Justin Matejka, Wei Li, Tovi Grossman, G. Fitzmaurice
We explore the use of modern recommender system technology to address the problem of learning software applications. Before describing our new command recommender system, we first define relevant design considerations. We then discuss a 3 month user study we conducted with professional users to evaluate our algorithms which generated customized recommendations for each user. Analysis shows that our item-based collaborative filtering algorithm generates 2.1 times as many good suggestions as existing techniques. In addition we present a prototype user interface to ambiently present command recommendations to users, which has received promising initial user feedback.
{"title":"CommunityCommands: command recommendations for software applications","authors":"Justin Matejka, Wei Li, Tovi Grossman, G. Fitzmaurice","doi":"10.1145/1622176.1622214","DOIUrl":"https://doi.org/10.1145/1622176.1622214","url":null,"abstract":"We explore the use of modern recommender system technology to address the problem of learning software applications. Before describing our new command recommender system, we first define relevant design considerations. We then discuss a 3 month user study we conducted with professional users to evaluate our algorithms which generated customized recommendations for each user. Analysis shows that our item-based collaborative filtering algorithm generates 2.1 times as many good suggestions as existing techniques. In addition we present a prototype user interface to ambiently present command recommendations to users, which has received promising initial user feedback.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"112 1","pages":"193-202"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75178046","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}
S. Amershi, J. Fogarty, Ashish Kapoor, Desney S. Tan
Interaction with large unstructured datasets is difficult because existing approaches, such as keyword search, are not always suited to describing concepts corresponding to the distinctions people want to make within datasets. One possible solution is to allow end users to train machine learning systems to identify desired concepts, a strategy known as interactive concept learning. A fundamental challenge is to design systems that preserve end user flexibility and control while also guiding them to provide examples that allow the machine learning system to effectively learn the desired concept. This paper presents our design and evaluation of four new overview based approaches to guiding example selection. We situate our explorations within CueFlik, a system examining end user interactive concept learning in Web image search. Our evaluation shows our approaches not only guide end users to select better training examples than the best performing previous design for this application, but also reduce the impact of not knowing when to stop training the system. We discuss challenges for end user interactive concept learning systems and identify opportunities for future research on the effective design of such systems.
{"title":"Overview based example selection in end user interactive concept learning","authors":"S. Amershi, J. Fogarty, Ashish Kapoor, Desney S. Tan","doi":"10.1145/1622176.1622222","DOIUrl":"https://doi.org/10.1145/1622176.1622222","url":null,"abstract":"Interaction with large unstructured datasets is difficult because existing approaches, such as keyword search, are not always suited to describing concepts corresponding to the distinctions people want to make within datasets. One possible solution is to allow end users to train machine learning systems to identify desired concepts, a strategy known as interactive concept learning. A fundamental challenge is to design systems that preserve end user flexibility and control while also guiding them to provide examples that allow the machine learning system to effectively learn the desired concept. This paper presents our design and evaluation of four new overview based approaches to guiding example selection. We situate our explorations within CueFlik, a system examining end user interactive concept learning in Web image search. Our evaluation shows our approaches not only guide end users to select better training examples than the best performing previous design for this application, but also reduce the impact of not knowing when to stop training the system. We discuss challenges for end user interactive concept learning systems and identify opportunities for future research on the effective design of such systems.","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":"247-256"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84630013","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. Hook, Stuart Taylor, Alex Butler, N. Villar, S. Izadi
We present a novel hardware device based on ferromagnetic sensing, capable of detecting the presence, position and deformation of any ferrous object placed on or near its surface. These objects can include ball bearings, magnets, iron filings, and soft malleable bladders filled with ferrofluid. Our technology can be used to build reconfigurable input devices -- where the physical form of the input device can be assembled using combinations of such ferrous objects. This allows users to rapidly construct new forms of input device, such as a trackball-style device based on a single large ball bearing, tangible mixers based on a collection of sliders and buttons with ferrous components, and multi-touch malleable surfaces using a ferrofluid bladder. We discuss the implementation of our technology, its strengths and limitations, and potential application scenarios.
