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Requirements engineering framework for human-centered artificial intelligence software systems
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DOI：10.1016/j.asoc.2023.110455.png)
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Abstract
En 中文
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 degrees 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.& COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords:
Requirements engineering
Software engineering
Artificial intelligence
Machine learning
Human-centered
Conceptual modeling
Virtual reality
Empirical software engineering
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