Towards Sustainable Interaction in the Home Appliance Industry: An AI-Powered Dialogue System Approach
Authors: 
Xing Liu, Yi Jiang, Yikai Huang, Hua Zhang, Zhiying TuAuthors Info & Claims
Pages 556 - 561
Abstract
Advancements in AI have spotlighted the importance of interaction research tailored to specific vertical domains, such as distinct industries or market sectors with unique needs. Using the home appliance industry as a case in point, there exists a palpable gap in harnessing AI for enduring, multi-stage user engagement. This study endeavors to fill this void, proposing a bespoke system model grounded in a dialogue system tailored for this vertical domain. Harnessing intent recognition, knowledge graph technologies, and user profile insights, a dialogue robot module was engineered to provide finely-tuned product recommendations. Complemented by a supporting module dedicated to data visualization and continuous user profile evolution, our framework underscores the shift towards sustainable, long-term interactions. Drawing insights from 25,139 home appliance reviews and 5,585 knowledge graph entries, our findings not only offer a pioneering interaction paradigm for the home appliance sector but also hint at its applicability across analogous vertical domains.
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- Towards Sustainable Interaction in the Home Appliance Industry: An AI-Powered Dialogue System Approach
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Published In
November 2023
634 pages
ISBN:9798400716454
DOI:10.1145/3629606
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 27 February 2024
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CHCHI 2023
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Overall Acceptance Rate 17 of 40 submissions, 43%
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