Pedro Silva, Catarina Maçãs, Evgheni Polisciuc, P. Machado
{"title":"Visualisation Tool to Support Fraud Detection","authors":"Pedro Silva, Catarina Maçãs, Evgheni Polisciuc, P. Machado","doi":"10.1109/IV53921.2021.00022","DOIUrl":"https://doi.org/10.1109/IV53921.2021.00022","url":null,"abstract":"Automatic fraud detection and prevention are challenging problems that have attracted the attention of many researchers in academia and industry. Over the last few years, many improvements have been achieved, especially in predictive models based on Machine Learning. However, a considerable amount of these models only provide a prediction score and a short explanation which may not be enough to make informed decisions. This paper presents a visualization tool that aims to assist fraud analysts in making informed decisions and increase their effectiveness in the detection of fraud. To this end, we designed three visualisation models that apply state of the art techniques to support the analysis of fraudulent transactions. To demonstrate the analytic capabilities and benefits of the proposed tool, we discussed a real use case scenario and conducted user testing with real fraud analysts. Through the feedback from both studies, we were able to conclude that the tool is an asset to facilitate the detection of suspicious events as well to improve the analysis times of the fraud analysts’ work process.","PeriodicalId":380260,"journal":{"name":"2021 25th International Conference Information Visualisation (IV)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133130536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visualisation for social media analytics: landscape of R packages","authors":"Atousa Ghahremani, M. Prokofieva","doi":"10.1109/IV53921.2021.00042","DOIUrl":"https://doi.org/10.1109/IV53921.2021.00042","url":null,"abstract":"While existing literature indicates challenges and difficulties involved in analyzing social media data, limited research evaluated the capabilities of visualization methods to understand the behavior of individuals through their connections on social media platforms. Despite the need and growing demand in the industry at all stages of collection, preparation and analysis; a structured approach is missing in identifying the appropriate methods for visualization in social media analytics. To address the gap, we explored literature to propose methods to benefit researchers and practitioners who seek better understanding of analyzing social media data through visualization. This paper investigates the use of open source R environment in visualization with a focus on application in Social Network Analytics (SNA) and Social media analytics (SMA). SNA provides a foundation to study complex networks by considering distinct elements (nodes or vertices) and the connections between them (links or edges). The aim is to identify existing approaches and tools used in social network science and map them to existing packages and tools for visualization in SNA and SMA. This study contributes to the literature by providing an organized framework of available visualization tools in R that fit the needs of SNA and SMA. This provides opportunities for further application and software development to address emerging areas of need through analyzing the landscape of R packages.","PeriodicalId":380260,"journal":{"name":"2021 25th International Conference Information Visualisation (IV)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134199157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of critical thinking skills during online learning","authors":"M. Nakayama, Satoru Kikuchi, Hiroh Yamamoto","doi":"10.1109/IV53921.2021.00046","DOIUrl":"https://doi.org/10.1109/IV53921.2021.00046","url":null,"abstract":"The progress of development of the disposition toward critical thinking in blended and fully online learning environments is compared. Participant’s individual characteristics, including responses to a questionnaire about critical thinking disposition, were measured during a bachelor level university course. Though the measured scores are comparable, the relationships between the scores in the two surveys during the course are different according to learning style. The contributing variables were extracted using linear regression analysis, and the weights assigned to them depended on the style of learning. In particular, variables which contributed to transforming the participant’s ability are discussed. Also, cluster patterns of scores of literacy of science and technology were extracted, and the contributions of the cluster scores was discussed.","PeriodicalId":380260,"journal":{"name":"2021 25th International Conference Information Visualisation (IV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129518579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bernardo Marques, Tiago Araújo, S. Silva, J. Alves, Paulo Dias, B. Santos
