research-article

A Model of Consumer Perception and Behavioral Intention for AI Service

Authors:

Shu-Mei Wang,

Yu-Kai Huang,

Chi-Cheng WangAuthors Info & Claims

MSIE '20: Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering

Pages 196 - 201

https://doi.org/10.1145/3396743.3396791

Published: 29 May 2020 Publication History

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Abstract

The success of AlphaGo makes artificial intelligence once again widely reported and concerned. At present, artificial intelligence has gone from speech recognition to natural language processing to smart voice assistants, from graphic recognition to machine vision to smart supermarkets. The application of artificial intelligence has made significant progress in many fields, and smart speakers with natural language processing as the core technology are currently attracting attention. AI application services based on natural language technology include mobile phone voice assistants, smart speakers, and humanoid robots. Although these different types of AI application services are given the important task of human-machine communication and service interface in the future AI society, the common point is that these smart speakers have the service function of dissemination. The application of AI is an important issue for the development of various types of industries in the next few years. Unfortunately, there is a lack of research in this area in the previous literature. We also build some propose management of AI service implications for physical bookstores management based on the results of model analysis.

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Farooq MHassan KNawaz F(2024)Integrating Qualitative and Quantitative Approaches: The Impact of AI Design on Consumer Perception and Buying Behavior in the FMCG SectorBulletin of Business and Economics (BBE)10.61506/01.0039313:2(775-786)Online publication date: 1-Jun-2024
https://doi.org/10.61506/01.00393
Deo AGupta SKundu RJaiswal PFatma TDehury M(2024)Performance and Metrics Analysis Between Python3 via Mojo2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)10.1109/ICSCSS60660.2024.10625342(1291-1297)Online publication date: 10-Jul-2024
https://doi.org/10.1109/ICSCSS60660.2024.10625342
Zhao GTu C(2022)A literature review on user acceptance of AI-enabled applicationJournal of Computing Sciences in Colleges10.5555/3532930.353293437:6(25-35)Online publication date: 1-Apr-2022
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Index Terms

A Model of Consumer Perception and Behavioral Intention for AI Service
1. Human-centered computing
  1. Human computer interaction (HCI)

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MSIE '20: Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering

April 2020

341 pages

ISBN:9781450377065

DOI:10.1145/3396743

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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College of Technology Management, National Tsing Hua University, Taiwan

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Published: 29 May 2020

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Nanhua University

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MSIE 2020: 2020 2nd International Conference on Management Science and Industrial Engineering

April 7 - 9, 2020

Osaka, Japan

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https://doi.org/10.61506/01.00393
Deo AGupta SKundu RJaiswal PFatma TDehury M(2024)Performance and Metrics Analysis Between Python3 via Mojo2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)10.1109/ICSCSS60660.2024.10625342(1291-1297)Online publication date: 10-Jul-2024
https://doi.org/10.1109/ICSCSS60660.2024.10625342
Zhao GTu C(2022)A literature review on user acceptance of AI-enabled applicationJournal of Computing Sciences in Colleges10.5555/3532930.353293437:6(25-35)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.5555/3532930.3532934
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Preliminary Study of Factors Affecting the Spread and Resistance of Consumers' Use of AI Customer Service

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Preliminary Study of Factors Affecting the Spread and Resistance of Consumers' Use of AI Customer Service

How Should "AI Speakers" Touch Consumer Hearts?: Text Mining of Mass Media about AI Speakers

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