research-article

Emotion and Memory Model to Promote Mathematics Learning - An Exploratory Long-term Study

Authors:

Muneeb Imtiaz Ahmad,

Omar MubinAuthors Info & Claims

HAI '18: Proceedings of the 6th International Conference on Human-Agent Interaction

Pages 214 - 221

https://doi.org/10.1145/3284432.3284451

Published: 04 December 2018 Publication History

Abstract

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 long-term 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.

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Cited By

Newman MSenadji BWhite KFookes C(2024)Empathy in Long-Term Human–Robot Interaction: A Scoping Review of Emotion UnderstandingInternational Journal of Social Robotics10.1007/s12369-024-01166-617:1(191-210)Online publication date: 24-Dec-2024
https://doi.org/10.1007/s12369-024-01166-6
Perugia GPaetzel-Prüsmann MAlanenpää MCastellano G(2021)I Can See It in Your Eyes: Gaze as an Implicit Cue of Uncanniness and Task Performance in Repeated Interactions With RobotsFrontiers in Robotics and AI10.3389/frobt.2021.6459568Online publication date: 7-Apr-2021
https://doi.org/10.3389/frobt.2021.645956
Ahlberg SAxelsson AYu PCortez WGao YGhadirzadeh ACastellano GKragic DSkantze GDimarogonas D(2021)Co-adaptive Human–Robot Cooperation: Summary and ChallengesUnmanned Systems10.1142/S230138502250011X10:02(187-203)Online publication date: 17-Sep-2021
https://doi.org/10.1142/S230138502250011X
Show More Cited By

Index Terms

Emotion and Memory Model to Promote Mathematics Learning - An Exploratory Long-term Study
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

HAI '18: Proceedings of the 6th International Conference on Human-Agent Interaction

December 2018

402 pages

ISBN:9781450359535

DOI:10.1145/3284432

General Chairs:
Michita Imai
Keio University, Japan
,
Tim Norman
University of Southampton, UK
,
Program Chairs:
Elizabeth Sklar
King's College London, UK
,
Takanori Komatsu
Meiji University, Japan

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 December 2018

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ORCA Hub EPSRC

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HAI '18

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SIGCHI

HAI '18: 6th International Conference on Human-Agent Interaction

December 15 - 18, 2018

Southampton, United Kingdom

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HAI '18 Paper Acceptance Rate 40 of 92 submissions, 43%;

Overall Acceptance Rate 121 of 404 submissions, 30%

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Cited By

Newman MSenadji BWhite KFookes C(2024)Empathy in Long-Term Human–Robot Interaction: A Scoping Review of Emotion UnderstandingInternational Journal of Social Robotics10.1007/s12369-024-01166-617:1(191-210)Online publication date: 24-Dec-2024
https://doi.org/10.1007/s12369-024-01166-6
Perugia GPaetzel-Prüsmann MAlanenpää MCastellano G(2021)I Can See It in Your Eyes: Gaze as an Implicit Cue of Uncanniness and Task Performance in Repeated Interactions With RobotsFrontiers in Robotics and AI10.3389/frobt.2021.6459568Online publication date: 7-Apr-2021
https://doi.org/10.3389/frobt.2021.645956
Ahlberg SAxelsson AYu PCortez WGao YGhadirzadeh ACastellano GKragic DSkantze GDimarogonas D(2021)Co-adaptive Human–Robot Cooperation: Summary and ChallengesUnmanned Systems10.1142/S230138502250011X10:02(187-203)Online publication date: 17-Sep-2021
https://doi.org/10.1142/S230138502250011X
Fu CLiu CIshi CYoshikawa YIio TIshiguro H(2021)Using an Android Robot to Improve Social Connectedness by Sharing Recent Experiences of Group Members in Human-Robot ConversationsIEEE Robotics and Automation Letters10.1109/LRA.2021.30947796:4(6670-6677)Online publication date: Oct-2021
https://doi.org/10.1109/LRA.2021.3094779
Ahmad MGao YAlnajjar FShahid SMubin O(2021)Emotion and memory model for social robots: a reinforcement learning based behaviour selectionBehaviour & Information Technology10.1080/0144929X.2021.197738941:15(3210-3236)Online publication date: 27-Sep-2021
https://doi.org/10.1080/0144929X.2021.1977389
Lohan KAhmad MDondrup CArdón PPairet ÈVinciarelli A(2020)Adapting Movements and Behaviour to Favour Communication in Human-Robot InteractionModelling Human Motion10.1007/978-3-030-46732-6_13(271-297)Online publication date: 10-Jul-2020
https://doi.org/10.1007/978-3-030-46732-6_13

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