Touchless Hand Interaction and Machine Learning Agents to Support Kinesthetic Learning in Augmented Reality

Zahid Iqbal, Abraham G. Campbell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Augmented Reality (AR) learning has successfully been proven to support new learning pedagogies. The pedagogical approach of Kinesthetic Learning or "Learning by Doing" using AR combined with virtual touchless hand interaction and machine learning agents has not been explored in great detail. Fundamentally this exploration of touchless technologies and learning intelligence has taken on new importance in the new post-COVID world which created a need for more interactive and personalized learning solutions. This research presented the implementation of touchless hand interaction and machine learning agents in an AR learning application for teaching the PC assembly in the resource constraint environment.
Original languageEnglish
Title of host publicationACM Technical Symposium on Computer Science Education 2021
PublisherAssociation for Computing Machinery (ACM)
Pages1322
ISBN (Print)9781450380621
DOIs
Publication statusPublished - 5 Mar 2021
Event52nd ACM Technical Symposium on Computer Science Education - Online
Duration: 13 Mar 202120 Mar 2021

Conference

Conference52nd ACM Technical Symposium on Computer Science Education
Abbreviated titleSIGCSE '21
Period13/03/2120/03/21

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