{"title":"A reconfigurable ferromagnetic input device","authors":"J. Hook, Stuart Taylor, Alex Butler, N. Villar, S. Izadi","doi":"10.1145/1622176.1622186","DOIUrl":"https://doi.org/10.1145/1622176.1622186","url":null,"abstract":"We present a novel hardware device based on ferromagnetic sensing, capable of detecting the presence, position and deformation of any ferrous object placed on or near its surface. These objects can include ball bearings, magnets, iron filings, and soft malleable bladders filled with ferrofluid. Our technology can be used to build reconfigurable input devices -- where the physical form of the input device can be assembled using combinations of such ferrous objects. This allows users to rapidly construct new forms of input device, such as a trackball-style device based on a single large ball bearing, tangible mixers based on a collection of sliders and buttons with ferrous components, and multi-touch malleable surfaces using a ferrofluid bladder. We discuss the implementation of our technology, its strengths and limitations, and potential application scenarios.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"31 1","pages":"51-54"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73561152","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}
We introduce ARC-Pad (Absolute+Relative Cursor pad), a novel technique for interacting with large displays using a mobile phone's touchscreen. In ARC-Pad we combine ab-solute and relative cursor positioning. Tapping with ARC-Pad causes the cursor to jump to the corresponding location on the screen, providing rapid movement across large distances. For fine position control, users can also clutch using relative mode. Unlike prior hybrid cursor positioning techniques, ARC-Pad does not require an explicit switch between relative and absolute modes. We compared ARC-Pad with the relative positioning commonly found on touchpads. Users were given a target acquisition task on a large display, and results showed that they were faster with ARC-Pad, without sacrificing accuracy. Users welcomed the benefits associated with ARC-Pad.
{"title":"ARC-Pad: absolute+relative cursor positioning for large displays with a mobile touchscreen","authors":"David C. McCallum, Pourang Irani","doi":"10.1145/1622176.1622205","DOIUrl":"https://doi.org/10.1145/1622176.1622205","url":null,"abstract":"We introduce ARC-Pad (Absolute+Relative Cursor pad), a novel technique for interacting with large displays using a mobile phone's touchscreen. In ARC-Pad we combine ab-solute and relative cursor positioning. Tapping with ARC-Pad causes the cursor to jump to the corresponding location on the screen, providing rapid movement across large distances. For fine position control, users can also clutch using relative mode. Unlike prior hybrid cursor positioning techniques, ARC-Pad does not require an explicit switch between relative and absolute modes. We compared ARC-Pad with the relative positioning commonly found on touchpads. Users were given a target acquisition task on a large display, and results showed that they were faster with ARC-Pad, without sacrificing accuracy. Users welcomed the benefits associated with ARC-Pad.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"12 1","pages":"153-156"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81770185","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}
In this paper, we extrapolate the evolution of mobile devices in one specific direction, namely miniaturization. While we maintain the concept of a device that people are aware of and interact with intentionally, we envision that this concept can become small enough to allow invisible integration into arbitrary surfaces or human skin, and thus truly ubiquitous use. This outcome assumed, we investigate what technology would be most likely to provide the basis for these devices, what abilities such devices can be expected to have, and whether or not devices that size can still allow for meaningful interaction. We survey candidate technologies, drill down on gesture-based interaction, and demonstrate how it can be adapted to the desired form factors. While the resulting devices offer only the bare minimum in feedback and only the most basic interactions, we demonstrate that simple applications remain possible. We complete our exploration with two studies in which we investigate the affordance of these devices more concretely, namely marking and text entry using a gesture alphabet.
{"title":"Disappearing mobile devices","authors":"Tao Ni, Patrick Baudisch","doi":"10.1145/1622176.1622197","DOIUrl":"https://doi.org/10.1145/1622176.1622197","url":null,"abstract":"In this paper, we extrapolate the evolution of mobile devices in one specific direction, namely miniaturization. While we maintain the concept of a device that people are aware of and interact with intentionally, we envision that this concept can become small enough to allow invisible integration into arbitrary surfaces or human skin, and thus truly ubiquitous use. This outcome assumed, we investigate what technology would be most likely to provide the basis for these devices, what abilities such devices can be expected to have, and whether or not devices that size can still allow for meaningful interaction. We survey candidate technologies, drill down on gesture-based interaction, and demonstrate how it can be adapted to the desired form factors. While the resulting devices offer only the bare minimum in feedback and only the most basic interactions, we demonstrate that simple applications remain possible. We complete our exploration with two studies in which we investigate the affordance of these devices more concretely, namely marking and text entry using a gesture alphabet.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"19 1","pages":"101-110"},"PeriodicalIF":0.0,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78101387","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}
We present Sikuli, a visual approach to search and automation of graphical user interfaces using screenshots. Sikuli allows users to take a screenshot of a GUI element (such as a toolbar button, icon, or dialog box) and query a help system using the screenshot instead of the element's name. Sikuli also provides a visual scripting API for automating GUI interactions, using screenshot patterns to direct mouse and keyboard events. We report a web-based user study showing that searching by screenshot is easy to learn and faster to specify than keywords. We also demonstrate several automation tasks suitable for visual scripting, such as map navigation and bus tracking, and show how visual scripting can improve interactive help systems previously proposed in the literature.
