Stacking-based visualization of trajectory attribute data

Visualizing trajectory attribute data is challenging because it involves showing the trajectories in their spatio-temporal context as well as the attribute values associated with the individual points of trajectories. Previous work on trajectory visualization addresses selected aspects of this problem, but not all of them. We present a novel approach to visualizing trajectory attribute data. Our solution covers space, time, and attribute values. Based on an analysis of relevant visualization tasks, we designed the visualization solution around the principle of stacking trajectory bands. The core of our approach is a hybrid 2D/3D display. A 2D map serves as a reference for the spatial context, and the trajectories are visualized as stacked 3D trajectory bands along which attribute values are encoded by color. Time is integrated through appropriate ordering of bands and through a dynamic query mechanism that feeds temporally aggregated information to a circular time display. An additional 2D time graph shows temporal information in full detail by stacking 2D trajectory bands. Our solution is equipped with analytical and interactive mechanisms for selecting and ordering of trajectories, and adjusting the color mapping, as well as coordinated highlighting and dedicated 3D navigation. We demonstrate the usefulness of our novel visualization by three examples related to radiation surveillance, traffic analysis, and maritime navigation. User feedback obtained in a small experiment indicates that our hybrid 2D/3D solution can be operated quite well

BlogForever D5.2: Implementation of Case Studies

This document presents the internal and external testing results for the BlogForever case studies. The evaluation of the BlogForever implementation process is tabulated under the most relevant themes and aspects obtained within the testing processes. The case studies provide relevant feedback for the sustainability of the platform in terms of potential users’ needs and relevant information on the possible long term impact

A Quantitative Approach for Web Usability Using Eye Tracking Data

This chapter presents a relatively new approach to show how a web usability classical paradigm can benefit from quantitative data of a nonclassical approach. In the pilot stage, we used experimental eye tracking data acquired from 11 participants faced to a web page to perform three simple tasks. Results show advantages by using eye tracking data to identify and verify some usability problems of such a web page. In this chapter, some hints are presented for people interested in measuring web usability by using such an approach. However, a deeper study should be carried out in order to generalize our results toward the construction of a methodology to be followed by a web developer or interested people in such a field of research

Selected Computing Research Papers Volume 7 June 2018

Contents Critical Evaluation of Arabic Sentimental Analysis and Their Accuracy on Microblogs (Maha Al-Sakran) Evaluating Current Research on Psychometric Factors Affecting Teachers in ICT Integration (Daniel Otieno Aoko) A Critical Analysis of Current Measures for Preventing Use of Fraudulent Resources in Cloud Computing (Grant Bulman) An Analytical Assessment of Modern Human Robot Interaction Systems (Dominic Button) Critical Evaluation of Current Power Management Methods Used in Mobile Devices (One Lekula) A Critical Evaluation of Current Face Recognition Systems Research Aimed at Improving Accuracy for Class Attendance (Gladys B. Mogotsi) Usability of E-commerce Website Based on Perceived Homepage Visual Aesthetics (Mercy Ochiel) An Overview Investigation of Reducing the Impact of DDOS Attacks on Cloud Computing within Organisations (Jabed Rahman) Critical Analysis of Online Verification Techniques in Internet Banking Transactions (Fredrick Tshane

Visualization and visual analytics of geospatial data for psychological treatment

Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesCurrent location-tracking solutions, along with general advances in software (e.g., development frameworks, visualization libraries) and hardware (e.g., cloud computing, mobile devices), make it increasingly easy to capture and store geospatial data to be exploited in various application areas. In this dissertation, we study the possibilities of visualization techniques and visual analytics of geospatial (user) data with the aim of helping/improving therapies in the realm of psychological health. To this aim, a web-based visualization application was created as part of a larger ecosystem of applications created by GEOTEC, including a mobile app to systematically capture user’s geospatial data (i.e., GPS coordinates), and a metrics analytical platform, which is capable of storing captured data and performing useful analysis/calculations. The visualization tool was developed to support therapists to make informed decisions pertinent to psychological illness depression interventions, by allowing them to visually inspect, compare, and analyze captured and processed data from monitored patients. Next to determining what visual elements of the visualization tool best suited the needs of the case study, a quantitative and qualitative evaluation was performed with therapists, in order to measure the resulting usefulness of the tool, find out the drawbacks for further improvement, and to generate ideas for future work and further applications in psychological health. As a result, the visualization tool was generally found to be useable (SUS score of 86.5625), useful for therapists to help during and to determine their therapy, and various useful extensions and further application areas were discovered. Based on the result, we can conclude that the tool may indeed become a beneficial mechanism for psychological intervention in real-world settings