Jeffrey P. Bigham, R. S. Kaminsky, Jeffrey Nichols
The deep web contains an order of magnitude more information than the surface web, but that information is hidden behind the web forms of a large number of web sites. Metasearch engines can help users explore this information by aggregating results from multiple resources, but previously these could only be created and maintained by programmers. In this paper, we explore the automatic creation of metasearch mash-ups by mining the web interactions of multiple web users to find relations between query forms on different web sites. We also present an implemented system called TX2 that uses those connections to search multiple deep web resources simultaneously and integrate the results in context in a single results page. TX2 illustrates the promise of constructing mash-ups automatically and the potential of mining web interactions to explore deep web resources.
{"title":"Mining web interactions to automatically create mash-ups","authors":"Jeffrey P. Bigham, R. S. Kaminsky, Jeffrey Nichols","doi":"10.1145/1622176.1622215","DOIUrl":"https://doi.org/10.1145/1622176.1622215","url":null,"abstract":"The deep web contains an order of magnitude more information than the surface web, but that information is hidden behind the web forms of a large number of web sites. Metasearch engines can help users explore this information by aggregating results from multiple resources, but previously these could only be created and maintained by programmers. In this paper, we explore the automatic creation of metasearch mash-ups by mining the web interactions of multiple web users to find relations between query forms on different web sites. We also present an implemented system called TX2 that uses those connections to search multiple deep web resources simultaneously and integrate the results in context in a single results page. TX2 illustrates the promise of constructing mash-ups automatically and the potential of mining web interactions to explore deep web resources.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"260 1","pages":"203-212"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79638321","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}
J. Teevan, S. Dumais, Daniel J. Liebling, Richard L. Hughes
The Web is a dynamic information environment. Web content changes regularly and people revisit Web pages frequently. But the tools used to access the Web, including browsers and search engines, do little to explicitly support these dynamics. In this paper we present DiffIE, a browser plug-in that makes content change explicit in a simple and lightweight manner. DiffIE caches the pages a person visits and highlights how those pages have changed when the person returns to them. We describe how we built a stable, reliable, and usable system, including how we created compact, privacy-preserving page representations to support fast difference detection. Via a longitudinal user study, we explore how DiffIE changed the way people dealt with changing content. We find that much of its benefit came not from exposing expected change, but rather from drawing attention to unexpected change and helping people build a richer understanding of the Web content they frequent.
{"title":"Changing how people view changes on the web","authors":"J. Teevan, S. Dumais, Daniel J. Liebling, Richard L. Hughes","doi":"10.1145/1622176.1622221","DOIUrl":"https://doi.org/10.1145/1622176.1622221","url":null,"abstract":"The Web is a dynamic information environment. Web content changes regularly and people revisit Web pages frequently. But the tools used to access the Web, including browsers and search engines, do little to explicitly support these dynamics. In this paper we present DiffIE, a browser plug-in that makes content change explicit in a simple and lightweight manner. DiffIE caches the pages a person visits and highlights how those pages have changed when the person returns to them. We describe how we built a stable, reliable, and usable system, including how we created compact, privacy-preserving page representations to support fast difference detection. Via a longitudinal user study, we explore how DiffIE changed the way people dealt with changing content. We find that much of its benefit came not from exposing expected change, but rather from drawing attention to unexpected change and helping people build a richer understanding of the Web content they frequent.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"46 3 1","pages":"237-246"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81036539","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}
Current interactions on direct-touch interactive surfaces are often modeled based on properties of the input channel that are common in traditional graphical user interfaces (GUI) such as x-y coordinate information. Leveraging additional information available on the surfaces could potentially result in richer and novel interactions. In this paper we specifically explore the role of finger orientation. This property is typically ignored in touch-based interactions partly because of the ambiguity in determining it solely from the contact shape. We present a simple algorithm that unambiguously detects the directed finger orientation vector in real-time from contact information only, by considering the dynamics of the finger landing process. Results of an experimental evaluation show that our algorithm is stable and accurate. We then demonstrate how finger orientation can be leveraged to enable novel interactions and to infer higher-level information such as hand occlusion or user position. We present a set of orientation-aware interaction techniques and widgets for direct-touch surfaces.
