Emotion and memory model to promote mathematics learning : an exploratory long-term study

Muneeb Imtiaz Ahmad, Omar Mubin

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

6 Citations (Scopus)

Abstract

![CDATA[In this paper, we present a Child-Robot Interaction (CRI) study that applies our emotion and memory model on the social robot in the wild in a mathematics learning scenario. The rationale to conduct this study was to explore the effects of our model on children’s engagement and learning in a real-life scenario and also to further emphasise the value of our model. We conducted an exploratory long-term CRI study, where the robot used the personalisation mechanism based on our emotion and memory model to understand its effects in terms of improving children’s learning and sustaining social engagement on the Mathematics task in a longterm interaction. Our results showed that in a condition, where our model was implemented on the social robot, children showed the higher level of social engagement. Additionally, their learning performance based on calculating area and perimeter of regular and irregular shapes was also better in terms of their test scores.]]
Original languageEnglish
Title of host publicationHAI̢۪18: Proceedings of the 6th International Conference on Human-Agent Interaction, December 15-18, 2018, Southampton, United Kingdom
PublisherAssociation for Computing Machinery
Pages214-221
Number of pages8
ISBN (Print)9781450359535
DOIs
Publication statusPublished - 2018
EventInternational Conference on Human-Agent Interaction -
Duration: 15 Dec 2018 → …

Conference

ConferenceInternational Conference on Human-Agent Interaction
Period15/12/18 → …

Keywords

  • education
  • human-robot interaction
  • learning
  • mathematics

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