The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform
Andreas Butz - One of the best experts on this subject based on the ideXlab platform.
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PhotoSim: Tightly Integrating Image Analysis into a Photo Browsing UI
2011Co-Authors: Chen Yaxi, Andreas ButzAbstract:Abstract. Current photo browsers for personal photo collections mostly use the Folder Structure or camera-recorded time stamps as the only ordering principle. Some also allow manually provided meta-data (tags) for organizing and retrieving photos, but currently, only professional tools allow a pre-grouping of photos by image similarity. We believe that similarity is indeed a useful criterion both for image retrieval and casual browsing, and that the tight integration of content analysis techniques in media UIs in general can lead to more powerful UIs. In this paper we present a prototype, in which we have tightly integrated image analysis techniques and user feedback into a zoomable user interface for browsing and sorting digital photos. We have discussed our system with domain experts and received encouragement as well as valuable ideas for future research
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Smart Graphics - PhotoSim: Tightly Integrating Image Analysis into a Photo Browsing UI
Smart Graphics, 1Co-Authors: Ya-xi Chen, Andreas ButzAbstract:Current photo browsers for personal photo collections mostly use the Folder Structure or camera-recorded time stamps as the only ordering principle. Some also allow manually provided meta-data (tags) for organizing and retrieving photos, but currently, only professional tools allow a pre-grouping of photos by image similarity. We believe that similarity is indeed a useful criterion both for image retrieval and casual browsing, and that the tight integration of content analysis techniques in media UIs in general can lead to more powerful UIs. In this paper we present a prototype, in which we have tightly integrated image analysis techniques and user feedback into a zoomable user interface for browsing and sorting digital photos. We have discussed our system with domain experts and received encouragement as well as valuable ideas for future research.
Anand Ramamoorthy - One of the best experts on this subject based on the ideXlab platform.
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CHI - How do we find personal files?: the effect of OS, presentation & depth on file navigation
Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12, 2012Co-Authors: Ofer Bergman, Steve Whittaker, Mark Sanderson, Rafi Nachmias, Anand RamamoorthyAbstract:Folder navigation is the main way that computer users retrieve their personal files. However we know surprisingly little about navigation, particularly about how it is affected by the operating system used, the interface presentation and the Folder Structure. To investigate this, we asked 289 participants to retrieve 1,109 of their own active files. We analyzed the 4,948 resulting retrieval steps, i.e. moves through the hierarchical Folder tree. Results show: (a) significant differences in overall retrieval time between PC and Mac that arise from different organizational strategies rather than interface design; (b) the default Windows presentation is suboptimal - if changed, retrieval time could be reduced substantially and (c) contrary to our expectations, Folder depth did not affect step duration. We discuss possible reasons for these results and suggest directions for future research.
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The effect of Folder Structure on personal file navigation
Journal of the American Society for Information Science and Technology, 2010Co-Authors: Ofer Bergman, Steve Whittaker, Mark Sanderson, Rafi Nachmias, Anand RamamoorthyAbstract:Folder navigation is the main way that personal computer users retrieve their own files. People dedicate considerable time to creating systematic Structures to facilitate such retrieval. Despite the prevalence of both manual organization and navigation, there is very little systematic data about how people actually carry out navigation, or about the relation between organization Structure and retrieval parameters. The aims of our research were therefore to study users' Folder Structure, personal file navigation, and the relations between them. We asked 296 participants to retrieve 1,131 of their active files and analyzed each of the 5,035 navigation steps in these retrievals. Folder Structures were found to be shallow (files were retrieved from mean depth of 2.86 Folders), with small Folders (a mean of 11.82 files per Folder) containing many subFolders (M=10.64). Navigation was largely successful and efficient with participants successfully accessing 94% of their files and taking 14.76 seconds to do this on average. Retrieval time and success depended on Folder size and depth. We therefore found the users' decision to avoid both deep Structure and large Folders to be adaptive. Finally, we used a predictive model to formulate the effect of Folder depth and Folder size on retrieval time, and suggested an optimization point in this trade-off
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the effect of Folder Structure on personal file navigation
