AI enabled tutor for accessible training

Ayan Banerjee, Imane Lamrani, Sameena Hossain, Prajwal Paudyal, Sandeep K.S. Gupta

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

Abstract

A significant number of jobs require highly skilled labor which necessitate training on pre-requisite knowledge. Examples include jobs in military, technical field such computer science, large scale fulfillment centers such as Amazon. Moreover, making such jobs accessible to the disabled population requires even more pre-requisite training such as knowledge of sign language. An artificial intelligent (AI) agent can potentially act as a tutor for such pre-requisite training. This will not only reduce resource requirements for such training but also decrease the time taken for making personnel job ready. In this paper, we develop an AI tutor that can teach users gestures that are required on the field as a pre-requisite. The AI tutor uses a model learning technique that learns the gestures performed by experts. It then uses a model comparison technique to compare a learner with the expert gesture and provides feedback for the learner to improve.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education- 21st International Conference, AIED 2020, Proceedings, Part I
EditorsIg Ibert Bittencourt, Mutlu Cukurova, Rose Luckin, Kasia Muldner, Eva Millán
PublisherSpringer
Pages29-42
Number of pages14
ISBN (Print)9783030522360
DOIs
StatePublished - 2020
Event21st International Conference on Artificial Intelligence in Education, AIED 2020 - Ifrane, Morocco
Duration: Jul 6 2020Jul 10 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12163 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Artificial Intelligence in Education, AIED 2020
CountryMorocco
CityIfrane
Period7/6/207/10/20

Keywords

  • AI enabled tutor
  • ASL
  • Explainable AI

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Banerjee, A., Lamrani, I., Hossain, S., Paudyal, P., & Gupta, S. K. S. (2020). AI enabled tutor for accessible training. In I. I. Bittencourt, M. Cukurova, R. Luckin, K. Muldner, & E. Millán (Eds.), Artificial Intelligence in Education- 21st International Conference, AIED 2020, Proceedings, Part I (pp. 29-42). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12163 LNAI). Springer. https://doi.org/10.1007/978-3-030-52237-7_3