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The Anchoring Effect in Decision-Making with Visual Analytics 基于视觉分析的决策锚定效应
2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI: 10.1109/VAST.2017.8585665
Isaac Cho, Ryan Wesslen, Alireza Karduni, Sashank Santhanam, Samira Shaikh, Wenwen Dou
{"title":"The Anchoring Effect in Decision-Making with Visual Analytics","authors":"Isaac Cho, Ryan Wesslen, Alireza Karduni, Sashank Santhanam, Samira Shaikh, Wenwen Dou","doi":"10.1109/VAST.2017.8585665","DOIUrl":"https://doi.org/10.1109/VAST.2017.8585665","url":null,"abstract":"Anchoring effect is the tendency to focus too heavily on one piece of information when making decisions. In this paper, we present a novel, systematic study and resulting analyses that investigate the effects of anchoring effect on human decision-making using visual analytic systems. Visual analytics interfaces typically contain multiple views that present various aspects of information such as spatial, temporal, and categorical. These views are designed to present complex, heterogeneous data in accessible forms that aid decision-making. However, human decision-making is often hindered by the use of heuristics, or cognitive biases, such as anchoring effect. Anchoring effect can be triggered by the order in which information is presented or the magnitude of information presented. Through carefully designed laboratory experiments, we present evidence of anchoring effect in analysis with visual analytics interfaces when users are primed by representation of different pieces of information. We also describe detailed analyses of users’ interaction logs which reveal the impact of anchoring bias on the visual representation preferred and paths of analysis. We discuss implications for future research to possibly detect and alleviate anchoring bias.Index Terms: K.6.1 [Management of Computing and Information Systems]: Project and People Management-Life Cycle, K.7.m [The Computing Profession]: Miscellaneous-Ethics","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116871811","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}
引用次数: 54
Visual Analysis for Wildlife Preserve based on Muti-systems 基于多系统的野生动物保护区可视化分析
2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI: 10.1109/VAST.2017.8585552
Lijing Lin, Min Lu, Guozheng Li, Chufan Lai, Ruike Jiang, Qiangqiang Liu, Xiaoru Yuan
{"title":"Visual Analysis for Wildlife Preserve based on Muti-systems","authors":"Lijing Lin, Min Lu, Guozheng Li, Chufan Lai, Ruike Jiang, Qiangqiang Liu, Xiaoru Yuan","doi":"10.1109/VAST.2017.8585552","DOIUrl":"https://doi.org/10.1109/VAST.2017.8585552","url":null,"abstract":"In the Grand Challenge of IEEE VAST Challenge 2017, we explore the systems in each mini-challenge, and combine the discoveries logically to provide a comprehensive story happened in the wildlife preserve. In this report, we present technical details for the systems, in order to discuss how to discover the events, and how to combine them to construct an overall picture considering the additional information, newsletter, in the Grand Challenge.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121732634","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}
引用次数: 0
PreserVis, a Visual Analytic System for Traffic and Pollution Patterns - Multi-Challenge Award for Compelling Synthesis of Information 交通和污染模式可视化分析系统PreserVis -引人注目的信息综合多重挑战奖
2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI: 10.1109/VAST.2017.8585719
Qiao Gu, Hang Yin, Lian Chen, Haotian Li, Chengzhong Liu, X. Yue, Huamin Qu
{"title":"PreserVis, a Visual Analytic System for Traffic and Pollution Patterns - Multi-Challenge Award for Compelling Synthesis of Information","authors":"Qiao Gu, Hang Yin, Lian Chen, Haotian Li, Chengzhong Liu, X. Yue, Huamin Qu","doi":"10.1109/VAST.2017.8585719","DOIUrl":"https://doi.org/10.1109/VAST.2017.8585719","url":null,"abstract":"In this report, we propose PreserVis, a data visualization system for inspecting the pattern of the transportation and pollutant release in Boonsong Lekagul Nature Preserve in VAST Challenge 2017. Intuitive clustering and novel visualization methods are used to discover the patterns hidden in the datasets.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124027902","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}
引用次数: 0
WindNebula: Vectorial-Temporal Analysis for Environmental Assessment : VAST Challenge MC2 Award: Multi-challenge Award for Aesthetic Design WindNebula:环境评估的矢量时间分析:VAST挑战MC2奖:美学设计的多重挑战奖
2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI: 10.1109/VAST.2017.8585631
Hui Tang, Wenjie Wu, Zheng Zhou, Sijin Wang, Aijun Huang, Y. Niu, Victor Y. Chen, Cheryl Z. Qian
{"title":"WindNebula: Vectorial-Temporal Analysis for Environmental Assessment : VAST Challenge MC2 Award: Multi-challenge Award for Aesthetic Design","authors":"Hui Tang, Wenjie Wu, Zheng Zhou, Sijin Wang, Aijun Huang, Y. Niu, Victor Y. Chen, Cheryl Z. Qian","doi":"10.1109/VAST.2017.8585631","DOIUrl":"https://doi.org/10.1109/VAST.2017.8585631","url":null,"abstract":"WindNebula joins two datasets, sensor data and meteorological data, to combine wind directions with sensor readings to reveal implicit relations among locations of factories and sensors, pollution intensity, wind direction, and sensor problems. The two major views, vectorial view and temporal view, blend key information of different variables from the IEEE VAST 2017 Mini Challenge 2 dataset. This paper introduces the composition of the WindNebula system, exhibits the components of both views, and discusses the benefits of using this system to gain insights of the dataset.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132993179","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}
引用次数: 0
Temporal Pattern Analysis and Source Detection through Visual Analysis on Multi-Dimensional Time Series Data 基于多维时间序列数据可视化分析的时间模式分析与源检测
2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI: 10.1109/VAST.2017.8585548
Ruike Jiang, Wei Huang, Nan Ma, Fan Hong, Ying Zhao, Xiaoru Yuan