Journal of the Association for Information Science and Technology, 2010Co-Authors: Ofer Bergman, Steve Whittaker, Mark Sanderson, Rafi Nachmias, Anand RamamoorthyAbstract:Folder navigation is the main way that personal computer users retrieve their own files. People dedicate considerable time to creating systematic Structures to facilitate such retrieval. Despite the prevalence of both manual organization and navigation, there is very little systematic data about how people actually carry out navigation, or about the relation between organization Structure and retrieval parameters. The aims of our research were therefore to study users' Folder Structure, personal file navigation, and the relations between them. We asked 296 participants to retrieve 1,131 of their active files and analyzed each of the 5,035 navigation steps in these retrievals. Folder Structures were found to be shallow (files were retrieved from mean depth of 2.86 Folders), with small Folders (a mean of 11.82 files per Folder) containing many subFolders (M=10.64). Navigation was largely successful and efficient with participants successfully accessing 94p of their files and taking 14.76 seconds to do this on average. Retrieval time and success depended on Folder size and depth. We therefore found the users' decision to avoid both deep Structure and large Folders to be adaptive. Finally, we used a predictive model to formulate the effect of Folder depth and Folder size on retrieval time, and suggested an optimization point in this trade-off. © 2010 Wiley Periodicals, Inc.
Ofer Bergman - One of the best experts on this subject based on the ideXlab platform.
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CHI - How do we find personal files?: the effect of OS, presentation & depth on file navigation
Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12, 2012Co-Authors: Ofer Bergman, Steve Whittaker, Mark Sanderson, Rafi Nachmias, Anand RamamoorthyAbstract:Folder navigation is the main way that computer users retrieve their personal files. However we know surprisingly little about navigation, particularly about how it is affected by the operating system used, the interface presentation and the Folder Structure. To investigate this, we asked 289 participants to retrieve 1,109 of their own active files. We analyzed the 4,948 resulting retrieval steps, i.e. moves through the hierarchical Folder tree. Results show: (a) significant differences in overall retrieval time between PC and Mac that arise from different organizational strategies rather than interface design; (b) the default Windows presentation is suboptimal - if changed, retrieval time could be reduced substantially and (c) contrary to our expectations, Folder depth did not affect step duration. We discuss possible reasons for these results and suggest directions for future research.
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The effect of Folder Structure on personal file navigation
Journal of the American Society for Information Science and Technology, 2010Co-Authors: Ofer Bergman, Steve Whittaker, Mark Sanderson, Rafi Nachmias, Anand RamamoorthyAbstract:Folder navigation is the main way that personal computer users retrieve their own files. People dedicate considerable time to creating systematic Structures to facilitate such retrieval. Despite the prevalence of both manual organization and navigation, there is very little systematic data about how people actually carry out navigation, or about the relation between organization Structure and retrieval parameters. The aims of our research were therefore to study users' Folder Structure, personal file navigation, and the relations between them. We asked 296 participants to retrieve 1,131 of their active files and analyzed each of the 5,035 navigation steps in these retrievals. Folder Structures were found to be shallow (files were retrieved from mean depth of 2.86 Folders), with small Folders (a mean of 11.82 files per Folder) containing many subFolders (M=10.64). Navigation was largely successful and efficient with participants successfully accessing 94% of their files and taking 14.76 seconds to do this on average. Retrieval time and success depended on Folder size and depth. We therefore found the users' decision to avoid both deep Structure and large Folders to be adaptive. Finally, we used a predictive model to formulate the effect of Folder depth and Folder size on retrieval time, and suggested an optimization point in this trade-off
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the effect of Folder Structure on personal file navigation
Journal of the Association for Information Science and Technology, 2010Co-Authors: Ofer Bergman, Steve Whittaker, Mark Sanderson, Rafi Nachmias, Anand RamamoorthyAbstract:Folder navigation is the main way that personal computer users retrieve their own files. People dedicate considerable time to creating systematic Structures to facilitate such retrieval. Despite the prevalence of both manual organization and navigation, there is very little systematic data about how people actually carry out navigation, or about the relation between organization Structure and retrieval parameters. The aims of our research were therefore to study users' Folder Structure, personal file navigation, and the relations between them. We asked 296 participants to retrieve 1,131 of their active files and analyzed each of the 5,035 navigation steps in these retrievals. Folder Structures were found to be shallow (files were retrieved from mean depth of 2.86 Folders), with small Folders (a mean of 11.82 files per Folder) containing many subFolders (M=10.64). Navigation was largely successful and efficient with participants successfully accessing 94p of their files and taking 14.76 seconds to do this on average. Retrieval time and success depended on Folder size and depth. We therefore found the users' decision to avoid both deep Structure and large Folders to be adaptive. Finally, we used a predictive model to formulate the effect of Folder depth and Folder size on retrieval time, and suggested an optimization point in this trade-off. © 2010 Wiley Periodicals, Inc.
