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Sibgha Nazir defended her Master Thesis on Visual Analytics on Enterprise Reports for Investment and Strategical Analysis

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In her thesis, Sibgha Nazir created a visual analytical approach to analyze annual financial reports in the perspective of investors’ interests. The goal of the thesis is to make use of visual analytics for the fundamental analysis of a business to support investors and business decision-makers. The idea is to collect the financial reports, extract the data and feed them to the visual analytics system. Financial reports are PDF documents published by public companies annually and quarterly which are readily available on companies’ websites containing the values of all financial indicators which fully and vividly paint the picture of a companies’ business. The financial indicators in those reports make the basis of fundamental analysis. The thesis focuses on those manually collected reports from the companies’ websites and conceptualizes and implements a pipeline that gathers text and facts from the reports, processes them, and feeds them to a visual analytics dashboard. Furthermore, the thesis uses state-of-the-art visualization tools and techniques to implement a visual analytics dashboard as the proof of concept and extends the visualization interface with interaction capability by giving them options to choose the parameter of their choice allowing the analyst to filter and view the available data. The dashboard fully integrates with the data transformation pipeline to consume the data that has been collected, structured, and processed and aims to display the financial indicators as well as allow the user to display them graphically. It also implements a user interface for manual data correction ensuring continuous data cleansing.

The presented application makes use of state-of-the-art financial analytics and information visualization techniques to enable visual trend analysis. The application is a great tool for investors and business analysts for gaining insights into the business and analyzing historical trends of its earnings and expenses and several other use-cases where financial reports of the business are a primary source of valuable information.

The post Sibgha Nazir defended her Master Thesis on Visual Analytics on Enterprise Reports for Investment and Strategical Analysis appeared first on Human-Computer Interaction & Visual Analyitics Reasearch Group (vis) at Darmstadt University of Applied Sciences (h_da).

Lennart Sina defended his Master Thesis on Visual Analytics for Unstructured Data and Scalable Data Models

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In the thesis, Lennart Sina conceptualized and implemented a visual analytics system that scales data through middleware to enable more efficient analysis. For this purpose, diverse approaches and systems were investigated, which led to a coherent concept. The concept was implemented and connected to an existing database, enabling real-world use of the system and real-world conditions. The scientific contribution of the present work is three-fold: (1) the concept of a visual analytics system to scale data, (2) a novel data model, and (3) a novel and a fully implemented visual dashboard that also enables reporting.

The post Lennart Sina defended his Master Thesis on Visual Analytics for Unstructured Data and Scalable Data Models appeared first on Human-Computer Interaction & Visual Analyitics Reasearch Group (vis) at Darmstadt University of Applied Sciences (h_da).

Irtaza Rasheed defended his Master Thesis on Name Disambiguation on Digital Library Data for an Enhanced Profile Analysis in Visual Trend Analytics

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In his thesis, Irtaza Rasheed implemented a universal name disambiguation approach that considers almost any existing property to identify authors. After an author of a paper is identified, the normalized name writing form on the paper is used to refine the author model and even give an overview of the different writing forms of the author’s name. This can be achieved by first examining the research on Human-Computer Interaction specifically with a focus on (Visual) Trend Analysis. Furthermore, research on different name disambiguation techniques. After that, building a concept and implementing a generalized method to identify author name and affiliation disambiguation while evaluating different properties.

The post Irtaza Rasheed defended his Master Thesis on Name Disambiguation on Digital Library Data for an Enhanced Profile Analysis in Visual Trend Analytics appeared first on Human-Computer Interaction & Visual Analyitics Reasearch Group (vis) at Darmstadt University of Applied Sciences (h_da).

