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Designing Novel Approaches to Personalise Behaviour Change in Intelligent Systems / DARREN SCOTT

Swansea University Author: DARREN SCOTT

DOI (Published version): 10.23889/SUthesis.65829

Abstract

AI personalisation presents a promising source of innovation for improving the quality of behaviour change technologies. Current approaches are limited in their success, and a proposed solution is the inclusion of intelligent tailoring to best align users with their interventions. This thesis presen...

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Published: Swansea, Wales, UK 2024
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
Supervisor: Roach, Matt J. ; Wacharamanotham, Chat
URI: https://cronfa.swan.ac.uk/Record/cronfa65829
first_indexed 2024-03-13T10:07:09Z
last_indexed 2024-11-25T14:16:57Z
id cronfa65829
recordtype RisThesis
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spelling 2024-03-13T10:25:50.6459809 v2 65829 2024-03-13 Designing Novel Approaches to Personalise Behaviour Change in Intelligent Systems 4609b9890c2980dec0c1001d607ef807 DARREN SCOTT DARREN SCOTT true false 2024-03-13 AI personalisation presents a promising source of innovation for improving the quality of behaviour change technologies. Current approaches are limited in their success, and a proposed solution is the inclusion of intelligent tailoring to best align users with their interventions. This thesis presents three key contributions that explore this promise: A classification system and accompanying survey to examine the current research landscape of intelligent personalisation; The E˙ect-Led Design process which combines high-eÿcacy, limitless expert design concepts with focused user discussion and refinement to best explore how to implement high eÿcacy AI that is acceptable to users; and a conceptual framework, the principles of which are tested in real-world situations to examine whether the intelligent algorithms are able to learn human behaviour and whether proposed systems of personalisation encourage motivation in users. The survey paper identified current trends in the contemporary personalised technology space and explored where the scope for innovation sits. E˙ect-Led Design showed promise in developing significantly di˙erent design concepts to those seen in contemporary applications, and both experts and users commented positively on the process. The studies testing the principles of the experimental platform showed the approaches were positively received by users in terms of motivation and engagement. However, initial implementation issues meant that algorithms did not return any significant evidence of learning. Further explorations into the algorithm through simulated studies using real-world data uncovered alterations that enabled learning. These combined outcomes provided a means to better explore the inclusion of AI in the digital intervention space, with a dedicated design process and investigation of the feasibility of a conceptual framework in this domain showing both the current potential of such a system and where future work can push these ideas to provoke e˙ective behaviour change. E-Thesis Swansea, Wales, UK Behaviour change, machine learning, personalisation, physical activity 10 1 2024 2024-01-10 10.23889/SUthesis.65829 COLLEGE NANME COLLEGE CODE Swansea University Roach, Matt J. ; Wacharamanotham, Chat Doctoral Ph.D ESRC Wales Doctoral Training Partnership (DTP) 2024-03-13T10:25:50.6459809 2024-03-13T10:03:35.9681778 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science DARREN SCOTT 1 65829__29702__a0f62643316f49808bc596401e2b03b6.pdf Scott_Darren_PhD_Thesis_Final_Redacted_Signature.pdf 2024-03-13T10:14:59.5779121 Output 12316074 application/pdf E-Thesis – open access true Copyright: The author, Darren Scott, 2024. true eng
title Designing Novel Approaches to Personalise Behaviour Change in Intelligent Systems
spellingShingle Designing Novel Approaches to Personalise Behaviour Change in Intelligent Systems
DARREN SCOTT
title_short Designing Novel Approaches to Personalise Behaviour Change in Intelligent Systems
title_full Designing Novel Approaches to Personalise Behaviour Change in Intelligent Systems
title_fullStr Designing Novel Approaches to Personalise Behaviour Change in Intelligent Systems
title_full_unstemmed Designing Novel Approaches to Personalise Behaviour Change in Intelligent Systems
title_sort Designing Novel Approaches to Personalise Behaviour Change in Intelligent Systems
author_id_str_mv 4609b9890c2980dec0c1001d607ef807
author_id_fullname_str_mv 4609b9890c2980dec0c1001d607ef807_***_DARREN SCOTT
author DARREN SCOTT
author2 DARREN SCOTT
format E-Thesis
publishDate 2024
institution Swansea University
doi_str_mv 10.23889/SUthesis.65829
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description AI personalisation presents a promising source of innovation for improving the quality of behaviour change technologies. Current approaches are limited in their success, and a proposed solution is the inclusion of intelligent tailoring to best align users with their interventions. This thesis presents three key contributions that explore this promise: A classification system and accompanying survey to examine the current research landscape of intelligent personalisation; The E˙ect-Led Design process which combines high-eÿcacy, limitless expert design concepts with focused user discussion and refinement to best explore how to implement high eÿcacy AI that is acceptable to users; and a conceptual framework, the principles of which are tested in real-world situations to examine whether the intelligent algorithms are able to learn human behaviour and whether proposed systems of personalisation encourage motivation in users. The survey paper identified current trends in the contemporary personalised technology space and explored where the scope for innovation sits. E˙ect-Led Design showed promise in developing significantly di˙erent design concepts to those seen in contemporary applications, and both experts and users commented positively on the process. The studies testing the principles of the experimental platform showed the approaches were positively received by users in terms of motivation and engagement. However, initial implementation issues meant that algorithms did not return any significant evidence of learning. Further explorations into the algorithm through simulated studies using real-world data uncovered alterations that enabled learning. These combined outcomes provided a means to better explore the inclusion of AI in the digital intervention space, with a dedicated design process and investigation of the feasibility of a conceptual framework in this domain showing both the current potential of such a system and where future work can push these ideas to provoke e˙ective behaviour change.
published_date 2024-01-10T05:14:26Z
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score 11.089884

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