Comments
Daniel's Blog
Summary
Ahh! the last paper of our sketch class. Has nothing to do with sketch recognition but only such paper which compares the feedback and usability of sketch systems with paper & pencil inputs. A good motivation from the evaluation study for researchers in the field of sketch recognition comes from this paper.
It basically presents a sketch diagram of a web-page layout from low-fidelity to high-fidelity after small portions of beautification in the diagram. The low-fidelity is the paper drawn sketch and high-fidelity is the final beautified version of the sketch.
In the user study the author selects a small group of students each is shown all the sketches from low-fidelity to high-fidelity. The results show that the changes asked by the users to be done with the sketch decreases as they move from low-fidelity to high-fidelity. An overall people preferred working with the high-fidelity sketch than paper and pencil sketch. Another interesting result is that people preferred pencil and paper sketch over the low-fidelity tablet version.
Discussion
A nice user study for sketch systems but some there are some specific cases the author has looked upon. The sketch is very domain specific to web-page layouts and user opinions might differ for other domains. The user study is also conducted on a very small group of people. The beautification stages can be modified by modifying one aspect of the sketch while keeping other constants, instead of the author's approach which slowly beautifies each aspect at each stage.
Tuesday, December 2, 2008
SHADY: A Shape Description Debugger for Use in Sketch Recognition
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Manoj's Blog
Summary
This paper simply builds upon the effective use of the LADDER system. In this paper the author describes the addition of a debugging capability of LADDER domain description using the idea of near-miss from the previous paper. The system is called SHADY
Many times it happens when defining the domain constraints of a shape and the shape is not properly recognized by the LADDER system. The developer is not provided of any feedback of what went wrong with the domain descriptions that LADDER was not able to recognize the shape.
In this modification the developer can define constraints and the draw a shape on the LADDER system. If the shape is not recognized the systems exactly shows which constraint is not met by the input sketch and give the editor to the user to fix the error. There can be number of constraints that are not met by the input sketch. If SHADY shows all the results this could become overwhelming for the developer. Instead SHADY tries to choose a smaller subset from the result which can closely match to the user intentions.
SHADY can also generate the constraints from the drawn shape and also generate the shapes which satisfy the constraints provide by the user.
Discussion
A fairly nice improvement which makes it easy for the user to define the constraints in the domain through proactive feedback from shady. This also helps the developer understand the underlying logic of LADDER as he engages into the debugging of constraints.
Manoj's Blog
Summary
This paper simply builds upon the effective use of the LADDER system. In this paper the author describes the addition of a debugging capability of LADDER domain description using the idea of near-miss from the previous paper. The system is called SHADY
Many times it happens when defining the domain constraints of a shape and the shape is not properly recognized by the LADDER system. The developer is not provided of any feedback of what went wrong with the domain descriptions that LADDER was not able to recognize the shape.
In this modification the developer can define constraints and the draw a shape on the LADDER system. If the shape is not recognized the systems exactly shows which constraint is not met by the input sketch and give the editor to the user to fix the error. There can be number of constraints that are not met by the input sketch. If SHADY shows all the results this could become overwhelming for the developer. Instead SHADY tries to choose a smaller subset from the result which can closely match to the user intentions.
SHADY can also generate the constraints from the drawn shape and also generate the shapes which satisfy the constraints provide by the user.
Discussion
A fairly nice improvement which makes it easy for the user to define the constraints in the domain through proactive feedback from shady. This also helps the developer understand the underlying logic of LADDER as he engages into the debugging of constraints.
Multimodal Collaborative Handwriting training for Visually-Impaired People
Comments
Manoj's blog
Summary
In this paper the author presents a Multimodal Haptic feedback system for visually impaired people to help them learn writing and drawing shapes. The system is called "McSig". In this paper the author discusses the general un-awarness of people that blind people find it really hard to draw and write because of lack of feedback.
In this paper the author creates a system which enables teachers to make the students learn how to draw and write through a sketch-based system. In this setting the teacher draws a shape on a tablet pc and then the student can feel explore and move around the shape on a device called PHANTOM which echoes the shape the teacher had drawn. PHANTOM is an omni force-feedback device.
An evaluation study was conducted on two types of visually impaired subjects. Once which are completely blind and the other who are partially visually impaired. There was a significant improvement in the accuracy of the shapes drawn by both type of subjects. The partially impaired subjects were able to learn the system very quickly and after a very short time they were able to draw shapes accurately. The completely blind subjects took more time in learning the system but once they got used to the devices they also showed improvement in their sketching.
Discussion
A different domain of the usability of sketch systems through haptic feeback. There is lot of discussion on the effective feedback of sketch systems and this paper simply opens a new dimension of providing richer feedback.
Manoj's blog
Summary
In this paper the author presents a Multimodal Haptic feedback system for visually impaired people to help them learn writing and drawing shapes. The system is called "McSig". In this paper the author discusses the general un-awarness of people that blind people find it really hard to draw and write because of lack of feedback.
In this paper the author creates a system which enables teachers to make the students learn how to draw and write through a sketch-based system. In this setting the teacher draws a shape on a tablet pc and then the student can feel explore and move around the shape on a device called PHANTOM which echoes the shape the teacher had drawn. PHANTOM is an omni force-feedback device.
An evaluation study was conducted on two types of visually impaired subjects. Once which are completely blind and the other who are partially visually impaired. There was a significant improvement in the accuracy of the shapes drawn by both type of subjects. The partially impaired subjects were able to learn the system very quickly and after a very short time they were able to draw shapes accurately. The completely blind subjects took more time in learning the system but once they got used to the devices they also showed improvement in their sketching.
Discussion
A different domain of the usability of sketch systems through haptic feeback. There is lot of discussion on the effective feedback of sketch systems and this paper simply opens a new dimension of providing richer feedback.
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