{"title":"Focus Group Methodology for Evaluating Information Visualization Techniques and Tools","authors":"Riccardo Mazza, A. Berre","doi":"10.1109/IV.2007.51","DOIUrl":"https://doi.org/10.1109/IV.2007.51","url":null,"abstract":"This paper proposes a structured methodology that uses focus group interviews to evaluate Information Visualization techniques and tools. Focus groups are particularly suitable for the collection of qualitative data from users, and allow researchers to uncover unexpected problems that cannot be identified through analytical evaluations or controlled experiments. The approach relies on open-ended questions to explore user attitudes, feelings, and beliefs, but also indicates a number of questions designed to explore specific cognitive tasks related to Information Visualization systems. We argue that focusing the discussion on cognitive tasks allows for the generation of user comments that are more effective than informal and unstructured interviews.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114250977","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":"Mapping Modern Science Using Co-citation Analysis","authors":"Ayaka Saka, M. Igami","doi":"10.1109/IV.2007.77","DOIUrl":"https://doi.org/10.1109/IV.2007.77","url":null,"abstract":"Bibliometric analysis is used as a measuring activity technique for basic research. There are many country level analyses of trends in scientific publications. These analyses give us an understanding of the macro-scale character of scientific activities. However, it is difficult to capture the qualitative evolution of scientific activities through them. In this regard, a meso-scale analysis of science activities, i.e., analysis of \"research areas\", is suitable for grasping qualitative changes in scientific activities. In this study, we develop a new method for mapping science at the research area level. Our method consists of two parts: constructing research areas from scientific publications and content analysis by experts. Research areas are explored through a co-citation analysis, and a map of science was generated to analyze how research areas relate to each other. This method contributes to endeavours to understand and track the changing nature of science.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114747629","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":"Movies and Actors: Mapping the Internet Movie Database","authors":"B. Herr, W. Ke, E. F. Hardy, K. Börner","doi":"10.1109/IV.2007.78","DOIUrl":"https://doi.org/10.1109/IV.2007.78","url":null,"abstract":"This paper presents the results of an analysis and visualization of 428,440 movies from the Internet Movie Database (IMDb) provided for the Graph Drawing 2005 contest. Simple statistics are presented as well as a tapestry of all movies with an overlay of the giant component of the co-actor network. Academy award winners are highlighted. Major insights are discussed.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125941853","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":"Without Knowledge Visualization? Proposing a Deconstructivist Approach to Metaphor, Meaning and Perception","authors":"Stefan Bertschi","doi":"10.1109/IV.2007.144","DOIUrl":"https://doi.org/10.1109/IV.2007.144","url":null,"abstract":"This paper is designed to examine whether metaphor, meaning and perception are sufficiently dealt with in knowledge visualization. This culminates in the following hypothesis: because knowledge visualization is a process of construction and reconstruction, the only reasonable approach to evaluate its mechanisms and effectiveness has to be deconstructivist. Such an approach is introduced and examined, leading to primary conclusions and an outlook on a theoretical foundation of an upcoming 'scientific discipline'.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124344406","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":"Visualization of Knowledge Structures","authors":"Xia Lin, Dongming Zhang","doi":"10.1109/IV.2007.132","DOIUrl":"https://doi.org/10.1109/IV.2007.132","url":null,"abstract":"In this article, visual concept explorer (VCE), a concept mapping tool, is introduced and its design principles are described. VCE creates dynamic concept maps for the user and facilitates user's visual interaction to concepts and documents. Its central idea is to make implicit knowledge structures explicit. As an example of practical knowledge mapping application, VCE has characteristics of both information visualization and knowledge visualization.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123683741","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}
B. Halligan, S. Mirza, M. Pellitteri-Hahn, M. Olivier, A. Greene
