Requirements engineering framework for human-centered artificial intelligence software systems

Ahmad, K; Abdelrazek, M; Arora, C; Agrahari Baniya, A; Bano, M; Grundy, J

Requirements engineering framework for human-centered artificial intelligence software systems

Ahmad, K Abdelrazek, M Arora, C Agrahari Baniya, A Bano, M

Grundy, J

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Applied Soft Computing, 2023, 143
Issue Date:: 2023-08-01

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Field	Value	Language
dc.contributor.author	Ahmad, K
dc.contributor.author	Abdelrazek, M
dc.contributor.author	Arora, C
dc.contributor.author	Agrahari Baniya, A
dc.contributor.author	Bano, M https://orcid.org/0000-0002-1447-9521
dc.contributor.author	Grundy, J
dc.date.accessioned	2024-03-28T02:38:43Z
dc.date.available	2024-03-28T02:38:43Z
dc.date.issued	2023-08-01
dc.identifier.citation	Applied Soft Computing, 2023, 143
dc.identifier.issn	1568-4946
dc.identifier.issn	1872-9681
dc.identifier.uri	http://hdl.handle.net/10453/177320
dc.description.abstract	Context: Artificial intelligence (AI) components used in building software solutions have substantially increased in recent years. However, many of these solutions focus on technical aspects and ignore critical human-centered aspects. Objective: Including human-centered aspects during requirements engineering (RE) when building AI-based software can help achieve more responsible, unbiased, and inclusive AI-based software solutions. Method: In this paper, we present a new framework developed based on human-centered AI guidelines and a user survey to aid in collecting requirements for human-centered AI-based software. We provide a catalog to elicit these requirements and a conceptual model to present them visually. Results: The framework is applied to a case study to elicit and model requirements for enhancing the quality of 360° videos intended for virtual reality (VR) users. Conclusion: We found that our proposed approach helped the project team fully understand the human-centered needs of the project to deliver. Furthermore, the framework helped to understand what requirements need to be captured at the initial stages against later stages in the engineering process of AI-based software.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Applied Soft Computing
dc.relation.isbasedon	10.1016/j.asoc.2023.110455
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0102 Applied Mathematics, 0801 Artificial Intelligence and Image Processing, 0806 Information Systems
dc.subject.classification	Artificial Intelligence & Image Processing
dc.subject.classification	4602 Artificial intelligence
dc.subject.classification	4903 Numerical and computational mathematics
dc.title	Requirements engineering framework for human-centered artificial intelligence software systems
dc.type	Journal Article
utslib.citation.volume	143
utslib.for	0102 Applied Mathematics
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0806 Information Systems
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2024-03-28T02:38:41Z
pubs.publication-status	Published
pubs.volume	143

Abstract:

Context: Artificial intelligence (AI) components used in building software solutions have substantially increased in recent years. However, many of these solutions focus on technical aspects and ignore critical human-centered aspects. Objective: Including human-centered aspects during requirements engineering (RE) when building AI-based software can help achieve more responsible, unbiased, and inclusive AI-based software solutions. Method: In this paper, we present a new framework developed based on human-centered AI guidelines and a user survey to aid in collecting requirements for human-centered AI-based software. We provide a catalog to elicit these requirements and a conceptual model to present them visually. Results: The framework is applied to a case study to elicit and model requirements for enhancing the quality of 360° videos intended for virtual reality (VR) users. Conclusion: We found that our proposed approach helped the project team fully understand the human-centered needs of the project to deliver. Furthermore, the framework helped to understand what requirements need to be captured at the initial stages against later stages in the engineering process of AI-based software.

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http://hdl.handle.net/10453/177320