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Artificial intelligence-based conversational agents used for sustainable fashion: systematic literature review.

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

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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 personalised guides for sustainable fashion practices. In this research paper, we conduct a systematic literature review to categorise techniques, platforms, and applications of conversational agents in promoting sustainability within the fashion industry. Additionally, the review aims to scrutinise the solutions offered, identify gaps in the existing literature, and provide insights into the effectiveness and limitations of these conversational agents. Utilising 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 centre 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 employs 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 emphasises 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

HERNANDEZ MANZO, D.S., JIANG, Y., ELYAN, E. and ISAACS, J. [2024]. Artificial intelligence-based conversational agents used for sustainable fashion: systematic literature review. International journal of human-computer interaction [online], (accepted). To be made available from: https://doi.org/10.1080/10447318.2024.2352920

Journal Article Type Review
Acceptance Date May 2, 2024
Deposit Date May 14, 2024
Publicly Available Date May 14, 2024
Journal International journal of human-computer interaction
Print ISSN 1044-7318
Electronic ISSN 1532-7590
Publisher Taylor and Francis
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://rgu-repository.worktribe.com/output/2338258

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