DigiPressPad : An Automated Tool for Quantifying and Improving One's Graphic Skill
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Höfundar
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Útgefandi
Association for Computing Machinery
Útdráttur
Graphic skill essential for good quality handwritten content can be quantified through attributes, e.g., graphic force and graphic speed using pressure-sensitive tablets. Though powerful, such solutions are expensive and without automated feedback. Feedback can help one to adopt self-corrective measures to improve graphic skill. Thus, there exists need for tools to quantify graphic quality, graphic force and graphic speed and offer feedback. Here, we have developed an automated tool to quantify one's graphic skill and to offer individualized feedback. Given that there exist differences in the graphic skill of Typically Developing (TD) children and those with Autism (ASD), we used this tool for 6 pairs of TD children and those with ASD. Preliminary results indicate the potential of our tool in capturing differences and improvement in graphic skills of participant groups. The automated tool can act as a complementary tool in the hands of teachers and caregivers.
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Publisher Copyright: © 2023 ACM.
Efnisorð
Automated Feedback, Graphic Skill, Improvement, Quantification, Human-Computer Interaction, Computer Networks and Communications, Computer Vision and Pattern Recognition, Software
Citation
Verma, P, Rane, D, Kanetkar, M, Singh, M & Lahiri, U 2023, DigiPressPad : An Automated Tool for Quantifying and Improving One's Graphic Skill. in CHItaly 2023 - Crossing HCI and AI : Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter., 18, ACM International Conference Proceeding Series, Association for Computing Machinery, 15th Biannual Conference of the Italian SIGCHI Chapter: Crossing HCI and AI, CHItaly 2023, Hybrid, Torino, Italy, 20/09/23. https://doi.org/10.1145/3605390.3605391
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