[This post is written by André Baart and describes his MSc thesis]
While the internet usage in the developing world is still low, the adoption of simple mobile phones is widespread. A way to offer the advantages of the internet to these populations is voice-based information systems. The KasaDaka voice-services platform is aimed at providing voice-services in the context of ICT for Development (ICT4D). The platform is based on a Raspberry Pi and a GSM modem, which enables affordable voice-service hosting, using the locally available GSM network. The platform takes into account the special requirements of the ICT4D context, such as limited internet connectivity and low literacy rates.
This research focuses on lowering the barrier to entry of voice-service development, by reducing the skill set needed to do so. A Voice Service Development Kit (VSDK) is developed that allows the development of voice-services by deploying and customizing provided building-blocks. These building blocks each represent a type of interaction that is often found in voice-services. (for example a menu, user voice input or the playback of a message) The researcher argues that the simplification of voice-service development is an essential step towards sustainable voice-services in the ICT4D context; As this increases the potential number of local voice-service developers, hremoving the dependency on foreign (and thus expensive) developers and engineers. This simplification should ideally be achieved by providing a graphical interface to voice-service development.
The VSDK was evaluated during the ICT4D course at the Vrije Universiteit Amsterdam, where students built applications for various ICT4D use-cases using the VSDK. Afterwards a survey was conducted, which provided insight on the students’ experiences with voice-service development and the VSDK. From the results of the evaluation is concluded that the building-block approach to voice-service development used in the VSDK, is successful for the development of simple voice-services. It allows newcomers to (voice-service) development, to quickly develop (simple) voice-services from a graphical interface, without requiring programming experience.
The VSDK combined with the existing KasaDaka platform provides a good solution to the hosting and development of voice-services in the ICT4D context.
More details can be found in the complete thesis.A slidedeck is included below. You can find the VSDK code on Andre’s Github: http://github.com/abaart/KasaDaka-VSDK
[This post describes research by Fahad Ali and is based on his Msc. thesis]
Contextual constraints (lack of infrastructure, low-literacy etc.) play an important role in ICT for Development (ICT4D) projects. The Kasadaka project offers a technological platform for knowledge sharing applications in rural areas in Sub-Saharan Africa. However, lack of stable internet connections restrict exchange of data between distributed Kasadaka instances, which leads us to research alternative ways of machine-to-machine (m2m) communication.
Fahad Ali’s research focuses on mobile elements and using wifi sneakernets for this m2m to enable information sharing between geographically distributed devices. He developed a Raspberry Pi-based device called the Wifi-donkey that can be mounted on a vehicle and facilitates information exchange with nearby devices, using the built-in wifi card of the rPi 3.The solution is based on Piratebox offline file-sharing and communications system built with free software and uses off-the-shelf Linux software components and configuration settings to allow it to discover and connect to nearby Kasadaka devices based using Wifi technologies.
We evaluated the solution by simulating a low resource setting and testing it by performing so-called “pass-bys” in an Amsterdam residential area. In these cases, SPARQL queries are exchanged between host and client devices and we measure amount of RDF triples transferred. This setup matches earlier case requirements as described in Onno Valkering’s work.Results show that the system works fairly reliably in the simulated setting. The machine-to-machine communication method can be used in various ICT4D projects that require some sort of data sharing functionality.
You can find out more about Fahad’s work through the following resources:
[This post describes Aschwin Stacia‘s MSc. project and is based on his thesis]
There are many online and private film collections that lack structured annotations to facilitate retrieval. In his Master project work, Aschwin Stacia explored the effectiveness of a crowd-and nichesourced film tagging platform, around a subset of the Eye Open Beelden film collection.
Specifically, the project aimed at soliciting annotations appropriate for various types of media scholars who each have their own information needs. Based on previous research and interviews, a framework categorizing these needs was developed. Based on this framework a data model was developed that matches the needs for provenance and trust of user-provided metadata.
A crowdsourcing and retrieval platform (FilmTagging) was developed based on this framework and data model. The frontend of the platform allows users to self-declare knowledge levels in different aspects of film and also annotate (describe) films. They can also use the provided tags and provenance information for retrieval and extract this data from the platform.
To test the effectiveness of platform Aschwin conducted an experiment in which 37 participants used the platform to make annotations (in total, 319 such annotations were made). The figure below shows the average self-reported knowledge levels.
The annotations and the platform were then positively evaluated by media scholars as it could provide them with annotations that directly lead to film fragments that are useful for their research activities.
Nevertheless, capturing every scholar’s specific information needs is hard since the needs vary heavily depending on the research questions these scholars have.
[This post was written by Arnold Kraakman and describes his MSc Thesis research] .
This master project is written as an advisory report for construction company and contractor K. Dekker B.V. and deals with Business Intelligence. Business Intelligence (BI) is a term that refers to information which can be used to make business decisions. The master thesis answers the question about what options are available for K. Dekker to implement BI within two years from the moment of writing. The research is done through semi-structured interviews and data mining. The interviews are used to gain a requirement list based on feedback the final users and with this list is a concept dashboard made, which could be used by K. Dekker. Having a BI dashboard is one of the solutions about what to do with their information to eventually implement Business Intelligence.
Screenshot #1 shows an overview of the current running project, with the financial forecast. Most interviewees did not know which projects were currently running and done by K. Dekker B.V. Screenshot #2 shows the project characteristics and their financial result, this was the biggest must-have on the requirements list. A construction project has different characteristics, for example a bridge, made in Noord-Holland with a specific tender procedure and a specific contract form (for example: “design the whole project and build it as well” instead of only building it). Those characteristics could influence the final financial profit.
The thesis includes specific recommendations to K. Dekker to realize BI within two years from now on. This list is also generalized to Small and Medium-sized Enterprises (SMEs). These recommendations include that work instructions are made for ERP software therefore that everyone knows what and how information has to filled into the system. With incorrect entered data, the made decisions on this information could be incorrect as well. It is also recommended to make a project manager responsible for all the entered information. This will lead to better and more correct information and therefore the finally made business decisions are more reliable.