Summary
CogSketch presents a sketch recognition system wrapped in psychological syntax. Users draw single stroke glyphs that can be containment glyphs (symbols) or connection glyphs (relationships). Glyphs are recognized through a focused knowledge base of information that can be specified by the user. Inter-glyph relationships are computed using RCC-8.
On the interface side, the system contains layers that have modes.
Lastly, CogSketch has simulations that can be conducted. The two simulations are analogies (A is to B as C is to ?) and spatial language learning (inside, above, below, etc.).
Sunday, February 22, 2009
Do Background Images Improve “Draw a Secret” Graphical Passwords?
Dunphy, P. and Yan, J. 2007. Do background images improve "draw a secret" graphical passwords?. In Proceedings of the 14th ACM Conference on Computer and Communications Security (Alexandria, Virginia, USA, October 28 - 31, 2007). CCS '07. ACM, New York, NY, 36-47.
Summary
The authors use DAS passwords in conjunction with background images in order to improve the complexity of the passwords without harming user recall. A user would typically choose a small portion of an image to draw on, which could increase the complexity of the password if the image itself was complex.
The paper contains great user studies focusing on the recall of passwords, the complexity of images, what images users chose to draw on, and what recall errors occurred.
Discussion
This is another DAS paper, and, like the previously blogged one, shows how much room the graphical password field has to grow. The studies in this paper were phenomenally thorough, and if we ever start a sketching passwords project this is the paper we should all read.
Summary
The authors use DAS passwords in conjunction with background images in order to improve the complexity of the passwords without harming user recall. A user would typically choose a small portion of an image to draw on, which could increase the complexity of the password if the image itself was complex.
The paper contains great user studies focusing on the recall of passwords, the complexity of images, what images users chose to draw on, and what recall errors occurred.
Discussion
This is another DAS paper, and, like the previously blogged one, shows how much room the graphical password field has to grow. The studies in this paper were phenomenally thorough, and if we ever start a sketching passwords project this is the paper we should all read.
Graphical Passwords & Qualitative Spatial Relations
Lin, D., Dunphy, P., Olivier, P., and Yan, J. 2007. Graphical passwords & qualitative spatial relations. In Proceedings of the 3rd Symposium on Usable Privacy and Security (Pittsburgh, Pennsylvania, July 18 - 20, 2007). SOUPS '07, vol. 229. ACM, New York, NY, 161-162.
Summary
The authors modify the Draw-a-Secret (DAS) scheme where users draw a graphical password in a grid so that the "looking over the shoulder" phenomenon could be reduced. A DAS password is a simple encoding of a drawn stroke using a grid and directions, such as up, right, up.
The extended abstract presents a Qualitative Draw-a-Secret (QDAS) scheme that changes DAS by first assigning a number to each grid. Then, the grid itself varies based on the direction changes of the stroke. The grid changes based on cell height and width.
Discussion
Although this extended abstract wasn't too informative, it did give me some thoughts about how we could use sketch recognition techniques to improve upon drawn passwords.
Summary
The authors modify the Draw-a-Secret (DAS) scheme where users draw a graphical password in a grid so that the "looking over the shoulder" phenomenon could be reduced. A DAS password is a simple encoding of a drawn stroke using a grid and directions, such as up, right, up.
The extended abstract presents a Qualitative Draw-a-Secret (QDAS) scheme that changes DAS by first assigning a number to each grid. Then, the grid itself varies based on the direction changes of the stroke. The grid changes based on cell height and width.
Discussion
Although this extended abstract wasn't too informative, it did give me some thoughts about how we could use sketch recognition techniques to improve upon drawn passwords.
Monday, February 16, 2009
SKIT: A Computer-Assisted Sketch Instruction Tool
Greg Coombe and Brian Salomon
Department of Computer Science, University of North Carolina
This paper discusses a system, SKIT, that assists users in sketching line drawings by using some artist techniques. The system breaks a full outline sketch into subdrawings that the user can draw at various sizes. This allows the user to see the model they are drawing as a set of smaller, more geometric objects. The subdrawings are then merged back together in the end.
The small user study was more qualitative and showed users improved when using SKIT.
Discussion:
The paper presents a technique or two that might be helpful in starting a user-training program for sketching.
Department of Computer Science, University of North Carolina
This paper discusses a system, SKIT, that assists users in sketching line drawings by using some artist techniques. The system breaks a full outline sketch into subdrawings that the user can draw at various sizes. This allows the user to see the model they are drawing as a set of smaller, more geometric objects. The subdrawings are then merged back together in the end.
The small user study was more qualitative and showed users improved when using SKIT.
Discussion:
The paper presents a technique or two that might be helpful in starting a user-training program for sketching.
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