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Chatbot design approaches for fashion E-commerce: an interdisciplinary review

Chatbot design approaches for fashion E-commerce: an interdisciplinary review
Chatbot design approaches for fashion E-commerce: an interdisciplinary review
Chatbots can bring innovation in online assistance and communication with customers. Due to the growth of e-commerce, fashion brands have been adopting chatbots to provide personalised consumer experiences. Research in the area of chatbots for fashion e-commerce has addressed technological advancements and consumer behaviour, but little has been done on analysing chatbot features through a holistic point of view. The aim of this paper is to offer an interdisciplinary review through a comprehensive categorisation of recent studies on the theme and inform future research in the area. To achieve that, a theme-based literature review was carried out through the analysis of specialised research. The collected work was categorised addressing both computational and non-computational perspectives. The findings show that Deep Learning, recommendation systems, audio recognition and integration of chatbots with other fashion applications are a few design opportunities to be applied in both research and practice.
E-commerce, chatbot, dialog systems, fashion, virtual assistant
1754-3274
Landim, A R D B
e93bb677-c4a1-4ff6-8d77-10998d81f4fa
Pereira, A. M.
0494590c-c4fb-4571-8625-a4beb765e693
Vieira, Thales
fea84b1f-03d0-41b6-9f3a-99b10c1b3917
Moura, Antão
b4b32f87-34aa-430d-8d25-9c0a6ab0a1bd
Wanick, Vanissa
d2941cae-269e-4672-b448-8cb93e22e89e
Bazaki, Eirini
df6ddfcb-9794-48d9-95fc-f341f1d3c695
Landim, A R D B
e93bb677-c4a1-4ff6-8d77-10998d81f4fa
Pereira, A. M.
0494590c-c4fb-4571-8625-a4beb765e693
Vieira, Thales
fea84b1f-03d0-41b6-9f3a-99b10c1b3917
Moura, Antão
b4b32f87-34aa-430d-8d25-9c0a6ab0a1bd
Wanick, Vanissa
d2941cae-269e-4672-b448-8cb93e22e89e
Bazaki, Eirini
df6ddfcb-9794-48d9-95fc-f341f1d3c695

Landim, A R D B, Pereira, A. M., Vieira, Thales, Moura, Antão, Wanick, Vanissa and Bazaki, Eirini (2021) Chatbot design approaches for fashion E-commerce: an interdisciplinary review. International Journal of Fashion Design, Technology and Education. (doi:10.1080/17543266.2021.1990417).

Record type: Article

Abstract

Chatbots can bring innovation in online assistance and communication with customers. Due to the growth of e-commerce, fashion brands have been adopting chatbots to provide personalised consumer experiences. Research in the area of chatbots for fashion e-commerce has addressed technological advancements and consumer behaviour, but little has been done on analysing chatbot features through a holistic point of view. The aim of this paper is to offer an interdisciplinary review through a comprehensive categorisation of recent studies on the theme and inform future research in the area. To achieve that, a theme-based literature review was carried out through the analysis of specialised research. The collected work was categorised addressing both computational and non-computational perspectives. The findings show that Deep Learning, recommendation systems, audio recognition and integration of chatbots with other fashion applications are a few design opportunities to be applied in both research and practice.

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17543266.2021 - Version of Record
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More information

Accepted/In Press date: 2021
Published date: 2 November 2021
Additional Information: Publisher Copyright: © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Keywords: E-commerce, chatbot, dialog systems, fashion, virtual assistant

Identifiers

Local EPrints ID: 452653
URI: http://eprints.soton.ac.uk/id/eprint/452653
ISSN: 1754-3274
PURE UUID: 47a8c17c-e33a-4fcd-b3e3-8ea41e247fba
ORCID for Vanissa Wanick: ORCID iD orcid.org/0000-0002-6367-1202

Catalogue record

Date deposited: 11 Dec 2021 11:30
Last modified: 14 Dec 2024 02:53

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Contributors

Author: A R D B Landim
Author: A. M. Pereira
Author: Thales Vieira
Author: Antão Moura
Author: Vanissa Wanick ORCID iD
Author: Eirini Bazaki

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