The Use of Explainable Sensor Systems in Classroom Settings - Teacher, Student and Parent Voices on the Value of Sensor Systems

Zakia Batool Turabee; Sean Haddick; David J. Brown; Sarah Seymour Smith; Mufti Mahmud; Andrew Burton; Nicholas Shopland

doi:10.1007/978-3-031-35897-5_33

The Use of Explainable Sensor Systems in Classroom Settings - Teacher, Student and Parent Voices on the Value of Sensor Systems

Zakia Batool Turabee^*
, Sean Haddick
, David J. Brown
, Sarah Seymour Smith
, Mufti Mahmud
, Andrew Burton
, Nicholas Shopland

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

AI-TOP is an ongoing project funded by the European Union’s Erasmus+ program and is a collaboration between Nottingham Trent University and other universities throughout Europe. The intended outcome of the project is a platform that can be deployed in the learning environments of children with Autistic Spectrum Disorder in order to detect the early signs of oncoming behavioural dysregulation or meltdown and inform the supervising adult to enable them to try techniques to de-escalate these events. This paper covers the Thematic Analysis of a series of interviews conducted by the partner institutions in order to investigate potential issues with the implementation and acceptance of a range of sensors and machine learning methods in order to predict the onset of an emotional dysregulation event.

Original language	English
Title of host publication	Universal Access in Human-Computer Interaction - 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
Editors	Margherita Antona, Constantine Stephanidis
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	453-468
Number of pages	16
ISBN (Print)	9783031358968
DOIs	https://doi.org/10.1007/978-3-031-35897-5_33
State	Published - 2023
Externally published	Yes
Event	17th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Denmark Duration: 23 Jul 2023 → 28 Jul 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14021 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
Country/Territory	Denmark
City	Copenhagen
Period	23/07/23 → 28/07/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

AI-TOP
ASD
Arousal
Cameras and Wearables
Emotional Dysregulation
Engagement
Rumble Moments
Thematic Analysis
Tracking

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-35897-5_33

Cite this

Turabee, Z. B., Haddick, S., Brown, D. J., Smith, S. S., Mahmud, M., Burton, A., & Shopland, N. (2023). The Use of Explainable Sensor Systems in Classroom Settings - Teacher, Student and Parent Voices on the Value of Sensor Systems. In M. Antona, & C. Stephanidis (Eds.), Universal Access in Human-Computer Interaction - 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings (pp. 453-468). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14021 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35897-5_33

Turabee, Zakia Batool ; Haddick, Sean ; Brown, David J. et al. / The Use of Explainable Sensor Systems in Classroom Settings - Teacher, Student and Parent Voices on the Value of Sensor Systems. Universal Access in Human-Computer Interaction - 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. editor / Margherita Antona ; Constantine Stephanidis. Springer Science and Business Media Deutschland GmbH, 2023. pp. 453-468 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "The Use of Explainable Sensor Systems in Classroom Settings - Teacher, Student and Parent Voices on the Value of Sensor Systems",

abstract = "AI-TOP is an ongoing project funded by the European Union{\textquoteright}s Erasmus+ program and is a collaboration between Nottingham Trent University and other universities throughout Europe. The intended outcome of the project is a platform that can be deployed in the learning environments of children with Autistic Spectrum Disorder in order to detect the early signs of oncoming behavioural dysregulation or meltdown and inform the supervising adult to enable them to try techniques to de-escalate these events. This paper covers the Thematic Analysis of a series of interviews conducted by the partner institutions in order to investigate potential issues with the implementation and acceptance of a range of sensors and machine learning methods in order to predict the onset of an emotional dysregulation event.",

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Turabee, ZB, Haddick, S, Brown, DJ, Smith, SS, Mahmud, M, Burton, A & Shopland, N 2023, The Use of Explainable Sensor Systems in Classroom Settings - Teacher, Student and Parent Voices on the Value of Sensor Systems. in M Antona & C Stephanidis (eds), Universal Access in Human-Computer Interaction - 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14021 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 453-468, 17th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, 23/07/23. https://doi.org/10.1007/978-3-031-35897-5_33

The Use of Explainable Sensor Systems in Classroom Settings - Teacher, Student and Parent Voices on the Value of Sensor Systems. / Turabee, Zakia Batool; Haddick, Sean; Brown, David J. et al.
Universal Access in Human-Computer Interaction - 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. ed. / Margherita Antona; Constantine Stephanidis. Springer Science and Business Media Deutschland GmbH, 2023. p. 453-468 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14021 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Turabee ZB, Haddick S, Brown DJ, Smith SS, Mahmud M, Burton A et al. The Use of Explainable Sensor Systems in Classroom Settings - Teacher, Student and Parent Voices on the Value of Sensor Systems. In Antona M, Stephanidis C, editors, Universal Access in Human-Computer Interaction - 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 453-468. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-35897-5_33