{"title":"Visually exploring a Collaborative Augmented Reality Taxonomy","authors":"Bernardo Marques, Tiago Araújo, S. Silva, J. Alves, Paulo Dias, B. Santos","doi":"10.1109/IV53921.2021.00024","DOIUrl":"https://doi.org/10.1109/IV53921.2021.00024","url":null,"abstract":"Augmented Reality (AR) has been explored with the objective to assist in scenarios of co-located or remote collaboration. To help understand how well collaborative work can be addressed with AR, it is important to foster harmonization of perspectives and create a common ground for systematization and discussion. In this vein, understand relationships among existing dimensions of collaboration, as well as identify research opportunities, is of paramount importance and thus tools that allow visually exploring information associated with Collaborative AR may be most valuable. In this paper, we present a first effort towards the creation of such an interactive visualization tool for exploration and analysis of collaborative AR research. It allows visualize data of selected papers organized according to a human-centered taxonomy on collaborative AR. In order to get insights into whether the structure was understood and if the representation was clear and efficient to use, we evaluated the proposed tool through a user study with 40 participants. Results suggest the tool has potential towards the creation of a shared understanding and identification of existing patterns, trends and opportunities within the field of collaborative AR.","PeriodicalId":380260,"journal":{"name":"2021 25th International Conference Information Visualisation (IV)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134065292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Costa, R. Lima, Carlos G. R. Santos, B. Meiguins, Anderson Marques, Roberto Yuri da Silva Franco
{"title":"EmojiText: An Information Visualization Technique for Analyzing Phrases and Sentiments","authors":"I. Costa, R. Lima, Carlos G. R. Santos, B. Meiguins, Anderson Marques, Roberto Yuri da Silva Franco","doi":"10.1109/IV53921.2021.00027","DOIUrl":"https://doi.org/10.1109/IV53921.2021.00027","url":null,"abstract":"This paper presents a proposal for text visualization with a focus on the representation of sentences and sentiments. It is noteworthy that traditional text visualization techniques, such as wordcloud, do not visually present relations between words, making it challenging to analyze textual data more deeply through visualization. EmojiText uses a directed graph, where the nodes represent the words and the edges represent the sequence in which the words appear in the sentences. Furthermore, the area of each node is related to the frequency of the represented word, and each node is associated with an emoji that represents the most frequent sentiment associated with the word. Finally, the edges also allow identifying the sentiment at the sentence level. The tool also includes zoom interactions, filters, details on demand, visual mapping configuration, and temporal analysis functionality through animations and multiple views for comparisons. The tool was developed in a javascript programming language using the d3.js framework and is available at http://emojitext.roberto.eti.br/.","PeriodicalId":380260,"journal":{"name":"2021 25th International Conference Information Visualisation (IV)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122721421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nudging students to reduce procrastination in office hours and forums","authors":"Eric Fouh, Wellington Lee, R. Baker","doi":"10.1109/IV53921.2021.00047","DOIUrl":"https://doi.org/10.1109/IV53921.2021.00047","url":null,"abstract":"In this article, we present the results of a study aiming to understand the impact of email nudge notification on students’ procrastination in office hours, and Piazza (QA forum) in a CS1 course at a large research university. With this study, we sought to understand if email nudges can be a useful tool in improving student’s learning behaviors, especially procrastination. After the first two homeworks, we randomly split students into two groups; the treatment group received the email, and the control group did not. The treatment group was further divided into two groups: one for the students who performed above the median (of the combined grades of homework 1 and 2) and those who performed below the median. Each sub-group received a slightly different version of the email. We found that students in the treatment group did not change their office hours’ attendance and Piazza interactions. We also found no difference in homework grades. However, students in the treatment group used more free late days on the following (third) homework. However, the change was short-lived, and they reverted to the pre-email level of late days usage on the fourth homework.","PeriodicalId":380260,"journal":{"name":"2021 25th International Conference Information Visualisation (IV)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123403114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tiago Araújo, B. Santos, Carlos G. R. Santos, B. Meiguins
{"title":"Real-time visualization reconstruction in a real-world environment using Augmented Reality.","authors":"Tiago Araújo, B. Santos, Carlos G. R. Santos, B. Meiguins","doi":"10.1109/IV53921.2021.00023","DOIUrl":"https://doi.org/10.1109/IV53921.2021.00023","url":null,"abstract":"Even with the growth of digital data sources and support for creating visualizations, much information disseminated in chart format is still static, whether printed or digital. Some common problems of visualization components can be easily corrected on the chart design using a charting tool, but in the real world, mainly in the printed media, it is not a simple task. We investigate a method to reconstruct visualizations in real-time and in a real-world environment using Augmented Reality. We propose a prototype that interacts with extracted data from a bitmap chart in the real world, and we evaluated it with usability experts. The results show a high degree of satisfaction on many factors, mainly filter usage and valuable feedback about interaction.","PeriodicalId":380260,"journal":{"name":"2021 25th International Conference Information Visualisation (IV)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130194628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Courtney Brake, Yongjin Liu, P. Straight, C. LaFayette
