Brunelli Miranda

Guidelines for Graphical User Interface Design in Mobile Augmented Reality Applications

The technological advancement of mobile devices allowed the entry of innovative technologies in users’ daily lives, due to miniaturization and advancement of sensors, cameras and computer resources. These technologies make it possible to increase the user’s interaction and perception about places and objects around him, allowing, for example, the use of augmented reality. However, this opportunity presents new challenges, such as application design and development, aspects to this new context of ubiquitous devices, heterogeneity of mobile devices, and how the user interacts with these applications. Thus, this paper aims to present the results of Mobile Augmented Reality application usability evaluation, identifying a list of problems in the application Graphical User Interface and propose some guidelines for building Graphical User Interfaces to avoid these problems. The chosen usability evaluation is the Think Aloud protocol, which was performed with 20 participants in the Mobile Augmented Reality application named ARguide.

Categorizing Issues in Mid-air InfoVis Interaction

This paper presents a starting study on InfoVis interaction through mid-air gestures, using a vision based interaction device, the Leap Motion. We present the user tests conducted and the results gathered, using a 3D Scatterplot as visualization technique. These tests aim in identify and categorize issues that can compromise InfoVis mid-air gestural interaction as a whole, not focusing on the design of the developed tool. The test tasks and results are exposed and the issues found are categorized in Boundary Awareness, Granularity and Collision and Depth Perception.

Evaluation of Information Visualization Interaction Techniques Using Gestures and Widgets in 3D Environments

This paper presents the results of usability evaluation of an Information Visualization tool with touchless gestural commands. The tool has well-known visualizations tasks implemented in itself, allowing users to interact on a 3D scatterplot visualization technique. The chosen usability evaluation was the Think Aloud protocol, together with questionnaires conducted by an interviewer, both of them performed with five participants in a controlled environment.

A New Strategy Based on Feature Selection for Fault Classification in Transmission Lines

The transmission lines are the element most susceptible to faults on power systems, and the short circuit faults are the worst type of faults than can happen on this element. In order to avoid further problems due to these faults, a fault diagnostic is necessary, and the use of front ends is required. However, the selection process for choosing the front ends is not a simple one because it behaves differently for each. Therefore, this paper presents a new front end, called Concat front end, which integrates other front ends, such as wavelet, raw and Root Mean Square. Furthermore, we have applied feature selection techniques based on filter in order to decrease the dimension of the input data. Thus, we used the following classifiers: neural network, K-nearest neighbor, Random Forest and support vector machine. We used a public dataset called UFPAFaults to train and test the classifiers. As a result, the concatenation of front ends, on most cases, had achieved the lowest error rates. In addition, the feature selection techniques applied showed that it is possible to get higher accuracy using less features on the process.

A Low Level Evaluation of Head-Tracker and Speech Commands Interactions in Information Visualization Tasks

This paper presents results of head tracker and speech commands interaction evaluation in information visualization context at low level task taxonomy. The head tracker is used to move a pointer and the voice commands to perform actions. In the evaluation, we used 20 public information visualization techniques, 62 simple tasks (aiming low-level interactions), and 10 participants performed all tasks. The evaluation shows results about user performance (UP) and user experience (UE) by visualization and interaction taxonomies. Finally, we highlight some good practices suggestions for design of this type of interaction.

A Review of Ways and Strategies on How to Collaborate in Information Visualization Applications.

Design and develop collaborative methods in information visualization are a current challenge, hence understand, identify and define the current progress of developed methods to collaborate in information visualization are important. The aim of this work is to review the ways and strategies of how to collaborate in information visualization applications. We surveyed published works that present applications that implements collaborative information visualization techniques and methods. We present a micro level category of identified ways of how the InfoVis applications implements collaboration.

Aspects of Voice Interaction on a Mobile Augmented Reality Application

Mobile Augmented Reality has become more popular mainly because computational resources available in mobile devices, and in the enhanced view of real world that can be seen by the user. The interaction becomes an important point for success of these applications, featuring a natural and intuitive way for the user, and the chance of one, or two hands free for other interaction or activity. Therefore, this work presents the usability analysis of a Mobile Augmented Reality, the ARGuide, with the use of a voice service for interaction. The usability test analysis is based upon the most common interaction tasks of the users in this type of application. In the end, some good practices for the application interface building and speech interaction are shown.

Visual Data Analysis for Hydrological Cycle Classification Based on Physico-Chemical Parameters

Water is one of the main resources of nature, being the element directly related with maintenance of life in any ecosystem. For mankind, beside the biologic needs, water is used in many sectors of society, and one of them is electricity generation. For the full operation of hydroelectric power plants there is a need to create a huge water reservoir, which transforms the ecosystem and local economy, serving multiple uses, such as tourism, fishing, recreation, sailing, among others. The maintenance in this context is dependent of the quality of water in reservoir, which justifies its continuous monitoring. From the monitored data, it is possible to predict or classify the hydrologic cycle for the reservoir, aiming to support the process of decision about the hydric resources and environmental impact. Thus, this paper presents a practical approach to use visualization techniques based on the PRISMA software, which is a visualization tool with features of multiples views and coordinated databases to identify patterns in hydrologic cycles, considering the psycho-chemical elements existent in the dam water of the hydroelectric power plant from Tucuruí - Pará - Brazil.

IVOrpheus - A Proposal for Interaction by Voice Commands in Three-Dimensional Environments of Information Visualization

IVOrpheus is an information visualization tool for three-dimensional data that allows users interaction by voice commands, mouse and keyboard input. The visualization technique used was the scatterplot 3D, which was implemented using Jmathplot API, and the speech recognition in Brazilian Portuguese was performed by Coruja software. IVOrpheus was developed in Java following the architectural pattern MVC, design patterns and open technologies. In voice interaction, some usability guidelines have been set in interface building process, making it more intuitive and contributing to lower the user cognitive effort. In addition, initial usability tests with users were performed to evaluate the application interface with and without interaction by voice. The tasks with and without voice interaction have shown similar results of time and completeness. The speech recognizer achieved a word error rate of approximately 17%.

Heuristic Evaluation of a t-Commerce InfoVis Prototype

The current Brazilian context in television audiovisual communication is in transition from analogical to digital technology. One of the main reasons for this motion towards Interactive Digital Television (iDTV) is the improvement in the user experience over this platform. Considering this motion, this work applied suitable interaction design and usability concepts from the Nielsens heuristics [5] into a visualization prototype to the support of visual analysis of products in electronic commerce over TV (t-commerce). In this work we conducted a usability check in an existing information visualization prototype, in order establish whether or not it follows usability standards and in order to make it more usable to the user.