Information Visualization最新文献_第4页

Visual analytics for monitoring credit scoring models 用于监控信用评分模型的可视化分析

4区计算机科学

Information Visualization Pub Date : 2023-06-15 DOI: 10.1177/14738716231180803

Daiane Rodrigues Baldo, Murilo Santos Regio, Isabel Harb Manssour

{"title":"Visual analytics for monitoring credit scoring models","authors":"Daiane Rodrigues Baldo, Murilo Santos Regio, Isabel Harb Manssour","doi":"10.1177/14738716231180803","DOIUrl":"https://doi.org/10.1177/14738716231180803","url":null,"abstract":"Financial institutions use credit Scoring models to predict the default of their customers and assist in decision-making about the granting of credit. As a large volume of credit transactions is generated daily alongside a potential increase in this information with the advent of Open Finance, it is challenging to monitor this information quickly so we can act in case these models lose performance. Considering this context, our research aims to provide a Visual Analytics approach to assist in monitoring credit models. For this, initially, we carried out a systematic review of the literature on the subject and conducted semi-structured interviews with 13 domain experts. Considering the needs raised with this study, we created a prototype called Visual Analytics for monitoring Credit Scoring models (VACS). The main contributions of this work are twofold: The requirements gathered through interviews with specialists, which allowed the analysis of how the models are monitored within financial institutions, something that is not disclosed and that can help in the standardization of the monitoring process; and VACS, which was evaluated by four domain experts who considered it a very complete and easy-to-use tool.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135672678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Waffster: Hierarchical waffle charts for budget visualization 华夫饼:用于预算可视化的分层华夫饼图

4区计算机科学

Information Visualization Pub Date : 2023-05-30 DOI: 10.1177/14738716231173730

Antoine Béland, Florent Daudens, Thomas Hurtut

引用次数: 0

Comparing overlapping data distributions using visualization 使用可视化比较重叠数据分布

4区计算机科学

Information Visualization Pub Date : 2023-05-23 DOI: 10.1177/14738716231173731

Eric Newburger, Niklas Elmqvist

引用次数: 0

TopoBERT: Exploring the topology of fine-tuned word representations TopoBERT：探索微调单词表示的拓扑结构

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2023-05-01 DOI: 10.1177/14738716231168671

Archit Rathore, Yichu Zhou, Vivek Srikumar, Bei Wang

{"title":"TopoBERT: Exploring the topology of fine-tuned word representations","authors":"Archit Rathore, Yichu Zhou, Vivek Srikumar, Bei Wang","doi":"10.1177/14738716231168671","DOIUrl":"https://doi.org/10.1177/14738716231168671","url":null,"abstract":"Transformer-based language models such as BERT and its variants have found widespread use in natural language processing (NLP). A common way of using these models is to fine-tune them to improve their performance on a specific task. However, it is currently unclear how the fine-tuning process affects the underlying structure of the word embeddings from these models. We present TopoBERT, a visual analytics system for interactively exploring the fine-tuning process of various transformer-based models – across multiple fine-tuning batch updates, subsequent layers of the model, and different NLP tasks – from a topological perspective. The system uses the mapper algorithm from topological data analysis (TDA) to generate a graph that approximates the shape of a model’s embedding space for an input dataset. TopoBERT enables its users (e.g. experts in NLP and linguistics) to (1) interactively explore the fine-tuning process across different model-task pairs, (2) visualize the shape of embedding spaces at multiple scales and layers, and (3) connect linguistic and contextual information about the input dataset with the topology of the embedding space. Using TopoBERT, we provide various use cases to exemplify its applications in exploring fine-tuned word embeddings. We further demonstrate the utility of TopoBERT, which enables users to generate insights about the fine-tuning process and provides support for empirical validation of these insights.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42372953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Voronoi treemap in Manhattan distance and Chebyshev distance Voronoi树图在曼哈顿距离和切比雪夫距离

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2023-04-20 DOI: 10.1177/14738716231167181

Yan Chao Wang, Yi Xing, J. Zhang

{"title":"Voronoi treemap in Manhattan distance and Chebyshev distance","authors":"Yan Chao Wang, Yi Xing, J. Zhang","doi":"10.1177/14738716231167181","DOIUrl":"https://doi.org/10.1177/14738716231167181","url":null,"abstract":"The ordinary Voronoi treemap generated based on the Euclidean distance function has the flexibility to slightly adjust the layout when visualizing time-varying hierarchical data for better visual quality, preserving neighborhood relationships, and preserving a stable layout. However, its layout formed by segments with arbitrary orientations has poor shape stability between successive layouts at different time indexes, which is not conducive for the users to understand the plot and track the same node. In this paper, we propose novel Voronoi treemaps in Manhattan distance and Chebyshev distance respectively, such that the segments in the new layouts only have four orientations (horizontal, vertical, and ±45° to the x -axis). The new layouts can not only heritage the abilities of ordinary Voronoi treemap, but preserve good shape stability. To achieve this, we first focus on the weighted bisector between two sites in Manhattan distance and design a bisector generation method for different weight values of two sites, as the bisector is the foundation to form a diagram. Then a divide-and-conquer method is utilized to form the bisectors into a Voronoi diagram, and a Voronoi treemap layout can be finally obtained by using Lloyd’s method to iteratively adjust the diagram. Moreover, we prove that the treemap algorithm in Manhattan distance can be adjusted to also generate the Voronoi treemap in Chebyshev distance via linear transformation, avoiding designing additional algorithm. The computational properties of the proposed methods are first evaluated to check whether the layouts can be generated fast and accurately. Then the perceptual properties are evaluated quantitatively and qualitatively based on quality metrics and user studies, respectively. The results demonstrate that the proposed Voronoi treemaps preserve similar layout stability, but better visual quality and shape stability than the ordinary Voronoi treemap. Our algorithms are simple and resolution-independent, but also provide alternatives to the Voronoi treemaps.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45232514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The role of individual characteristics: How thinking style and domain expertise affect performances on visualization 个人特征的作用：思维风格和领域专业知识如何影响可视化表现