{"title":"Sikuli: using GUI screenshots for search and automation","authors":"Tom Yeh, Tsung-Hsiang Chang, Rob Miller","doi":"10.1145/1622176.1622213","DOIUrl":"https://doi.org/10.1145/1622176.1622213","url":null,"abstract":"We present Sikuli, a visual approach to search and automation of graphical user interfaces using screenshots. Sikuli allows users to take a screenshot of a GUI element (such as a toolbar button, icon, or dialog box) and query a help system using the screenshot instead of the element's name. Sikuli also provides a visual scripting API for automating GUI interactions, using screenshot patterns to direct mouse and keyboard events. We report a web-based user study showing that searching by screenshot is easy to learn and faster to specify than keywords. We also demonstrate several automation tasks suitable for visual scripting, such as map navigation and bus tracking, and show how visual scripting can improve interactive help systems previously proposed in the literature.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"42 1","pages":"183-192"},"PeriodicalIF":0.0,"publicationDate":"2009-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85967733","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}
Digital paint is one of the more successful interactive applications of computing. Brushes that apply various effects to an image have been central to this success. Current painting techniques ignore the underlying image. By considering that image we can help the user paint more effectively. There are algorithms that assist in selecting regions to paint including flood fill, intelligent scissors and graph cut. Selected regions and the algorithms to create them introduce conceptual layers between the user and the painting task. We propose a series of "edge-respecting brushes" that spread paint or other effects according to the edges and texture of the image being modified. This restores the simple painting metaphor while providing assistance in working with the shapes already in the image. Our most successful fill brush algorithm uses competing least-cost-paths to identify what should be selected and what should not.
{"title":"Edge-respecting brushes","authors":"D. Olsen, Mitchell K. Harris","doi":"10.1145/1449715.1449742","DOIUrl":"https://doi.org/10.1145/1449715.1449742","url":null,"abstract":"Digital paint is one of the more successful interactive applications of computing. Brushes that apply various effects to an image have been central to this success. Current painting techniques ignore the underlying image. By considering that image we can help the user paint more effectively. There are algorithms that assist in selecting regions to paint including flood fill, intelligent scissors and graph cut. Selected regions and the algorithms to create them introduce conceptual layers between the user and the painting task. We propose a series of \"edge-respecting brushes\" that spread paint or other effects according to the edges and texture of the image being modified. This restores the simple painting metaphor while providing assistance in working with the shapes already in the image. Our most successful fill brush algorithm uses competing least-cost-paths to identify what should be selected and what should not.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"17 1","pages":"171-180"},"PeriodicalIF":0.0,"publicationDate":"2008-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85820858","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}
Taehyun Park, E. Lank, P. Poupart, Michael A. Terry
Collocation preferences represent the commonly used expressions, idioms, and word pairings of a language. Because collocation preferences arise from consensus usage, rather than a set of well-defined rules, they must be learned on a case-by-case basis, making them particularly challenging for non-native speakers of a language. To assist non-native speakers with these parts of a language, we developed AwkChecker, the first end-user tool geared toward helping non-native speakers detect and correct collocation errors in their writing. As a user writes, AwkChecker automatically flags collocation errors and suggests replacement expressions that correspond more closely to consensus usage. These suggestions include example usage to help users choose the best candidate. We describe AwkChecker's interface, its novel methods for detecting collocation errors and suggesting alternatives, and an early study of its use by non-native English speakers at our institution. Collectively, these contributions advance the state of the art in writing aids for non-native speakers.
