Background: Evaluation of Data Visualization methods is a major challenge within the software and other industries. With complex data and requirements, often organizations require effective visualization methods which impact business decisions and convince stakeholders. This is a similar challenge in the development of a software demonstrator for the innovative safety radar system at ABB Jokab Safety whose aim is to improve the detection reliability using multiple radar sensors and requires an effective visualization method which will satisfy all the requirements. Objectives: The main objective of this study is to explore different data visualization methods involved in illustrating the raw data and with the help of developers, and other team members feedback with reference to existing literature and filter them with respect to the system functionalities. Establish evaluation criteria with relevant metrics to perform analytic evaluations on the visualization methods to determine an effective method. Methods: A Case Study which includes a multivocal literature review, is conducted at ABB Jokab Safety. Initially, to gather information on the subject, both formal and grey literature are explored and documented to filter our appropriate data visualization methods for this system. A task-based evaluation using semi-structured interview is conducted on 14 participants to determine an effective visualization method followed by statistical analysis to derive proper validation of the findings. The Response time, Ease of understanding, Confidence and Accuracy of the visualization methods are evaluated with feedback from the participants. Results: The Multivocal literature review filtered 16 primary articles which encouraged the use of 4 data visualization methods used in the safety radar system with distinct functionalities. A coordinate transformation engine to combine the data sets was also developed for the safety radar system contributing to the overall improvement of detection reliability. The evaluation including both quantitative and qualitative results validate each other’s findings through statistical tests like Kruskal-Wallis and Bonferroni post hoc followed by narrative analysis resulting a heat temperature plot to be more effective in the visualization of the radar data from multiple sensors. Conclusions: The results from this research provide insight into how data visualization evaluation can be implemented for real-time industrial problems and furnish validation process to determine an effective data visualization method. This study helps object detection using similar radar technologies visualize their data in an effective way and provides a scientific approach for evaluating similar data visualization problems.

This study explores the effect of ornamentation on the emotional response and perception of motion graphics. A series of motion graphics were created, eye tracked, and tested for changes in emotional responses and perceptions based on the amount of ornamentation in the design. This study collected both quantitative and qualitative data to gain a better understanding of the viewer's overall emotional responses and perceptions of each video. Eye tracking data was studied to validate focal points and areas of interest. The quantitative data was analyzed by looking for correlations and trends. The qualitative data was analyzed for trends and reoccurring ideas. This study found that the amount of ornamentation in logo animations has a direct effect on the viewer's emotional responses and perceptions. More ornamentation led to overall positive changes in the emotional responses and perceptions of the brand or message, however there can be a turning point where the ornamentation can cause a negative response from the viewer. / Master of Fine Arts

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / Real-time monitoring of temperature is a critical factor in ensuring the integrity of food during the cold chain. In this work, we compare techniques related to real-time data visualization to contribute to more efficient monitoring of the cold chain. Three real-time data display attributes were evaluated, and we constructed a dataset based on the Frisbee database (CDD). In this paper, we proposed graphics containing different line and area techniques to be evaluated for a specialist. The proposed graphs contained the line and area techniques that, when performing the experiment, obtained a higher success rate compared to the auto-charting technique. However, it was evidenced that elements such as color facilitate the detection of anomalies and trends in temperature change due to its high percentage of effectiveness in the results. / Revisión por pares

This thesis addresses the design of a productivity dashboard for small and medium-sized enterprises (SMEs) to track key performance indicators (KPIs) and highlight the requirements for SME’s undergoing the initial implementation of business intelligence (BI). The objective is to develop an easy-to-use web application prototype that incorporates a dashboard with data source selection, while considering research framework requirements and limitations. Further, the prototype aims to fulfil the conceptual requirements of the tool used for decision support systems, including remote access, scalability, customization, and intuitive data presentation.   The thesis successfully developed a prototype web application that allows remote access through a browser. The interface of the application received positive feedback from respondents and demonstrates high usability. As a result, the prototype's scalability is confirmed through the gradual integration of new functionality, depicted in a hierarchical diagram to guide future enhancements. However, limitations arise from the technology choices, making the integration of new data sources more challenging due to specific data structure and attribute requirements. The study provides clear guidelines and inspiration for SMEs and web developers in integrating BI tools during the initial phase of adopting decision support systems. The research offers a well-documented development and evaluation process, empowering SMEs to make informed decisions when implementing BI solutions. / Det här examensarbetet behandlar utformningen av en produktivitetsdashboard för små och medelstora företag (SMEs) för att spåra nyckeltal för prestanda och lyfta fram kraven för SMEs som genomgår den initiala implementeringen av business intelligence (BI). Målet är att utveckla en lättanvänd webbapplikations prototyp som tillhandahåller en dashboard med möjlighet att välja datakälla samtidigt som forskningens krav och begränsningar beaktas. Vidare syftar prototypen till att uppfylla de konceptuella kraven för verktyg som används i system för beslutstöd, vilket inkluderar fjärråtkomst, skalbarhet, anpassning och intuitiv presentation av data.    Studien utvecklade framgångsrikt en prototyp för en webbapplikation som möjliggör fjärråtkomst via en webbläsare. Gränssnittet för applikationen fick positiv återkoppling från respondenter och visade hög användbarhet. Prototypens skalbarhet bekräftas genom gradvis integration av ny funktionalitet. Begränsningar uppstår dock på grund av valda teknologier, vilket gör integrationen av nya datakällor mer utmanande på grund av specifika krav på datastruktur och attribut. Studien ger tydliga riktlinjer och inspiration för små- och medelstora företag samt webbutvecklare för att integrera BI-verktyg under den inledande implementering av system för beslutstöd. Forskningen erbjuder en väldokumenterad process för utveckling och utvärdering, vilket ger små- och medelstora företag möjlighet att fatta välinformerade beslut vid implementering av BI-lösningar.