{"title":"Visualizing Quantitative Proteomics Datasets using Treemaps","authors":"B. Halligan, S. Mirza, M. Pellitteri-Hahn, M. Olivier, A. Greene","doi":"10.1109/IV.2007.136","DOIUrl":"https://doi.org/10.1109/IV.2007.136","url":null,"abstract":"One of the major challenges of large scale mass spectrometry based proteomics experiments is organizing and visualizing the data in such a way so that meaningful biological conclusions can be drawn from the data. Our tool, ZoomQuant, is capable of quantitating relative protein abundance between two samples in stable isotope labeled quantitative proteomics experiments. The resulting protein ratios are then annotated and categorized using the GO ontology terms. Sets of data representing different biological states can then be compared quantitatively and the results formatted for dynamic visualization. Using TreeMap, the user can visualize the quantitative differences between the biological states in a single view. The peptide or scan count and ratio for individual proteins are displayed and organized by the GO ontologies so that the user can easily see the global differences in protein expression between the two samples.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131800851","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":"How to Induce the Beholder to Persuade Himself: Learning from Advertising Research for Information Visualization","authors":"R. Lengler","doi":"10.1109/IV.2007.66","DOIUrl":"https://doi.org/10.1109/IV.2007.66","url":null,"abstract":"Research on the interplay of cognition and effect in the interpretation of visuals has made significant theoretical advances. This literature review highlights three themes which have emerged in advertising research. First it looks at the determinants constituting and influencing 'likeability'- the best predictor of advertisement effectiveness. Second it presents evidence how emotional advertising frames and shapes perception and how it could influence persuasion. Finally it discusses the role of 'co-authoring' in the interpretation of visuals and how it does affect persuasion over the emotional route.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130532012","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":"Real-time Interactive Visualization of Information Hierarchies","authors":"A. Rusu, C. Santiago, R. Jianu","doi":"10.1109/IV.2007.92","DOIUrl":"https://doi.org/10.1109/IV.2007.92","url":null,"abstract":"An information hierarchy is a collection of relational information that is arranged in a ranking organization where each entity is subject to a single other entity, except for the top (root) element. The usefulness of a visualization of an information hierarchy depends on its capability of conveying the information quickly and clearly. The interaction with the information hierarchy allows a user to further analyze its underlying structures and relationships, which is essential for the effectiveness of the visualization. In this paper we present a novel method to interactively visualize information hierarchies in real-time. We use the World Wide Web as an application example of our techniques. The result is a novel Web browsing and visualization method with an innovative combination of features: (i) Web data is retrieved and displayed in real-time (i.e. Web data is not pre-recorded), (ii) browsing and visualization are synchronized together in the same interface, (iii) tree-based visualization engine, and (iv) space-efficient display of visualization. Our study shows that users are able to orient themselves better in cyberspace and locate Web pages of interest faster.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115028068","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}
Jiyang Chen, Tong Zheng, William Thorne, Osmar R Zaiane, R. Goebel
{"title":"Visual Data Mining of Web Navigational Data","authors":"Jiyang Chen, Tong Zheng, William Thorne, Osmar R Zaiane, R. Goebel","doi":"10.1109/IV.2007.123","DOIUrl":"https://doi.org/10.1109/IV.2007.123","url":null,"abstract":"Discovering web navigational trends and understanding data mining results is undeniably advantageous to web designers and web-based application builders. It is also desirable to interactively investigate web access data and patterns, to allows ad-hoc discovery and examination of patterns that are not apriori known. Visualizing the usage data in the context of the web site structure is of major importance, as it puts web access requests and their connectivity in perspective. Various visualization tools have been developed for this task, but often fail to provide visual data mining functionalities to generate new patterns. Here we present our visual data mining system, WebViz, which allows interactive investigation of web usage data within their structure context, as well as ad-hoc knowledge pattern discovery on web navigational behaviour.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129553331","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":"What is a diagram?","authors":"Kamaran Fathulla, A. Basden","doi":"10.1109/IV.2007.143","DOIUrl":"https://doi.org/10.1109/IV.2007.143","url":null,"abstract":"This paper responds to renewed interest in the centuries old question of what is a diagram. Existing status of our understanding of diagrams is seen as unsatisfactory and confusing. This paper responds to this by proposing a framework for understanding diagrams based on symbolic and spatial mapping. The framework deals with some complex problems any useful definition of diagrams has to deal with. These problems are the variety of diagrams, meaningful dynamics of diagramming, handling change in diagrams in a well formed way, and all of this in the context of semantically mixed diagrams. A brief description of the framework is given discussing how it addresses the problems.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132558058","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}