{"title":"Detecting and leveraging finger orientation for interaction with direct-touch surfaces","authors":"Feng Wang, Xiang Cao, Xiangshi Ren, Pourang Irani","doi":"10.1145/1622176.1622182","DOIUrl":"https://doi.org/10.1145/1622176.1622182","url":null,"abstract":"Current interactions on direct-touch interactive surfaces are often modeled based on properties of the input channel that are common in traditional graphical user interfaces (GUI) such as x-y coordinate information. Leveraging additional information available on the surfaces could potentially result in richer and novel interactions. In this paper we specifically explore the role of finger orientation. This property is typically ignored in touch-based interactions partly because of the ambiguity in determining it solely from the contact shape. We present a simple algorithm that unambiguously detects the directed finger orientation vector in real-time from contact information only, by considering the dynamics of the finger landing process. Results of an experimental evaluation show that our algorithm is stable and accurate. We then demonstrate how finger orientation can be leveraged to enable novel interactions and to infer higher-level information such as hand occlusion or user position. We present a set of orientation-aware interaction techniques and widgets for direct-touch surfaces.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"59 1","pages":"23-32"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84591133","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}
PhotoelasticTouch is a novel tabletop system designed to intuitively facilitate touch-based interaction via real objects made from transparent elastic material. The system utilizes vision-based recognition techniques and the photoelastic properties of the transparent rubber to recognize deformed regions of the elastic material. Our system works with elastic materials over a wide variety of shapes and does not require any explicit visual markers. Compared to traditional interactive surfaces, our 2.5 dimensional interface system enables direct touch interaction and soft tactile feedback. In this paper we present our force sensing technique using photoelasticity and describe the implementation of our prototype system. We also present three practical applications of PhotoelasticTouch, a force-sensitive touch panel, a tangible face application, and a paint application.
{"title":"PhotoelasticTouch: transparent rubbery tangible interface using an LCD and photoelasticity","authors":"Toshiki Sato, Haruko Mamiya, H. Koike, K. Fukuchi","doi":"10.1145/1622176.1622185","DOIUrl":"https://doi.org/10.1145/1622176.1622185","url":null,"abstract":"PhotoelasticTouch is a novel tabletop system designed to intuitively facilitate touch-based interaction via real objects made from transparent elastic material. The system utilizes vision-based recognition techniques and the photoelastic properties of the transparent rubber to recognize deformed regions of the elastic material. Our system works with elastic materials over a wide variety of shapes and does not require any explicit visual markers. Compared to traditional interactive surfaces, our 2.5 dimensional interface system enables direct touch interaction and soft tactile feedback. In this paper we present our force sensing technique using photoelasticity and describe the implementation of our prototype system. We also present three practical applications of PhotoelasticTouch, a force-sensitive touch panel, a tangible face application, and a paint application.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"1 1","pages":"43-50"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87630358","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}
Daniel J. Wigdor, Sarah Williams, Michael Cronin, R. Levy, Katie White, Maxim Mazeev, Hrvoje Benko
We present Ripples, a system which enables visualizations around each contact point on a touch display and, through these visualizations, provides feedback to the user about successes and errors of their touch interactions. Our visualization system is engineered to be overlaid on top of existing applications without requiring the applications to be modified in any way, and functions independently of the application's responses to user input. Ripples reduces the fundamental problem of ambiguity of feedback when an action results in an unexpected behaviour. This ambiguity can be caused by a wide variety of sources. We describe the ambiguity problem, and identify those sources. We then define a set of visual states and transitions needed to resolve this ambiguity, of use to anyone designing touch applications or systems. We then present the Ripples implementation of visualizations for those states, and the results of a user study demonstrating user preference for the system, and demonstrating its utility in reducing errors.
{"title":"Ripples: utilizing per-contact visualizations to improve user interaction with touch displays","authors":"Daniel J. Wigdor, Sarah Williams, Michael Cronin, R. Levy, Katie White, Maxim Mazeev, Hrvoje Benko","doi":"10.1145/1622176.1622180","DOIUrl":"https://doi.org/10.1145/1622176.1622180","url":null,"abstract":"We present Ripples, a system which enables visualizations around each contact point on a touch display and, through these visualizations, provides feedback to the user about successes and errors of their touch interactions. Our visualization system is engineered to be overlaid on top of existing applications without requiring the applications to be modified in any way, and functions independently of the application's responses to user input. Ripples reduces the fundamental problem of ambiguity of feedback when an action results in an unexpected behaviour. This ambiguity can be caused by a wide variety of sources. We describe the ambiguity problem, and identify those sources. We then define a set of visual states and transitions needed to resolve this ambiguity, of use to anyone designing touch applications or systems. We then present the Ripples implementation of visualizations for those states, and the results of a user study demonstrating user preference for the system, and demonstrating its utility in reducing errors.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"5 1","pages":"3-12"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72905284","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}
Dido is an application (and application development environment) in a web page. It is a single web page containing rich structured data, an AJAXy interactive visualizer/editor for that data, and a "metaeditor" for WYSIWYG editing of the visualizer/editor. Historically, users have been limited to the data schemas, visualizations, and interactions offered by a small number of heavyweight applications. In contrast, Dido encourages and enables the end user to edit (not code) in his or her web browser a distinct ephemeral interaction "wrapper" for each data collection that is specifically suited to its intended use. Dido's active document metaphor has been explored before but we show how, given today's web infrastructure, it can be deployed in a small self-contained HTML document without touching a web client or server.
