DigiPressPad : An Automated Tool for Quantifying and Improving One's Graphic Skill

dc.contributor.authorVerma, Pragya
dc.contributor.authorRane, Dharma
dc.contributor.authorKanetkar, Manasi
dc.contributor.authorSingh, Madhu
dc.contributor.authorLahiri, Uttama
dc.contributor.departmentDepartment of Computer Science
dc.date.accessioned2026-11-11T14:27:01Z
dc.date.available2026-11-11T14:27:01Z
dc.date.issued2023-09-20
dc.descriptionPublisher Copyright: © 2023 ACM.en
dc.description.abstractGraphic 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.en
dc.description.versionPeer revieweden
dc.format.extent1094772
dc.format.extent
dc.format.extent
dc.identifier.citationVerma, 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/10.1145/3605390.3605391en
dc.identifier.citationconferenceen
dc.identifier.doi10.1145/3605390.3605391
dc.identifier.isbn9798400708060
dc.identifier.other251594342
dc.identifier.other78a2bb3b-d843-4fb2-bcb5-7ce4224629e4
dc.identifier.other85173671316
dc.identifier.urihttps://hdl.handle.net/20.500.11815/9093
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofseriesCHItaly 2023 - Crossing HCI and AI; ()en
dc.relation.ispartofseriesACM International Conference Proceeding Series; ()en
dc.relation.urlhttps://www.scopus.com/pages/publications/85173671316en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectAutomated Feedbacken
dc.subjectGraphic Skillen
dc.subjectImprovementen
dc.subjectQuantificationen
dc.subjectHuman-Computer Interactionen
dc.subjectComputer Networks and Communicationsen
dc.subjectComputer Vision and Pattern Recognitionen
dc.subjectSoftwareen
dc.titleDigiPressPad : An Automated Tool for Quantifying and Improving One's Graphic Skillen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontobookanthology/conferenceen

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