Bibliography:
Daniel Dixon, Manoj Prasad, and Tracy Hammond. 2010. iCanDraw: using sketch recognition and corrective feedback to assist a user in drawing human faces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). ACM, New York, NY, USA, 897-906.
Summary:
The paper talks about an proof of concept application that provides step by step instruction and generated feedback that guides a person to sketch human faces.Inorder to provide helpful assistance to users, nine design principles were developed.
First, the paper elaborates on a popular theory on visual perception of human's, using left vs right brain. Based on this observation and present teaching methods, a step by step corrective teaching model was developed. The user interface consists of a drawing area, a reference image to draw and an area to provide instructions to the user. The user can manually ask for feedback by pressing a button. The aplication provides both textual and visual feedback.
Boundaries were added to later versions in order to help a user to manage the features better. The nine design principles developed were the accuracy of the master template is important, R-mode is important for a users visual perception, feedback should be given only when asked for, corrective feedback must be clear and constant, 'erased' strokes should be temporarily visible as a form of corrective feedback, free hand sketching is iportant, corrective feedback should be adaptive to mature sketches, the application should be mindful of artistic affordances.
Five participants tested the application and felt overwhelmed, in drawing a human face. The step by step instructions were useful.
Discussion:
The principles from the paper gives me confidence to draw better and see it as a skill that can be learned. Certainly, an application like this, which provides feedback and step by step instructions would be very useful. It'll be interesting to see this applied to less complex shapes, other than human faces.
Daniel Dixon, Manoj Prasad, and Tracy Hammond. 2010. iCanDraw: using sketch recognition and corrective feedback to assist a user in drawing human faces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). ACM, New York, NY, USA, 897-906.
Summary:
The paper talks about an proof of concept application that provides step by step instruction and generated feedback that guides a person to sketch human faces.Inorder to provide helpful assistance to users, nine design principles were developed.
First, the paper elaborates on a popular theory on visual perception of human's, using left vs right brain. Based on this observation and present teaching methods, a step by step corrective teaching model was developed. The user interface consists of a drawing area, a reference image to draw and an area to provide instructions to the user. The user can manually ask for feedback by pressing a button. The aplication provides both textual and visual feedback.
Boundaries were added to later versions in order to help a user to manage the features better. The nine design principles developed were the accuracy of the master template is important, R-mode is important for a users visual perception, feedback should be given only when asked for, corrective feedback must be clear and constant, 'erased' strokes should be temporarily visible as a form of corrective feedback, free hand sketching is iportant, corrective feedback should be adaptive to mature sketches, the application should be mindful of artistic affordances.
Five participants tested the application and felt overwhelmed, in drawing a human face. The step by step instructions were useful.
Discussion:
The principles from the paper gives me confidence to draw better and see it as a skill that can be learned. Certainly, an application like this, which provides feedback and step by step instructions would be very useful. It'll be interesting to see this applied to less complex shapes, other than human faces.
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