Article

Interactive Behavior Change Model (IBCM 8.0): Theory and Ontology

Authors:

Brian Cugelman,

Agnis StibeAuthors Info & Claims

Mobile Web and Intelligent Information Systems: 19th International Conference, MobiWIS 2023, Marrakech, Morocco, August 14–16, 2023, Proceedings

Pages 145 - 160

https://doi.org/10.1007/978-3-031-39764-6_10

Published: 14 August 2023 Publication History

Abstract

This paper presents the Interactive Behavior Change Model (IBCM 8.0), a system that integrates behavior change principles from neuroscience, psychology, and behavioral science into a behavioral meta-theory. With its broad, application-agnostic nature, the IBCM provides insight into behavior change, how it operates, and offers an alternative explanation for why various behavior change models work or do not work. It has applications as a behavioral system for education, research, analysis, intervention design, and implementation in various technologies, especially self-adaptive systems run by rule-based engines or artificial intelligence (AI). Due to space limits, this paper covers the model structure and theory with a limited high-level overview of its ontology.

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Cited By

Stibe A(2024)Transformation Design Framework for AI-Driven Hyper-performanceMobile Web and Intelligent Information Systems10.1007/978-3-031-68005-2_16(220-236)Online publication date: 18-Aug-2024
https://dl.acm.org/doi/10.1007/978-3-031-68005-2_16
Stibe ADinh T(2024)Exploring Human Artificial Intelligence Using the Knowledge Behavior Gap ModelMobile Web and Intelligent Information Systems10.1007/978-3-031-68005-2_14(189-203)Online publication date: 18-Aug-2024
https://dl.acm.org/doi/10.1007/978-3-031-68005-2_14
Dinh TStibe A(2024)Applying the Knowledge Behavior Gap Model to Study the Acceptance of Blockchain-Based SolutionsMobile Web and Intelligent Information Systems10.1007/978-3-031-68005-2_10(131-146)Online publication date: 18-Aug-2024
https://dl.acm.org/doi/10.1007/978-3-031-68005-2_10

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Information & Contributors

Information

Published In

cover image Guide Proceedings

Mobile Web and Intelligent Information Systems: 19th International Conference, MobiWIS 2023, Marrakech, Morocco, August 14–16, 2023, Proceedings

Aug 2023

283 pages

ISBN:978-3-031-39763-9

DOI:10.1007/978-3-031-39764-6

Editors:
Muhammad Younas
https://ror.org/04v2twj65Oxford Brookes University, Oxford, UK
,
Irfan Awan
https://ror.org/00vs8d940University of Bradford, Bradford, UK
,
Tor-Morten Grønli
https://ror.org/03gss5916Kristiania University College, Oslo, Norway

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

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 14 August 2023

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Cited By

Stibe A(2024)Transformation Design Framework for AI-Driven Hyper-performanceMobile Web and Intelligent Information Systems10.1007/978-3-031-68005-2_16(220-236)Online publication date: 18-Aug-2024
https://dl.acm.org/doi/10.1007/978-3-031-68005-2_16
Stibe ADinh T(2024)Exploring Human Artificial Intelligence Using the Knowledge Behavior Gap ModelMobile Web and Intelligent Information Systems10.1007/978-3-031-68005-2_14(189-203)Online publication date: 18-Aug-2024
https://dl.acm.org/doi/10.1007/978-3-031-68005-2_14
Dinh TStibe A(2024)Applying the Knowledge Behavior Gap Model to Study the Acceptance of Blockchain-Based SolutionsMobile Web and Intelligent Information Systems10.1007/978-3-031-68005-2_10(131-146)Online publication date: 18-Aug-2024
https://dl.acm.org/doi/10.1007/978-3-031-68005-2_10

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