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2023-04-12 DOI: 10.1177/14738716231167180

S. Tomasi, Jeanny Liu, Feng Cheng, Chaodong Han

{"title":"The role of individual characteristics: How thinking style and domain expertise affect performances on visualization","authors":"S. Tomasi, Jeanny Liu, Feng Cheng, Chaodong Han","doi":"10.1177/14738716231167180","DOIUrl":"https://doi.org/10.1177/14738716231167180","url":null,"abstract":"Widely employed by innovative organizations, a well-designed simple data visualization has been shown to enhance user experience and aid in decision making; while a more embellished visualization may cause overload, it has the potential to create deeper processing and learning. Furthermore, individual characteristics may impact on how users seek information on these different types of visualization. This study proposes that thinking styles (analytical vs holistic) and domain expertise moderate the effects of data visualization types on decision performances in terms of decision accuracy, decision confidence, memory recall, and cognitive load. To test our hypotheses, an experimental study involving visual manipulations in the context of personal finance was conducted on two types of visualizations (simple and clutter). Results suggest that simple visualizations enhance decision accuracy and reduce cognitive load. We also find that cognitive load is further reduced when analytical thinkers are presented with simple visualizations. These findings can help designers understand how user characteristics may be considered when designing and evaluating visualizations for decision makers.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48112104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Visualizing the recovery of patients in Critical Care Units 观察重症监护病房病人的康复情况

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2023-03-21 DOI: 10.1177/14738716231158046

L. Stuart, Christopher Haynes, K. Tantam, R. Gardner, Marco A. Palomino

引用次数: 0

TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade TimberSleuth:利用人类反馈进行视觉异常检测，以减少非法木材贸易

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2023-03-10 DOI: 10.1177/14738716231157081

Debanjan Datta, Nathan Self, J. Simeone, A. Meadows, Willow Outhwaite, Linda Walker, N. Elmqvist, Naren Ramkrishnan

{"title":"TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade","authors":"Debanjan Datta, Nathan Self, J. Simeone, A. Meadows, Willow Outhwaite, Linda Walker, N. Elmqvist, Naren Ramkrishnan","doi":"10.1177/14738716231157081","DOIUrl":"https://doi.org/10.1177/14738716231157081","url":null,"abstract":"Detecting illegal shipments in the global timber trade poses a massive challenge to enforcement agencies. The massive volume and complexity of timber shipments and obfuscations within international trade data, intentional or not, necessitates an automated system to aid in detecting specific shipments that potentially contain illegally harvested wood. To address these requirements we build a novel human-in-the-loop visual analytics system called TIMBERSLEUTH. TimberSleuth uses a novel scoring model reinforced through human feedback to improve upon the relevance of the results of the system while using an off-the-shelf anomaly detection model. Detailed evaluation is performed using real data with synthetic anomalies to test the machine intelligence that drives the system. We design interactive visualizations to enable analysis of pertinent details of anomalous trade records so that analysts can determine if a record is relevant and provide iterative feedback. This feedback is utilized by the machine learning model to improve the precision of the output.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47208835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Is embodied interaction beneficial? A study on navigating network visualizations 具身互动有益吗?导航网络可视化研究

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2023-01-27 DOI: 10.1177/14738716231157082

Helen H. Huang, Hanspeter Pfister, Yalong Yang

{"title":"Is embodied interaction beneficial? A study on navigating network visualizations","authors":"Helen H. Huang, Hanspeter Pfister, Yalong Yang","doi":"10.1177/14738716231157082","DOIUrl":"https://doi.org/10.1177/14738716231157082","url":null,"abstract":"Network visualizations are commonly used to analyze relationships in various contexts, such as social, biological, and geographical interactions. To efficiently explore a network visualization, the user needs to quickly navigate to different parts of the network and analyze local details. Recent advancements in display and interaction technologies inspire new visions for improved visualization and interaction design. Past research into network design has identified some key benefits to visualizing networks in 3D versus 2D. However, little work has been done to study the impact of varying levels of embodied interaction on network analysis. We present a controlled user study that compared four network visualization environments featuring conditions and hardware that leveraged different amounts of embodiment and visual perception ranging from a 2D visualization desktop environment with a standard mouse to a 3D visualization virtual reality environment. We measured the accuracy, speed, perceived workload, and preferences of 20 participants as they completed three network analytic tasks, each of which required unique navigation and substantial effort to complete. For the task that required participants to iterate over the entire visualization rather than focus on a specific area, we found that participants were more accurate using a VR HMD and a trackball mouse than conventional desktop settings. From a workload perspective, VR was generally considered the least mentally demanding and least frustrating to use in two of our three tasks. It was also preferred and ranked as the most effective and visually appealing condition overall. However, using VR to compare two side-by-side networks was difficult, and it was similar to or slower than other conditions in two of the three tasks. Overall, the accuracy and workload advantages of conditions with greater embodiment in specific tasks suggest promising opportunities to create more effective environments in which to analyze network visualizations.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47670991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Providing visual analytics guidance through decision support 通过决策支持提供可视化分析指导

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2023-01-05 DOI: 10.1177/14738716221147289

Wenkai Han, Hans-Jörg Schulz

引用次数: 2