Artificial Intelligence-Based Conversational Agents Used for Sustainable Fashion: Systematic Literature Review

Manzo, Diana S. Hernandez; Jiang, Yang; Elyan, Eyad; Isaacs, John

Abstract

In the past five years, the textile industry has undergone significant transformations in response to evolving fashion trends and increased consumer garment turnover. To address the environmental impacts of fast fashion, the industry is embracing artificial intelligence (AI) and immersive technologies, particularly leveraging conversational agents as personalized guides for sustainable fashion practices. In this research article, we conduct a systematic literature review to categorize techniques, platforms, and applications of conversational agents in promoting sustainability within the fashion industry. Additionally, the review aims to scrutinize the solutions offered, identify gaps in the existing literature, and provide insights into the effectiveness and limitations of these conversational agents. Utilizing a predefined search strategy on IEEE Xplore, Google Scholar, SCOPUS, and Web of Science, 15 relevant articles were selected through a step-by-step procedure based on the guidelines of the PRISMA framework. The findings reveal a notable global interest in AI-powered conversational agents, with Italy emerging as a significant center for research in this domain. The studies predominantly focus on consumer perceptions and intentions regarding the adoption of AI technologies, indicating a broader curiosity about how individuals incorporate such innovations into their daily lives. Moreover, a substantial proportion of the studies employ diverse methods, reflecting a comprehensive approach to understanding the functionality and performance of conversational agents in various contexts. While acknowledging the historical precedence of text-based agents, the review highlights a research gap related to embodied agents. The conclusion emphasizes the need for continued exploration, particularly in understanding the broader impact of these technologies on creating sustainable and environmentally friendly business models in the e-retail sector.

Citation

Manzo, D. S. H., Jiang, Y., Elyan, E., & Isaacs, J. (in press). Artificial Intelligence-Based Conversational Agents Used for Sustainable Fashion: Systematic Literature Review. International Journal of Human-Computer Interaction, https://doi.org/10.1080/10447318.2024.2352920

• Journal Article Type: Article
• Acceptance Date: May 2, 2024
• Online Publication Date: May 23, 2024
• Deposit Date: May 27, 2024
• Publicly Available Date: May 28, 2024
• Journal: International Journal of Human–Computer Interaction
• Print ISSN: 1044-7318
• Electronic ISSN: 1532-7590
• Publisher: Taylor and Francis Group
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1080/10447318.2024.2352920
• Keywords: Sustainable fashion; Chatbots; Virtual assistants; Artificial intelligence; AI-based conversational agents
• Public URL: https://hull-repository.worktribe.com/output/4674667