What: Master Thesis – “Visual Trend Analysis on Digital Semantic Library Data for Innovation Management”
The amount of scientific data published online has been witnessing massive growth in the recent years. This has led to exponential growth in the amount of data stored in digital libraries (DLs) such as springer, eurographics, digital bibliography and library Project (dblp), etc. One of the major challenges is to prevent users from getting lost in irrelevant search results, when they try to retrieve information in order to get meaningful insights from these digital libraries. This problem is known as information overload. Other challenge is the quality of data in digital libraries. A quality of data can be affected by factors such as missing information, absence of links to external databases or data is not well structured, and the data is not semantically annotated. Apart from data quality, one more challenge is the fact that, there are tools available which help users in retrieving and visualizing the information from large data sets, but these tools lack one or the other basic requirements like data mining, visualizations, interaction techniques etc. These issues and challenges have led to increase in the research in the field of visual analytics, it is a combination of data processing, information visualization, and human computer interaction disciplines.
The main goal of this thesis is to overcome the information overload problem and the challenges mentioned above. This can be achieved by using digital library named SciGraph by springer, which serves as a very rich source of semantically annotated data. The data from SciGraph can be used in combination with data integration, data mining and information visualization techniques in order to aid users in decision making process and perform visual trend analysis on digital semantic library data. This concept would be designed and developed as a part of innovation management process, which helps transforming innovative ideas into reality using a structured process.
In this thesis, a conceptual model for performing visual trend analysis on digital semantic library data as part of innovation management process had been proposed and implemented. In order to create the conceptual model, several disciplines such as human computer interaction, trend detection methods, user centered design, user experience and innovation management have been researched upon. In addition, evaluation of various information visualization tools for digital libraries has been carried out in order to find out and address the challenges faced by these tools. The conceptual model proposed in this thesis, combines the usage of semantic data with information visualization process and also follows structured innovation management process, in order to ensure that the concept and implementation (proof of concept) are valid, usable and valuable to the user.
Professor Nazemi represented the Research Group on Human-Computer Interaction and Visual Analytics at the first “Global Strategic Alliance” hosted by the Coventry University. The fruitful discussions on various topics led to new research networks and potential research topics. Attendees were from the Coventry University, Purdue University, Dublin Institute of Technology, University of Wisconsin Stout, Lucerne University of Applied Science and Darmstadt University of Applied Sciences. For impressions and discussions see here.
Where: Coventry University, UK
When: 22. and 23. October 2018
When: 26/06/2018 16:00
Where: Frauhofer IGD, Fraunhoferstr. 5, Room 324
Who: Akshay Madhav Deshmukh (Author), Dipl.-Inf. Dirk Burkhardt (Coordinator/Co-Supervisor), Prof. Dr. Arjan Kuijper (Supervisor)
What: Master Thesis – “Automated User Evaluation Analysis for a Simplified and Continuous Software Development”
In today’s world, computers are tightly coupled with the internet and play a vital role in the development of business and various aspects of human lives. Hence, developing a quality user-computer interface has become a major challenge. Well-designed programs that are easily usable by users are moulded through a regress development life cycle. To ensure a user friendly interface, the interface has to be well designed and need to support smart interaction features. User interface can become an Archilles heel in a developed system because of the simple design mistakes which causes critical interaction problems which eventually leads to massive loss of attractiveness in the system. To overcome this problem, regular and consistent user evaluations have to be carried out to ensure the usability of the system.
The importance of an evaluation for the development of a system is well known. Most of the today’s existing approaches necessitate the users to carry out an evaluation in a laboratory. Evaluators are compelled to dedicate the time in informing the participants about the evaluation process and providing a clear understanding of the questionnaires during the experiment. At the post experiment phase, evaluators have to invest a huge amount of time in generating a result report. On the whole, most of the today’s existing evaluation approaches hogs up too much of time for most developments.
The main aim of this thesis is to develop an automated evaluation management and result analysis, based on a previous developed web-based evaluation system, which enables to elaborate the evaluation results and identify required changes on the developed system. The major idea is that an evaluation can be prepared once and repeated in regular time intervals with different user groups. The automated evaluation result analysis allows to easily check if the continued development lead to better results and if a bunch of given task could be better solved e.g. by added new functions or through enhanced presentation.
Within the scope of this work, Human-Computer Interaction (HCI) was researched, in particular towards User-Centered Design (UCD) and User Evaluation. Different approaches for an evaluation were researched in particular towards an evaluation through expert analysis and user participation. Existing evaluation strategies and solutions, inclined towards distributed evaluations in the form of practical as well as survey based evaluation methods were researched. A proof of concept of an automated evaluation result analysis that enables an easy detection of gaps and improvements in the system was implemented. Finally, the results of the research project Smarter Privacy were compared with the manual performed evaluation.
At the EFST Summer School 2018 (from 18th to 22nd of June) on the University of Split Prof. Nazemi gives lectures on “Intelligent Visualizations in Future Policy Modelling” and “Data Analysis for eGovernance and eParticipation”. The lectures are a summary of current researches in this field as well as gained results in national and European research project on e-Government actions for Cities.
The concepts of Smart and Intelligent Cities constitute a breakthrough in contemporary urban development and management. The Smart City notion has gained much popularity in the past years, but recently also the concept of Intelligent City – base on cognitive, learning and knowledge principles – has become en vogue. They prompted not also many debates but also many urban planning initiatives informed and influenced by rapid development of smart technologies and growing interest in digital transformation of public services. By presenting the most prominent challenges of these concepts and enabling technologies, participants will get an opportunity to understand and contribute to the challenges faced by modern cities and to explore more efficient solutions resulting from swift technology development and digital transformation initiatives in this specific context.
The Summer School offers a unique opportunity to learn and discuss about structures, actors, processes and challenges of regional and urban development and management in dialogue with international academic experts and practitioners. This will be achieved through lectures from leading academics and experts in the field.
In time from 18th to 19th of June 2018 the Faculty of Economics, Business and Tourism of the University of Split (Croatia) initiate a project workshop on “User-oriented process (re)design and information systems modelling – a case of smart city services”. The scientific community discusses about benefits and challenge in using modern technology in smart cities.
As lecturer Prof. Nazemi was invited to contribute about Data Mining and Visual Analytics in smart city administrations, among other, to consider citizens opinions and ideas in governance processes.
More information to the Project: http://smartcity.efst.hr