{"title":"Temporal Pattern Analysis and Source Detection through Visual Analysis on Multi-Dimensional Time Series Data","authors":"Ruike Jiang, Wei Huang, Nan Ma, Fan Hong, Ying Zhao, Xiaoru Yuan","doi":"10.1109/VAST.2017.8585548","DOIUrl":"https://doi.org/10.1109/VAST.2017.8585548","url":null,"abstract":"In VAST Challenge 2017, we developed a visual exploration system for detection of sensor anomaly, pattern of chemical distribution and responsible factory for each release of chemical. In this report, we discuss details of our data preprocessing, design, implementation and how we found our answer.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130144665","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}
引用次数: 0
iDVL Visualizes Patterns of Traffic iDVL可视化交通模式
2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI: 10.1109/VAST.2017.8585709
Long Nguyen, Tommy Dang
{"title":"iDVL Visualizes Patterns of Traffic","authors":"Long Nguyen, Tommy Dang","doi":"10.1109/VAST.2017.8585709","DOIUrl":"https://doi.org/10.1109/VAST.2017.8585709","url":null,"abstract":"Presenting patterns of life with novel visualizations and reasoning cause of reduction of local birds via hypotheses are interested for Vast Challenge. Linked views, quick navigation buttons and choice of visualizations contributed to creating ways for ornithologist better finding normal and abnormal patterns of vehicles that may result in bird reduction.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133621377","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}
引用次数: 0
MC1: A Bespoke Analysis Tool for Spatio-temporal Park Traffic Data MC1:一个定制的时空公园交通数据分析工具
2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI: 10.1109/VAST.2017.8585624
Dimitar Kirilov, Isabel Lindmae, A. Burks, Chihua Ma, G. Marai
{"title":"MC1: A Bespoke Analysis Tool for Spatio-temporal Park Traffic Data","authors":"Dimitar Kirilov, Isabel Lindmae, A. Burks, Chihua Ma, G. Marai","doi":"10.1109/VAST.2017.8585624","DOIUrl":"https://doi.org/10.1109/VAST.2017.8585624","url":null,"abstract":"This paper describes a web-based traffic data analysis tool developed for the VAST 2017 Mini Challenge 1. The tool consists of two linked heat maps which allow for the inspection of daily activity for vehicles, as well as a histogram which allows for the analysis of total time spent by vehicles in the park. Combined, these views allow for the analysis of both spatial and temporal patterns in the park preserve.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121258869","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}
引用次数: 0
Visual Statistical Analysis of Environmental Sensor Data 环境传感器数据的可视化统计分析
2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI: 10.1109/VAST.2017.8585515
Bindu Gupta, Kaushal Paneri, Gunjan Sehgal, Karamjit Singh, Geetika Sharma, Gautam M. Shroff
{"title":"Visual Statistical Analysis of Environmental Sensor Data","authors":"Bindu Gupta, Kaushal Paneri, Gunjan Sehgal, Karamjit Singh, Geetika Sharma, Gautam M. Shroff","doi":"10.1109/VAST.2017.8585515","DOIUrl":"https://doi.org/10.1109/VAST.2017.8585515","url":null,"abstract":"We attempted the VAST MC2 challenge following a statistical modelling approach along with interactive visualizations to analyse and extract insights from the data. We use Bayesian networks to model dependencies between given and derived data attributes along with visual analytics techniques to answer the questions posed by the challenge.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"247 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123091016","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}
引用次数: 0
Interactive Visual Alignment of Medieval Text Versions 交互式视觉对齐中世纪文本版本
2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI: 10.1109/VAST.2017.8585505
S. Jänicke, D. Wrisley
{"title":"Interactive Visual Alignment of Medieval Text Versions","authors":"S. Jänicke, D. Wrisley","doi":"10.1109/VAST.2017.8585505","DOIUrl":"https://doi.org/10.1109/VAST.2017.8585505","url":null,"abstract":"Textual criticism consists of the identification and analysis of variant readings among different versions of a text. Being a relatively simple task for modern languages, the collation of medieval text traditions ranges from the complex to the virtually impossible depending on the degree of instability of textual transmission. We present a visual analytics environment that supports computationally aligning such complex textual differences typical of orally inflected medieval poetry. For the purpose of analyzing alignment, we provide interactive visualizations for different text hierarchy levels, specifically, a meso reading view to support investigating repetition and variance at the line level across text segments. In addition to outlining important aspects of our interdisciplinary collaboration, we emphasize the utility of the proposed system by various usage scenarios in medieval French literature.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134547032","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}
引用次数: 18
Exploring Lekagul Sensor Events using Rules, Aggregations, and Selections 使用规则、聚合和选择探索Lekagul传感器事件
2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI: 10.1109/VAST.2017.8585619
B. Cappers
{"title":"Exploring Lekagul Sensor Events using Rules, Aggregations, and Selections","authors":"B. Cappers","doi":"10.1109/VAST.2017.8585619","DOIUrl":"https://doi.org/10.1109/VAST.2017.8585619","url":null,"abstract":"In this paper we demonstrate how we can study multivariate event sequences in the VAST Mini Challenge 1 data set using our system Eventpad, a notepad editor for event data. We illustrate the effectiveness of multivariate regular expressions, pattern aggregations, and selections to define custom events of interest, discover patterns within sequences, and study differences between sequences. Finally, we discuss our analysis process and summarize some patterns and anomalies we discovered in the data set.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125326180","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}
引用次数: 3
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