Analysis of the Importance of Product Image of Intelligent Voice Assistant to Consumers' Willingness to Use

Authors

  • Xinfan Zhu

DOI:

https://doi.org/10.54097/fbem.v8i1.6053

Keywords:

Intelligent voice assistant, Product image, Consumer's willingness to use.

Abstract

AI applications, represented by intelligent voice assistants, have risen rapidly worldwide, bringing convenience to consumers and opening up new business models for enterprises. With the increasingly fierce market competition, intelligent voice assistants also have serious problems of homogeneity and high content overlap. In the past, it was difficult to establish advantages in competitive products with product design ideas that only meet the functional needs of consumers. In order to solve this problem, enterprises began to design the product image of intelligent voice assistant, trying to attract consumers and improve their willingness to use by innovating the product image of intelligent voice assistant. This article crawls the online review of an intelligent voice assistant product, analyzes the importance of product image design from the actual experience of consumers, and provides some reference significance for enterprises to design the image of intelligent voice assistant products and marketing strategies.

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References

A Robust Voice Activity Detection in Voice Assistant Application.International Acoustics & Audio Engineering Conference[C]. Serbia: University ofNovi Sad, 2015.

Nasirian F, Ahmadian M, Lee O K D. AI-Based Voice Assistant Systems: Evaluating from the Interaction and Trust Perspectives. Americas Conference on Information Systems[C]. Boston: AIS Electronic Library, 2017.

McLean G, Osei-Frimpong K. Hey Alexa ... examine the variables influencing the use ofartificial intelligent in-home voice assistants [J]. Computers in Human Behavior, 2019, 99: 28-37.

Ghosh S, Pherwani J. Designing of a Natural Voice Assistants for Mobile Through User Centered Design Approach [M]//KUROSU M. Human-Computer Interaction: Design and Evaluation, PtI. 2015: 320-331.

Braun M, Mainz A, Chadowitz R, et al. At Your Service: Designing Voice Assistant Personalities to Improve Automotive User Interfaces A Real World Driving Study [M].2019.

Jean-Frangois CEL. Anthropomorphic virtual assistants and the reactions of Internet users: An experiment on the assistant's voice [J]. Recherche et Applications en Marketing (English Edition), 2019,34(1): 28-47.

Chen Q Q, Park H J. How anthropomorphism affects trust in intelligent personal assistants [J]. Industrial Management & Data Systems, 2021.

Sezgin E, Huang Y, Ramtekkar U, et al. Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic [J]. npj Digital Medicine, 2020, 3(1).

Terzopoulos G, Satratzemi M. Voice Assistants and Smart Speakers in Everyday Life and in Education [J]. Informatics in Education, 2020: 473-490.

Whang C, Im H. "I Like Your Suggestion!" the role of humanlikeness and parasocial relationship on the website versus voice shopper's perception ofrecommendations [J]. Psychology & Marketing, 2021, 38(4): 581-595.

Burbach L, Halbach P, Plettenberg N, et al. "Hey, Siri", "Ok, Google", "Alexa". Acceptance-Relevant Factors of Virtual Voice-Assistants [M] . 20 1 9 Ieee International Professional Communication Conference. 2019: 101-111.

Sun Y, Li S, Yu L. The dark sides of AI personal assistant: effects of service failure on user continuance intention [J]. Electronic Markets, 2021.

Yilmaz M B, Rizvanoglu K. Understanding users' behavioral intention to use voice assistants on smartphones through the integrated model of user satisfaction and technology acceptance: a survey approach [J]. Journal of Engineering Design and Technology, 2021.

Hasan R, Shams R, Rahman M. Consumer trust and perceived risk for voice-controlled artificial intelligence: The case of Siri [J]. Journal of Business Research, 2021, 131: 591-597.

Aaker J L. Dimensions of brand personality[J]. Journal of marketing research, 1997, 34(3): 347-356.

Aggarwal P. The effects of brand relationship norms on consumer attitudes and behavior[J]. Journal of consumer research, 2004, 31(1): 87-101.

Novak T P, Hoffman D L, Yung Y F. Measuring the customer experience in online environments: A structural modeling approach[J]. Marketing science,2000,19(1).

Kim S, McGill A L. Gaming with Mr. Slot or gaming the slot machine? Power, anthropomorphism, and risk perception[J]. Journal of Consumer Research, 2011, 38(1): 94-107.

Huang M H, Rust R T. Artificial intelligence in service[J]. Journal of Service Research, 2018, 21(2): 155-172.

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Published

17-03-2023

Issue

Section

Articles

How to Cite

Zhu, X. (2023). Analysis of the Importance of Product Image of Intelligent Voice Assistant to Consumers’ Willingness to Use. Frontiers in Business, Economics and Management, 8(1), 124-126. https://doi.org/10.54097/fbem.v8i1.6053