How AI-Powered Assistance Bridges Attention, Comprehension, Acceptance and Purchase Intention in Online Shopping

Li Bo Guo; Ying Tuan Lo; Andrew King; Yang Luo; Andrew Huey Ping Tan

doi:10.1007/978-981-96-3949-6_21

How AI-Powered Assistance Bridges Attention, Comprehension, Acceptance and Purchase Intention in Online Shopping

Li Bo Guo
, Ying Tuan Lo^*
, Andrew King
, Yang Luo
, Andrew Huey Ping Tan

^*Corresponding author for this work

Department of Business Administration
Meizhouwan Vocational Technology College
SEGi University
Graduate School of Business

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

This research aims to investigate the mediating role of AI-powered assistance in the relationship between consumer attention, comprehension, acceptance, and purchase intention on e-commerce platforms. By exploring how AI technologies influence consumer behavior, this study seeks to provide a comprehensive understanding of the mechanisms through which AI-driven features enhance the online shopping experience and impact purchasing decisions. The findings will contribute to the growing body of knowledge on AI integration in e-commerce, offering practical insights for online retailers to optimize their use of AI technologies to drive consumer engagement and increase sales. Key areas of focus include the credibility of information sources, the nature of message content, and user characteristics, all of which play critical roles in shaping consumer behavior. This research employs a conceptual model integrating theories from consumer psychology, marketing, and artificial intelligence to analyze and optimize the online shopping experience.

Original language	English
Title of host publication	Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics
Editors	Wei Chen, Andrew Huey Ping Tan, Yang Luo, Long Huang, Yuyi Zhu, Anwar PP Abdul Majeed, Fan Zhang, Yuyao Yan, Chenguang Liu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	279-286
Number of pages	8
ISBN (Print)	9789819639489
DOIs	https://doi.org/10.1007/978-981-96-3949-6_21
Publication status	Published - 2025
Event	2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Suzhou, China Duration: 22 Aug 2024 → 23 Aug 2024

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1316 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024
Country/Territory	China
City	Suzhou
Period	22/08/24 → 23/08/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Keywords

AI-powered Assistance
Consumer Behavior
Online Shopping
Purchase Intention

Access to Document

10.1007/978-981-96-3949-6_21

Cite this

Guo, L. B., Lo, Y. T., King, A., Luo, Y., & Tan, A. H. P. (2025). How AI-Powered Assistance Bridges Attention, Comprehension, Acceptance and Purchase Intention in Online Shopping. In W. Chen, A. H. Ping Tan, Y. Luo, L. Huang, Y. Zhu, A. PP Abdul Majeed, F. Zhang, Y. Yan, & C. Liu (Eds.), Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics (pp. 279-286). (Lecture Notes in Networks and Systems; Vol. 1316 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-3949-6_21

Guo, Li Bo ; Lo, Ying Tuan ; King, Andrew et al. / How AI-Powered Assistance Bridges Attention, Comprehension, Acceptance and Purchase Intention in Online Shopping. Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics. editor / Wei Chen ; Andrew Huey Ping Tan ; Yang Luo ; Long Huang ; Yuyi Zhu ; Anwar PP Abdul Majeed ; Fan Zhang ; Yuyao Yan ; Chenguang Liu. Springer Science and Business Media Deutschland GmbH, 2025. pp. 279-286 (Lecture Notes in Networks and Systems).

@inproceedings{b3ef084581b14feebd3f355ee4856f2a,

title = "How AI-Powered Assistance Bridges Attention, Comprehension, Acceptance and Purchase Intention in Online Shopping",

abstract = "This research aims to investigate the mediating role of AI-powered assistance in the relationship between consumer attention, comprehension, acceptance, and purchase intention on e-commerce platforms. By exploring how AI technologies influence consumer behavior, this study seeks to provide a comprehensive understanding of the mechanisms through which AI-driven features enhance the online shopping experience and impact purchasing decisions. The findings will contribute to the growing body of knowledge on AI integration in e-commerce, offering practical insights for online retailers to optimize their use of AI technologies to drive consumer engagement and increase sales. Key areas of focus include the credibility of information sources, the nature of message content, and user characteristics, all of which play critical roles in shaping consumer behavior. This research employs a conceptual model integrating theories from consumer psychology, marketing, and artificial intelligence to analyze and optimize the online shopping experience.",

keywords = "AI-powered Assistance, Consumer Behavior, Online Shopping, Purchase Intention",

author = "Guo, \{Li Bo\} and Lo, \{Ying Tuan\} and Andrew King and Yang Luo and Tan, \{Andrew Huey Ping\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 ; Conference date: 22-08-2024 Through 23-08-2024",

year = "2025",

doi = "10.1007/978-981-96-3949-6\_21",

language = "English",

isbn = "9789819639489",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "279--286",