{"title":"The web page as a WYSIWYG end-user customizable database-backed information management application","authors":"David R Karger, S. Ostler, Ryan Lee","doi":"10.1145/1622176.1622223","DOIUrl":"https://doi.org/10.1145/1622176.1622223","url":null,"abstract":"Dido is an application (and application development environment) in a web page. It is a single web page containing rich structured data, an AJAXy interactive visualizer/editor for that data, and a \"metaeditor\" for WYSIWYG editing of the visualizer/editor. Historically, users have been limited to the data schemas, visualizations, and interactions offered by a small number of heavyweight applications. In contrast, Dido encourages and enables the end user to edit (not code) in his or her web browser a distinct ephemeral interaction \"wrapper\" for each data collection that is specifically suited to its intended use. Dido's active document metaphor has been explored before but we show how, given today's web infrastructure, it can be deployed in a small self-contained HTML document without touching a web client or server.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"1 1","pages":"257-260"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88647259","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}
Asynchronous collaborators often use freeform ink annotations to point to visually salient perceptual features of line charts such as peaks or humps, valleys, rising slopes and declining slopes. We present a set of techniques for interpreting such annotations to algorithmically identify the corresponding perceptual parts. Our approach is to first apply a parts-based segmentation algorithm that identifies the visually salient perceptual parts in the chart. Our system then analyzes the freeform annotations to infer the corresponding peaks, valleys or sloping segments. Once the system has identified the perceptual parts it can highlight them to draw further attention and reduce ambiguity of interpretation in asynchronous collaborative discussions.
{"title":"Perceptual interpretation of ink annotations on line charts","authors":"Nicholas Kong, Maneesh Agrawala","doi":"10.1145/1622176.1622219","DOIUrl":"https://doi.org/10.1145/1622176.1622219","url":null,"abstract":"Asynchronous collaborators often use freeform ink annotations to point to visually salient perceptual features of line charts such as peaks or humps, valleys, rising slopes and declining slopes. We present a set of techniques for interpreting such annotations to algorithmically identify the corresponding perceptual parts. Our approach is to first apply a parts-based segmentation algorithm that identifies the visually salient perceptual parts in the chart. Our system then analyzes the freeform annotations to infer the corresponding peaks, valleys or sloping segments. Once the system has identified the perceptual parts it can highlight them to draw further attention and reduce ambiguity of interpretation in asynchronous collaborative discussions.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"29 1","pages":"233-236"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91225529","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}
Triggering shortcuts or actions on a mobile device often requires a long sequence of key presses. Because the functions of buttons are highly dependent on the current application's context, users are required to look at the display during interaction, even in many mobile situations when eyes-free interactions may be preferable. We present Virtual Shelves, a technique to trigger programmable shortcuts that leverages the user's spatial awareness and kinesthetic memory. With Virtual Shelves, the user triggers shortcuts by orienting a spatially-aware mobile device within the circular hemisphere in front of her. This space is segmented into definable and selectable regions along the phi and theta planes. We show that users can accurately point to 7 regions on the theta and 4 regions on the phi plane using only their kinesthetic memory. Building upon these results, we then evaluate a proof-of-concept prototype of the Virtual Shelves using a Nokia N93. The results show that Virtual Shelves is faster than the N93's native interface for common mobile phone tasks.