Juan F. Ramil - One of the best experts on this subject based on the ideXlab platform.
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IEEE METRICS - The evolution of source Folder Structure in actively evolved open source systems
2004Co-Authors: Andrea Capiluppi, Maurizio Morisio, Juan F. RamilAbstract:Predicting when and how a software system evolves is one of the most fascinating challenges of software engineering. No matter what approach one is using to study such evolution, empirical studies, including observations of systems used in the real world, and of their processes, are needed in order to define correlations, find recurring patterns, and eventually predict how systems are likely to evolve. In the empirical study presented in this paper, we take 25 software systems released as open source, and observe their evolution. Our focus is not only on how much systems grow in size, but rather on how code Structure is adapted and gets modified over time and releases. The goal here is to recognize recurring patterns and practices used in evolving long-lived real world software systems. In our study we find three dominant patterns of code Structure evolution of open source systems: horizontal expansion, vertical expansion, vertical shrinkage By detailed studied of exemplars of these three patterns one can identify under which conditions a particular pattern is more likely to prevail than the others.
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the evolution of source Folder Structure in actively evolved open source systems
IEEE International Software Metrics Symposium, 2004Co-Authors: Andrea Capiluppi, Maurizio Morisio, Juan F. RamilAbstract:Predicting when and how a software system evolves is one of the most fascinating challenges of software engineering. No matter what approach one is using to study such evolution, empirical studies, including observations of systems used in the real world, and of their processes, are needed in order to define correlations, find recurring patterns, and eventually predict how systems are likely to evolve. In the empirical study presented in this paper, we take 25 software systems released as open source, and observe their evolution. Our focus is not only on how much systems grow in size, but rather on how code Structure is adapted and gets modified over time and releases. The goal here is to recognize recurring patterns and practices used in evolving long-lived real world software systems. In our study we find three dominant patterns of code Structure evolution of open source systems: horizontal expansion, vertical expansion, vertical shrinkage By detailed studied of exemplars of these three patterns one can identify under which conditions a particular pattern is more likely to prevail than the others.
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IWPC - Structural evolution of an open source system: a case study
Proceedings. 12th IEEE International Workshop on Program Comprehension 2004., 1Co-Authors: Andrea Capiluppi, Maurizio Morisio, Juan F. RamilAbstract:Software evolution empirical studies are made possible only when data is available and easily collectable. Open source software provides a good opportunity for observing software products in various phases of their evolution, growth and maturity. One of the aspects that have not been analyzed yet through empirical studies is the relation that exists between code components growth and the evolving code Structure. In this paper, we look at the growth of code elements by measuring the total number of files per release and also by visualizing the Folder Structure as a tree. Both, the number of files and the shape of the Folder tree Structure offer proxies to study the evolving complexity of the system. In this study, a number of hypotheses about the evolutionary patterns in the size of files and Folders, in the Folder tree Structure, reflecting common assumptions on software engineering and open source are tested against empirical data reflecting the evolution of the ARLA system. We also relate some of the observed patterns to the arrival rate of new developers. Results show that the number of code components (files and Folders) over releases can be interpreted as a linear trend with a superimposed ripple. We also describe the more apparent characteristics of the evolution of the Folder tree Structure. Furthermore, we observe that the average size of files and Folders tends to stabilize over releases. The cumulative number of people who have been involved as developers of the system follows a trend which resembles that of the size in files over releases, suggesting that the latter could provide a good indicator for rate of work and productivity. There was no apparent relation between the arrival rate of developers and the changes observed in the code Structure.