{"title":"MicroWorlds: A macro study of microbial interactions informs a bio-art series","authors":"Courtney Brake, Yongjin Liu, P. Straight, C. LaFayette","doi":"10.1109/IV53921.2021.00055","DOIUrl":"https://doi.org/10.1109/IV53921.2021.00055","url":null,"abstract":"A collaboration between an artist and a team of microbiologists aimed to capture interactions between microbial communities as a whole to better understand the biological bases of interactions that take place within them. This required building a time-lapse imaging system from off-the-shelf components and optimizing image capture at the macroscale of centimeters. Biological discoveries during the course of the research gave rise to a new series of artworks leveraging the complex interactions of line, form, and color as bacteria react to stressors in the environment. The work in progress shifts to capturing the motion of light observed in bioluminescent bacteria.","PeriodicalId":380260,"journal":{"name":"2021 25th International Conference Information Visualisation (IV)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131930825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simplifying the Structural Recursion of the Data Funnel Interface","authors":"H. P. Zellweger","doi":"10.1109/IV53921.2021.00033","DOIUrl":"https://doi.org/10.1109/IV53921.2021.00033","url":null,"abstract":"The paper describes recent improvements made to the structural recursion of the Data Funnel Interface. This end user interface organizes the raw data in a database table into a series of nested data lists that guide users to information. The new developments outlined in the article streamline the recursive algorithm and the data files that it produces. The program logic constructs a new SELECT statement on each recursive pass to retrieve a unique subset of attribute data from the table. Next, it transforms the subset’s structure into a structure of nested data lists that users can navigate in the interface. The branching data model (BDM) provides the framework for combining these two objectives into a single, recursive algorithm. The data BDM features a detailed description of the data mapping between two table attributes as one-to-many data relationships. The input data for the recursion is a list of table attributes that models the data funnel network. Each new subset of data in the series folds into the former one until it reaches the final subset, a primary key value. The prior algorithm draws on the depth-first tree growing methodology of the OHDS structure to manage these subsets. The paper introduces a new numbering scheme to organize the subsets of data. This improvement assigns a unique list number to each new subset when adding it to the database table. This capability replaces the need for the OHDS in the table. It also simplifies the data funnel software and makes it easier to maintain.","PeriodicalId":380260,"journal":{"name":"2021 25th International Conference Information Visualisation (IV)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128616895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Discovering Interpretable Machine Learning Models in Parallel Coordinates","authors":"B. Kovalerchuk, Dustin Hayes","doi":"10.1109/IV53921.2021.00037","DOIUrl":"https://doi.org/10.1109/IV53921.2021.00037","url":null,"abstract":"This paper contributes to interpretable machine learning via visual knowledge discovery in parallel coordinates. The concepts of hypercubes and hyper-blocks are used as easily understandable by end-users in the visual form in parallel coordinates. The Hyper algorithm for classification with mixed and pure hyper-blocks (HBs) is proposed to discover hyper-blocks interactively and automatically in individual, multiple, overlapping, and non-overlapping setting. The combination of hyper-blocks with linguistic description of visual patterns is presented too. It is shown that Hyper models generalize decision trees. The Hyper algorithm was tested on the benchmark data from UCI ML repository. It allowed discovering pure and mixed HBs with all data and then with 10-fold cross validation. The links between hyper-blocks, dimension reduction and visualization are established. Major benefits of hyper-block technology and the Hyper algorithm are in their ability to discover and observe hyperblocks by end-users including side by side visualizations making patterns visible for all classes. Another advantage of sets of HBs relative to the decision trees is the ability to avoid both data overgeneralization and overfitting.","PeriodicalId":380260,"journal":{"name":"2021 25th International Conference Information Visualisation (IV)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124032565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}