{"title":"Is the sky pure today? AwkChecker: an assistive tool for detecting and correcting collocation errors","authors":"Taehyun Park, E. Lank, P. Poupart, Michael A. Terry","doi":"10.1145/1449715.1449736","DOIUrl":"https://doi.org/10.1145/1449715.1449736","url":null,"abstract":"Collocation preferences represent the commonly used expressions, idioms, and word pairings of a language. Because collocation preferences arise from consensus usage, rather than a set of well-defined rules, they must be learned on a case-by-case basis, making them particularly challenging for non-native speakers of a language. To assist non-native speakers with these parts of a language, we developed AwkChecker, the first end-user tool geared toward helping non-native speakers detect and correct collocation errors in their writing. As a user writes, AwkChecker automatically flags collocation errors and suggests replacement expressions that correspond more closely to consensus usage. These suggestions include example usage to help users choose the best candidate. We describe AwkChecker's interface, its novel methods for detecting collocation errors and suggesting alternatives, and an early study of its use by non-native English speakers at our institution. Collectively, these contributions advance the state of the art in writing aids for non-native speakers.","PeriodicalId":93361,"journal":{"name":"Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology","volume":"22 1","pages":"121-130"},"PeriodicalIF":0.0,"publicationDate":"2008-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89244231","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}
S. Izadi, Steve Hodges, Stuart Taylor, Dan Rosenfeld, N. Villar, Alex Butler, Jonathan Westhues
We introduce a new type of interactive surface technology based on a switchable projection screen which can be made diffuse or clear under electronic control. The screen can be continuously switched between these two states so quickly that the change is imperceptible to the human eye. It is then possible to rear-project what is perceived as a stable image onto the display surface, when the screen is in fact transparent for half the time. The clear periods may be used to project a second, different image through the display onto objects held above the surface. At the same time, a camera mounted behind the screen can see out into the environment. We explore some of the possibilities this type of screen technology affords, allowing surface computing interactions to extend 'beyond the display'. We present a single self-contained system that combines these off-screen interactions with more typical multi-touch and tangible surface interactions. We describe the technical challenges in realizing our system, with the aim of allowing others to experiment with these new forms of interactive surfaces.
{"title":"Going beyond the display: a surface technology with an electronically switchable diffuser","authors":"S. Izadi, Steve Hodges, Stuart Taylor, Dan Rosenfeld, N. Villar, Alex Butler, Jonathan Westhues","doi":"10.1145/1449715.1449760","DOIUrl":"https://doi.org/10.1145/1449715.1449760","url":null,"abstract":"We introduce a new type of interactive surface technology based on a switchable projection screen which can be made diffuse or clear under electronic control. The screen can be continuously switched between these two states so quickly that the change is imperceptible to the human eye. It is then possible to rear-project what is perceived as a stable image onto the display surface, when the screen is in fact transparent for half the time. The clear periods may be used to project a second, different image through the display onto objects held above the surface. At the same time, a camera mounted behind the screen can see out into the environment. We explore some of the possibilities this type of screen technology affords, allowing surface computing interactions to extend 'beyond the display'. We present a single self-contained system that combines these off-screen interactions with more typical multi-touch and tangible surface interactions. We describe the technical challenges in realizing our system, with the aim of allowing others to experiment with these new forms of interactive 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":"32 1","pages":"269-278"},"PeriodicalIF":0.0,"publicationDate":"2008-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85045254","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}
Numerous methods have been proposed that allow mobile devices to determine where they are located (e.g., home or office) and in some cases, predict what activity the user is currently engaged in (e.g., walking, sitting, or driving). While useful, this sensing currently only tells part of a much richer story. To allow devices to act most appropriately to the situation they are in, it would also be very helpful to know about their placement - for example whether they are sitting on a desk, hidden in a drawer, placed in a pocket, or held in one's hand - as different device behaviors may be called for in each of these situations. In this paper, we describe a simple, small, and inexpensive multispectral optical sensor for identifying materials in proximity to a device. This information can be used in concert with e.g., location information, to estimate, for example, that the device is "sitting on the desk at home", or "in the pocket at work". This paper discusses several potential uses of this technology, as well as results from a two-part study, which indicates that this technique can detect placement at 94.4% accuracy with real-world placement sets.
{"title":"Lightweight material detection for placement-aware mobile computing","authors":"Chris Harrison, S. Hudson","doi":"10.1145/1449715.1449761","DOIUrl":"https://doi.org/10.1145/1449715.1449761","url":null,"abstract":"Numerous methods have been proposed that allow mobile devices to determine where they are located (e.g., home or office) and in some cases, predict what activity the user is currently engaged in (e.g., walking, sitting, or driving). While useful, this sensing currently only tells part of a much richer story. To allow devices to act most appropriately to the situation they are in, it would also be very helpful to know about their placement - for example whether they are sitting on a desk, hidden in a drawer, placed in a pocket, or held in one's hand - as different device behaviors may be called for in each of these situations. In this paper, we describe a simple, small, and inexpensive multispectral optical sensor for identifying materials in proximity to a device. This information can be used in concert with e.g., location information, to estimate, for example, that the device is \"sitting on the desk at home\", or \"in the pocket at work\". This paper discusses several potential uses of this technology, as well as results from a two-part study, which indicates that this technique can detect placement at 94.4% accuracy with real-world placement sets.","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":"279-282"},"PeriodicalIF":0.0,"publicationDate":"2008-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84146842","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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