocols are then used by the system based on the context to generate the set of daily actions that the patient has to perform. We also developed the initial set of user interfaces to support the transformed scenario. Thus we have shown that conceptually now it is possible to have a new scenario to better manage diabetes overcoming deficiencies reported in literature of the current scenario

Building digital knowledge system through mobile interfaces : the case study of mobile application for diabetes management

Very high adoption of mobile phones enables the possibility of using mobile phones to empower type 2 diabetes patients to self manage their diabetic condition by providing timely information in right context through the mobile application, thus facilitating them to make informed decisions. Having identified the lack of such information is badly affecting type 2 patients we embarked on a project to develop a mobile-based information system. Iterative development of interfaces for the mobile application was carried out and its relevance evaluated

Architecture for mobile based information system that empowers users to self-manage type 2 diabetes

Very high adoption of mobile phones enables the possibility of using mobile phones to empower type 2 diabetes patients to self-manage their diabetic condition by providing timely information in right context through the mobile application, thus facilitating them to make informed decisions. Having identified the lack of such information is badly affecting type 2 patients we embarked on a project to develop a mobile-based information system. We have developed an architecture for a mobile application that can help in empowering users to self-manage type 2 diabetes. We have received positive feedbacks from patients and health care provider after carrying out the evaluation of the application

A framework to generate actionable information for mobile based information system that empowers users to self-manage type 2 diabetes

Very high mobile phone adoption makes it possible to use mobile phones to empower patients with type 2 diabetes to self-manage their diabetic condition. The mobile application allows patients to make informed choices by providing appropriate information in the right context. We present a framework that can generate actionable information for such a mobile application and the result of evaluation of the generated actionable information provided by a group of 15 patients and 8 health care providers. We have received positive feedbacks from patients and health care provider after carrying out the evaluation of the application

Interplay of Requirements Engineering and Human Computer Interaction Approaches in the Evolution of a Mobile Agriculture Information System

Part 4: ApplicationsInternational audienceVery high adoption of mobile phones in developing countries can be used to empower people engaged in various sectors such as agriculture, fisheries and healthcare by providing timely information in right context, thus facilitating them to make informed decisions. Having identified lack of such information is badly affecting farmers in Sri Lanka we embarked on a project to develop a mobile based agriculture information system. We had to combine different theories and methods both from Requirements Engineering (RE) and Human Computer Interaction (HCI) on a need basis to successfully gather the requirements. When we retraced the process we saw a definitive systematic pattern as to how RE and HCI can be used to enrich such an artefact; highlighting the strong interplay between RE and HCI. Discovery of this pattern enabled us to generalise the process

Towards an agriculture knowledge ecosystem : a social life network for farmers in Sri Lanka

We have developed and successfully trialled a Social Life Network (SLN); a Mobile Based Information System to support farming activities in Sri Lanka. It provides information required to support activities such as crop selection and cultivation planning in the context of farmer, farm location, season and task being performed. The system also provides a facility for farmers to sell farming related products and services to other farmers. The final system architecture evolved through a series of iterative relevance and design cycles based on Design Science Research methodology. In the first relevance cycle we identified farmer information needs, their current decision making patterns, and some possible ways to enhance their decision making process. In the first design cycles we developed the initial prototype to visualise a possible solution and in subsequent cycles a crop ontology to reorganise published crop information that would be queried in context and processes to empower farmers. Next we went through 2 cycles of creating functional prototypes, field testing with farmers and improving these to arrive at the final system. We noted that this system can enhance the flow of information in the agriculture domain by aggregating or disaggregating information produced by some stakeholders to be consumed by others. Based on this observation the overall architecture was reconceptualised as a Digital Knowledge Ecosystem