{"title":"Virtual shelves: interactions with orientation aware devices","authors":"F. Li, David Dearman, K. Truong","doi":"10.1145/1622176.1622200","DOIUrl":"https://doi.org/10.1145/1622176.1622200","url":null,"abstract":"Triggering shortcuts or actions on a mobile device often requires a long sequence of key presses. Because the functions of buttons are highly dependent on the current application's context, users are required to look at the display during interaction, even in many mobile situations when eyes-free interactions may be preferable. We present Virtual Shelves, a technique to trigger programmable shortcuts that leverages the user's spatial awareness and kinesthetic memory. With Virtual Shelves, the user triggers shortcuts by orienting a spatially-aware mobile device within the circular hemisphere in front of her. This space is segmented into definable and selectable regions along the phi and theta planes. We show that users can accurately point to 7 regions on the theta and 4 regions on the phi plane using only their kinesthetic memory. Building upon these results, we then evaluate a proof-of-concept prototype of the Virtual Shelves using a Nokia N93. The results show that Virtual Shelves is faster than the N93's native interface for common mobile phone tasks.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"47 1","pages":"125-128"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82091516","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}
Shaun K. Kane, Daniel Avrahami, J. Wobbrock, B. Harrison, Adam D. Rea, Matthai Philipose, A. LaMarca
We present Bonfire, a self-contained mobile computing system that uses two laptop-mounted laser micro-projectors to project an interactive display space to either side of a laptop keyboard. Coupled with each micro-projector is a camera to enable hand gesture tracking, object recognition, and information transfer within the projected space. Thus, Bonfire is neither a pure laptop system nor a pure tabletop system, but an integration of the two into one new nomadic computing platform. This integration (1) enables observing the periphery and responding appropriately, e.g., to the casual placement of objects within its field of view, (2) enables integration between physical and digital objects via computer vision, (3) provides a horizontal surface in tandem with the usual vertical laptop display, allowing direct pointing and gestures, and (4) enlarges the input/output space to enrich existing applications. We describe Bonfire's architecture, and offer scenarios that highlight Bonfire's advantages. We also include lessons learned and insights for further development and use.
{"title":"Bonfire: a nomadic system for hybrid laptop-tabletop interaction","authors":"Shaun K. Kane, Daniel Avrahami, J. Wobbrock, B. Harrison, Adam D. Rea, Matthai Philipose, A. LaMarca","doi":"10.1145/1622176.1622202","DOIUrl":"https://doi.org/10.1145/1622176.1622202","url":null,"abstract":"We present Bonfire, a self-contained mobile computing system that uses two laptop-mounted laser micro-projectors to project an interactive display space to either side of a laptop keyboard. Coupled with each micro-projector is a camera to enable hand gesture tracking, object recognition, and information transfer within the projected space. Thus, Bonfire is neither a pure laptop system nor a pure tabletop system, but an integration of the two into one new nomadic computing platform. This integration (1) enables observing the periphery and responding appropriately, e.g., to the casual placement of objects within its field of view, (2) enables integration between physical and digital objects via computer vision, (3) provides a horizontal surface in tandem with the usual vertical laptop display, allowing direct pointing and gestures, and (4) enlarges the input/output space to enrich existing applications. We describe Bonfire's architecture, and offer scenarios that highlight Bonfire's advantages. We also include lessons learned and insights for further development and use.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"120 1","pages":"129-138"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87956975","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}
TapSongs are presented, which enable user authentication on a single "binary" sensor (e.g., button) by matching the rhythm of tap down/up events to a jingle timing model created by the user. We describe our matching algorithm, which employs absolute match criteria and learns from successful logins. We also present a study of 10 subjects showing that after they created their own TapSong models from 12 examples (< 2 minutes), their subsequent login attempts were 83.2% successful. Furthermore, aural and visual eavesdropping of the experimenter's logins resulted in only 10.7% successful imposter logins by subjects. Even when subjects heard the target jingles played by a synthesized piano, they were only 19.4% successful logging in as imposters. These results are attributable to subtle but reliable individual differences in people's tapping, which are supported by prior findings in music psychology.
{"title":"TapSongs: tapping rhythm-based passwords on a single binary sensor","authors":"J. Wobbrock","doi":"10.1145/1622176.1622194","DOIUrl":"https://doi.org/10.1145/1622176.1622194","url":null,"abstract":"TapSongs are presented, which enable user authentication on a single \"binary\" sensor (e.g., button) by matching the rhythm of tap down/up events to a jingle timing model created by the user. We describe our matching algorithm, which employs absolute match criteria and learns from successful logins. We also present a study of 10 subjects showing that after they created their own TapSong models from 12 examples (< 2 minutes), their subsequent login attempts were 83.2% successful. Furthermore, aural and visual eavesdropping of the experimenter's logins resulted in only 10.7% successful imposter logins by subjects. Even when subjects heard the target jingles played by a synthesized piano, they were only 19.4% successful logging in as imposters. These results are attributable to subtle but reliable individual differences in people's tapping, which are supported by prior findings in music psychology.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"1 1","pages":"93-96"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77241892","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}
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