This thesis evaluates the viability of a data cube as a basis for visualization of unbounded data. A cube designed for use with visualization of static data was adapted to allow for point-by-point insertions. The new cube was evaluated by measuring the time it took to insert different numbers of data points. The results indicate that the cube can keep up with data streams with a velocity of up to approximately 100 000 data points per second. The conclusion is that the cube is useful if the velocity of the data stream is within this bound, and if the granularity of the represented dimensions is sufficiently low. / Det här exjobbet utvärderar dugligheten av en datakub som bas för visualisering av obegränsad data. En kub designad för användning till visualisering av statisk data anpassades till att medge insättning punkt för punkt. Den nya kuben evaluerades genom att mäta tiden det tog att sätta in olika antal datapunkter. Resultaten indikerade att kuben kan hantera dataströmmar med en hastighet på upp till 100 000 punkter per sekund. Slutsatsen är att kuben är användbar om hastigheten av dataströmmen är inom denna gräns, och om grovheten av de representerade dimensionerna är tillräckligt hög.

Recent cognitive research indicates that the human brain possesses special abilities for processing information relating to outdoor scenes. Simulated outdoor scenes are presented as an effective method of displaying higher dimensional data in an efficient and comprehensible manner. We demonstrate novel methods of using outdoor objects and scenes to display multidimensional content in a way that that is intuitive for humans to understand, and to exploit various cues commonly found in scenes from the natural world to communicate the values of multiple variables.

Visceral Data is a short documentary formatted for 360-cinema (commonly referred to as virtual reality or VR) that explores the integration of art and science, and how aesthetically creative treatments of raw data are an engaging way to interpret complex information. With Roger Malina, executive editor of Leonardo, the world's foremost academic journal for the intersections of art, science, and technology, providing a narrative overview of the subject, six art-scientists/science-artists discuss specific pieces of their artistic output to provide examples. As Roger Malina asserts, civilization is "going through an epistemological revolution as deep as the Copernican Revolution," and as we progress further into the 21st century, we will need hybrid professionals working in the arts and sciences to help humanity navigate through the age of big data.

<p dir="ltr">Invasive species wreak havoc on global ecosystems, with negative ecological and economic consequences. Human activities, primarily stemming from globalization, trade, and increased travel, have played a significant role in accelerating species invasions. To manage and possibly mitigate these challenges, humans can harness data analysis to predict and control species invasions. Addressing this issue requires an understanding of the spatiotemporal dynamics of invasions. This research developed an innovative visualization tool designed to illustrate complex spatiotemporal data pertaining to species invasion routes. By analyzing pest invasion records spanning from 1905 to 2020, the tool presents the invasion trajectories of four non-native species in the eastern United States. Implementing spatial tools such as road networks and terrain, the visualization clarifies the spatiotemporal progression of these invasions, allowing users to intuitively determine invasion epicenters, and identify propagation pathways. Additional features enable the examination of correlations between highway systems, terrain, and invasion dynamics. Following a comprehensive training and exploration phase with domain experts, the efficacy of the tool was proven. The findings underline the proposed solution’s potential to enhance users’ comprehension of invasion dynamics, highlight intrusion centers, and indicate the influence of external factors on species expansion. This study not only validates the visualization tool’s capability but also serves as a foundation for future spatiotemporal research endeavors.</p>

Wearable technologies are creating new ways for people to discover and record personal data. While these devices are raising awareness about biometric information, there is a larger quantified self movement encompassing any type of personal data collected by any means and recorded and shared in a variety of ways. Participants in this movement are experimenting with new ways to view and interact with their generated digital information. On a societal level, as we collect more data (personal or otherwise) we are questioning who should have access to different types of data and how collected data should be used. Visual Imprints documents an exploration into how location data is collected, visualized, and understood by people with varying degrees of data literacy. Through the design and development of the Android application Data Atlas, this exploration utilizes aspects of information architecture to illustrate how we as a society might come to better understand what technologies and applications record personal data and how collected information can be seen and used. The exploration also illustrates how creative technologists can contribute to societal questions on data literacy and user privacy as well as create work as a part of the quantified self movement. / Master of Fine Arts

No / This book provides a review of the state of the art in computer graphics, visualization, and visual analytics by researchers and developers who are closely involved in pioneering the latest advances in the field. It is a unique presentation of multi-disciplinary aspects in visualization and visual analytics, architecture and displays, augmented reality, the use of color, user interfaces and cognitive aspects, and technology transfer. It provides readers with insights into the latest developments in areas such as new displays and new display processors, new collaboration technologies, the role of visual, multimedia, and multimodal user interfaces, visual analysis at extreme scale, and adaptive visualization.