Rafi Nachmias - One of the best experts on this subject based on the ideXlab platform.
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CHI - How do we find personal files?: the effect of OS, presentation & depth on file navigation
Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12, 2012Co-Authors: Ofer Bergman, Steve Whittaker, Mark Sanderson, Rafi Nachmias, Anand RamamoorthyAbstract:Folder navigation is the main way that computer users retrieve their personal files. However we know surprisingly little about navigation, particularly about how it is affected by the operating system used, the interface presentation and the Folder Structure. To investigate this, we asked 289 participants to retrieve 1,109 of their own active files. We analyzed the 4,948 resulting retrieval steps, i.e. moves through the hierarchical Folder tree. Results show: (a) significant differences in overall retrieval time between PC and Mac that arise from different organizational strategies rather than interface design; (b) the default Windows presentation is suboptimal - if changed, retrieval time could be reduced substantially and (c) contrary to our expectations, Folder depth did not affect step duration. We discuss possible reasons for these results and suggest directions for future research.
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The effect of Folder Structure on personal file navigation
Journal of the American Society for Information Science and Technology, 2010Co-Authors: Ofer Bergman, Steve Whittaker, Mark Sanderson, Rafi Nachmias, Anand RamamoorthyAbstract:Folder navigation is the main way that personal computer users retrieve their own files. People dedicate considerable time to creating systematic Structures to facilitate such retrieval. Despite the prevalence of both manual organization and navigation, there is very little systematic data about how people actually carry out navigation, or about the relation between organization Structure and retrieval parameters. The aims of our research were therefore to study users' Folder Structure, personal file navigation, and the relations between them. We asked 296 participants to retrieve 1,131 of their active files and analyzed each of the 5,035 navigation steps in these retrievals. Folder Structures were found to be shallow (files were retrieved from mean depth of 2.86 Folders), with small Folders (a mean of 11.82 files per Folder) containing many subFolders (M=10.64). Navigation was largely successful and efficient with participants successfully accessing 94% of their files and taking 14.76 seconds to do this on average. Retrieval time and success depended on Folder size and depth. We therefore found the users' decision to avoid both deep Structure and large Folders to be adaptive. Finally, we used a predictive model to formulate the effect of Folder depth and Folder size on retrieval time, and suggested an optimization point in this trade-off
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the effect of Folder Structure on personal file navigation
Journal of the Association for Information Science and Technology, 2010Co-Authors: Ofer Bergman, Steve Whittaker, Mark Sanderson, Rafi Nachmias, Anand RamamoorthyAbstract:Folder navigation is the main way that personal computer users retrieve their own files. People dedicate considerable time to creating systematic Structures to facilitate such retrieval. Despite the prevalence of both manual organization and navigation, there is very little systematic data about how people actually carry out navigation, or about the relation between organization Structure and retrieval parameters. The aims of our research were therefore to study users' Folder Structure, personal file navigation, and the relations between them. We asked 296 participants to retrieve 1,131 of their active files and analyzed each of the 5,035 navigation steps in these retrievals. Folder Structures were found to be shallow (files were retrieved from mean depth of 2.86 Folders), with small Folders (a mean of 11.82 files per Folder) containing many subFolders (M=10.64). Navigation was largely successful and efficient with participants successfully accessing 94p of their files and taking 14.76 seconds to do this on average. Retrieval time and success depended on Folder size and depth. We therefore found the users' decision to avoid both deep Structure and large Folders to be adaptive. Finally, we used a predictive model to formulate the effect of Folder depth and Folder size on retrieval time, and suggested an optimization point in this trade-off. © 2010 Wiley Periodicals, Inc.