Trust acceptance mapping - designing intelligent systems for use in an educational context

  • Graham Parsonage*
  • , Matthew Horton
  • , Janet Read
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Downloads (Pure)

Abstract

Intelligent systems are not a new concept. It is generally accepted that the term 'artificial intelligence' or AI was first coined by Professor John McCarthy in 1956 and prior to that Alan Turing introduced what became known as the Turing Test in his 1950 paper, The Imitation Game. Given this relative longevity, it is perhaps surprising that the uptake of AI based systems in some sectors such as healthcare and education has been limited. This paper considers the deployment of an intelligent system in an educational context and proposes a model to inform the design of such based upon the relationship between trust and acceptance.

Original languageEnglish
Title of host publicationAdaptive Instructional Systems - 5th International Conference, AIS 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
EditorsRobert A. Sottilare, Jessica Schwarz
Place of PublicationCham
PublisherSpringer Nature
Pages34-50
Number of pages17
ISBN (Print)9783031347344
DOIs
Publication statusPublished - 9 Jul 2023
Event5th International Conference on Adaptive Instructional Systems, AIS 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Denmark
Duration: 23 Jul 202328 Jul 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14044 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Adaptive Instructional Systems, AIS 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
Country/TerritoryDenmark
CityCopenhagen
Period23/07/2328/07/23

Keywords

  • Education
  • Intelligent Systems
  • Model

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