editor = "Wei Chen and \{Ping Tan\}, \{Andrew Huey\} and Yang Luo and Long Huang and Yuyi Zhu and \{PP Abdul Majeed\}, Anwar and Fan Zhang and Yuyao Yan and Chenguang Liu",

booktitle = "Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics",

}

Guo, LB, Lo, YT, King, A, Luo, Y & Tan, AHP 2025, How AI-Powered Assistance Bridges Attention, Comprehension, Acceptance and Purchase Intention in Online Shopping. in W Chen, AH Ping Tan, Y Luo, L Huang, Y Zhu, A PP Abdul Majeed, F Zhang, Y Yan & C Liu (eds), Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics. Lecture Notes in Networks and Systems, vol. 1316 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 279-286, 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024, Suzhou, China, 22/08/24. https://doi.org/10.1007/978-981-96-3949-6_21

How AI-Powered Assistance Bridges Attention, Comprehension, Acceptance and Purchase Intention in Online Shopping. / Guo, Li Bo; Lo, Ying Tuan; King, Andrew et al.
Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics. ed. / Wei Chen; Andrew Huey Ping Tan; Yang Luo; Long Huang; Yuyi Zhu; Anwar PP Abdul Majeed; Fan Zhang; Yuyao Yan; Chenguang Liu. Springer Science and Business Media Deutschland GmbH, 2025. p. 279-286 (Lecture Notes in Networks and Systems; Vol. 1316 LNNS).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - How AI-Powered Assistance Bridges Attention, Comprehension, Acceptance and Purchase Intention in Online Shopping

AU - Guo, Li Bo

AU - Lo, Ying Tuan

AU - King, Andrew

AU - Luo, Yang

AU - Tan, Andrew Huey Ping

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

PY - 2025

Y1 - 2025

N2 - This research aims to investigate the mediating role of AI-powered assistance in the relationship between consumer attention, comprehension, acceptance, and purchase intention on e-commerce platforms. By exploring how AI technologies influence consumer behavior, this study seeks to provide a comprehensive understanding of the mechanisms through which AI-driven features enhance the online shopping experience and impact purchasing decisions. The findings will contribute to the growing body of knowledge on AI integration in e-commerce, offering practical insights for online retailers to optimize their use of AI technologies to drive consumer engagement and increase sales. Key areas of focus include the credibility of information sources, the nature of message content, and user characteristics, all of which play critical roles in shaping consumer behavior. This research employs a conceptual model integrating theories from consumer psychology, marketing, and artificial intelligence to analyze and optimize the online shopping experience.

AB - This research aims to investigate the mediating role of AI-powered assistance in the relationship between consumer attention, comprehension, acceptance, and purchase intention on e-commerce platforms. By exploring how AI technologies influence consumer behavior, this study seeks to provide a comprehensive understanding of the mechanisms through which AI-driven features enhance the online shopping experience and impact purchasing decisions. The findings will contribute to the growing body of knowledge on AI integration in e-commerce, offering practical insights for online retailers to optimize their use of AI technologies to drive consumer engagement and increase sales. Key areas of focus include the credibility of information sources, the nature of message content, and user characteristics, all of which play critical roles in shaping consumer behavior. This research employs a conceptual model integrating theories from consumer psychology, marketing, and artificial intelligence to analyze and optimize the online shopping experience.

KW - AI-powered Assistance

KW - Consumer Behavior

KW - Online Shopping

KW - Purchase Intention

UR - https://www.scopus.com/pages/publications/105002713068

U2 - 10.1007/978-981-96-3949-6_21

DO - 10.1007/978-981-96-3949-6_21

M3 - Conference Proceeding

AN - SCOPUS:105002713068

SN - 9789819639489

T3 - Lecture Notes in Networks and Systems

SP - 279

EP - 286

BT - Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics

A2 - Chen, Wei

A2 - Ping Tan, Andrew Huey

A2 - Luo, Yang

A2 - Huang, Long

A2 - Zhu, Yuyi

A2 - PP Abdul Majeed, Anwar

A2 - Zhang, Fan

A2 - Yan, Yuyao

A2 - Liu, Chenguang

PB - Springer Science and Business Media Deutschland GmbH

T2 - 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024

Y2 - 22 August 2024 through 23 August 2024

ER -

Guo LB, Lo YT, King A, Luo Y , Tan AHP. How AI-Powered Assistance Bridges Attention, Comprehension, Acceptance and Purchase Intention in Online Shopping. In Chen W, Ping Tan AH, Luo Y, Huang L, Zhu Y, PP Abdul Majeed A, Zhang F, Yan Y, Liu C, editors, Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics. Springer Science and Business Media Deutschland GmbH. 2025. p. 279-286. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-96-3949-6_21

How AI-Powered Assistance Bridges Attention, Comprehension, Acceptance and Purchase Intention in Online Shopping

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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