Thesis Presentation: User-Centered Scientific Publication Research and Exploration in Digital Libraries

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When: 10/12/2018 15:30
Where: Frauhofer IGD, Fraunhoferstr. 5, Room 220
Who: Namitha Chandrashekara (Author), Dipl.-Inf. Dirk Burkhardt (Advisor/Co-Supervisor), Prof. Dr. Arjan Kuijper (Supervisor)

What: Master Thesis – “User-Centered Scientific Publication Research and Exploration in Digital Libraries”

Abstract:

Scientific research is the basis for innovations. Surveying the research papers is an essential step in the process of research. It is vital to elaborate the intended writing of state of the art. Due to the rapid growth in scientific and technical discoveries, there is an increasing availability of publications. The traditional method of publishing the research papers includes physical libraries and books. These become hard to document with the rise in the number of publications produced. Due to the above mentioned problem, online archives for scientific publications have become more prominent in the scientific community. The availability of the search engines and digital libraries help the researchers in identifying the scientific publications. However, they provide limited search capabilities and visual interface. Most of the search engines have a single field to search and provides basic filtering of the data. Therefore, even with popular search engines, it is hard for the user to survey the research papers as it limits the user to search based on simple keywords. The relationships across multiple fields of the publications are also not considered such as to find the related papers and papers based on the citations or references.
The main aim of the thesis is to develop a visual access to the digital libraries based on the scientific research and exploration. It helps the user in writing scientific papers. A scientific research and exploration model is developed based on the previous information visualization model for visual trend analysis with digital libraries, and with consideration of the research process. The principles from Visual Seeking Mantra are incorporated to have an interactive user interface that enhances the user experience.
In the scope of this work, a research on Human Computer Interaction, particularly considering the aspects of user interface design are done. An overview of the scientific research, its types and various aspects of data analysis are researched. Different research models, existing approaches and tools that help the researchers in literature survey are also researched. The architecture and the implementation details of scientific research and exploration that provides visual access to digital libraries are presented.

Presentation of Two Accepted Papers at VARE 2018

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At the current conference in Virtual and Augmented Reality in Education (VARE 2018), we are happy to present two of our accepted interesting papers. The conference takes place from Sep. 17, 2018 to Sep. 21, 2018 in Budapest, Hungary. The VARE is a biannual event that brings together trainers in all areas of knowledge and educational levels as well as researchers and scientists from virtual technologies as well data advanced visualization and virtualization. In general, main aim is to improve teaching and training, and data analysis through virtual and augmented technologies use and to discuss problems and solutions in mentioned areas to identify new issues, and to shape future directions for research. The accepted papers are:

#1 Juxtaposing Visual Layouts – An Approach for Solving Analytical and Exploratory Tasks through Arranging Visual Interfaces

Interactive visualization and visual analytics systems enables solving a variety of tasks. Starting with simple search tasks for outliers, anomalies etc. in data to analytical comparison

s, information visualizations may lead to a faster and more precise solving of tasks. There exist a variety of methods to support users in the process of task solving, e.g. superimposing, juxtaposing or partitioning complex visual structures. Commonly all these methods make use of a single data source that is visualized at the same time. We propose in this paper an approach that goes beyond the established methods and enables visualizing different databases, data-sets and sub-sets of data with juxtaposed visual interfaces. Our approach should be seen as an expandable method. Our main contributions are an in-depth analysis of visual task models and an approach for juxtaposing visual layouts as visual interfaces to enable solving complex tasks.

#2 Visualizing Law – A Norm-Graph Visualization Approach based on Semantic Legal Data

Laws or in general legal documents regulate a wide range of our daily life and also define the borders of business models and commercial services.

However, legal text and laws are almost hard to understand. From other domains it is already known that visualizations can help understanding

complex aspects easier. In fact, in this paper we introduce a new approach to visualize legal texts in a Norm-graph visualization. In the developed Norm-graph visualization it is possible to show major aspects of laws and make it easier for users to understand it. The Norm-graph is based on semantic legal data, a so called Legal-Concept-Ontology.

Thesis Presentation: Automated User Evaluation Analysis for a Simplified and Continuous Software Development

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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”

Abstract:

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.