The Experts below are selected from a list of 8019 Experts worldwide ranked by ideXlab platform
C.k. Ames - One of the best experts on this subject based on the ideXlab platform.
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Visual Depiction of Decision Statements: What is Best for Programmers and Non-Programmers?
Empirical Software Engineering, 1997Co-Authors: James D. Kiper, Brent Auernheimer, C.k. AmesAbstract:This paper reports the results of two experiments investigating differences in comprehensibility of textual and graphical notations for representing decision statements. The first experiment was a replication of a prior experiment that found textual notations to be better than particular graphical notations. After replicating this study, two other hypotheses were investigated in a second experiment. Our first claim is that graphics may be better for technical, non-programmers than they are for programmers because of the great amount of experience that programmers have with textual notations in programming languages. The second is that modifications to graphical forms may improve their usefulness. The results support both of these hypotheses.
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Visual Depiction of Decision Statements: What is Best forProgrammers and Non-Programmers?
Empirical Software Engineering, 1997Co-Authors: James D. Kiper, Brent Auernheimer, C.k. AmesAbstract:This paper reports the results of two experiments investigating differences in comprehensibility of textual and graphical notations for representing decision statements. The first experiment was a replication of a prior experiment that found textual notations to be better than particular graphical notations. After replicating this study, two other hypotheses were investigated in a second experiment. Our first claim is that graphics may be better for technical, non-programmers than they are for programmers because of the great amount of experience that programmers have with textual notations in programming languages. The second is that modifications to graphical forms may improve their usefulness. The results support both of these hypotheses.
Julio A. Ramirez - One of the best experts on this subject based on the ideXlab platform.
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Visual grids for managing data completeness in clinical research datasets
Journal of biomedical informatics, 2014Co-Authors: Robert Kelley, William A. Mattingly, Timothy L. Wiemken, Mohammad S. Khan, Daniel Coats, Daniel Curran, Julia H. Chariker, Julio A. RamirezAbstract:Display Omitted We develop two Visualizations for managing missing data in clinical trial data.Binary completeness grid shows a Visual Depiction of a patient data record.Gradient completeness grid shows a Visual Depiction of an entire dataset.Three datasets were Visualized and studied to improve clinical trial management. Missing data arise in clinical research datasets for reasons ranging from incomplete electronic health records to incorrect trial data collection. This has an adverse effect on analysis performed with the data, but it can also affect the management of a clinical trial itself. We propose two graphical Visualization schemes to aid in managing the completeness of a clinical research dataset: the binary completeness grid (BCG) for single patient observation, and the gradient completeness grid (GCG) for an entire dataset. We use these tools to manage three clinical trials. Two are ongoing observational trials, while the other is a cohort study that is complete. The completeness grids revealed unexpected patterns in our data and enabled us to identify records that should have been purged and identify missing follow-up data from sets of observations thought to be complete. Binary and gradient completeness grids provide a rapid, convenient way to Visualize missing data in clinical datasets.
James D. Kiper - One of the best experts on this subject based on the ideXlab platform.
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Visual Depiction of Decision Statements: What is Best for Programmers and Non-Programmers?
Empirical Software Engineering, 1997Co-Authors: James D. Kiper, Brent Auernheimer, C.k. AmesAbstract:This paper reports the results of two experiments investigating differences in comprehensibility of textual and graphical notations for representing decision statements. The first experiment was a replication of a prior experiment that found textual notations to be better than particular graphical notations. After replicating this study, two other hypotheses were investigated in a second experiment. Our first claim is that graphics may be better for technical, non-programmers than they are for programmers because of the great amount of experience that programmers have with textual notations in programming languages. The second is that modifications to graphical forms may improve their usefulness. The results support both of these hypotheses.
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Visual Depiction of Decision Statements: What is Best forProgrammers and Non-Programmers?
Empirical Software Engineering, 1997Co-Authors: James D. Kiper, Brent Auernheimer, C.k. AmesAbstract:This paper reports the results of two experiments investigating differences in comprehensibility of textual and graphical notations for representing decision statements. The first experiment was a replication of a prior experiment that found textual notations to be better than particular graphical notations. After replicating this study, two other hypotheses were investigated in a second experiment. Our first claim is that graphics may be better for technical, non-programmers than they are for programmers because of the great amount of experience that programmers have with textual notations in programming languages. The second is that modifications to graphical forms may improve their usefulness. The results support both of these hypotheses.
Ramirezjulio - One of the best experts on this subject based on the ideXlab platform.
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Visual grids for managing data completeness in clinical research datasets
Journal of Biomedical Informatics, 2015Co-Authors: R Kelleyrobert, A Mattinglywilliam, L Wiemkentimothy, Khanmohammad, Coatsdaniel, Currandaniel, H Charikerjulia, RamirezjulioAbstract:Display Omitted We develop two Visualizations for managing missing data in clinical trial data.Binary completeness grid shows a Visual Depiction of a patient data record.Gradient completeness grid ...
Maria Bielikova - One of the best experts on this subject based on the ideXlab platform.
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personalized view based search and Visualization as a means for deep semantic web data access
The Web Conference, 2008Co-Authors: Michal Tvarozek, Maria BielikovaAbstract:Effective access to and navigation in information stored in deep Web ontological repositories or relational databases has yet to be realized due to issues with usability of user interfaces and the overall scope and complexity of information as well as the nature of exploratory user tasks. We propose the integration and adaptation of novel navigation and Visualization approaches to faceted browsing such as Visual Depiction of facets and restrictions, Visual navigation in (clusters of) search results and graph like exploration of individual search results' properties.
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WWW - Personalized view-based search and Visualization as a means for deep/semantic web data access
Proceeding of the 17th international conference on World Wide Web - WWW '08, 2008Co-Authors: Michal Tvarozek, Maria BielikovaAbstract:Effective access to and navigation in information stored in deep Web ontological repositories or relational databases has yet to be realized due to issues with usability of user interfaces and the overall scope and complexity of information as well as the nature of exploratory user tasks. We propose the integration and adaptation of novel navigation and Visualization approaches to faceted browsing such as Visual Depiction of facets and restrictions, Visual navigation in (clusters of) search results and graph like exploration of individual search results' properties.
