Understanding users' voice assistant exploration intention: unraveling the differential mechanisms of the multiple dimensions of perceived intelligence

IF 5.9 3区管理学 Q1 BUSINESS

Internet Research Pub Date : 2024-02-12 DOI:10.1108/intr-10-2022-0807

Yiming Zhao, Yu Chen, Yongqiang Sun, Xiao-Liang Shen

{"title":"Understanding users' voice assistant exploration intention: unraveling the differential mechanisms of the multiple dimensions of perceived intelligence","authors":"Yiming Zhao, Yu Chen, Yongqiang Sun, Xiao-Liang Shen","doi":"10.1108/intr-10-2022-0807","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>The purpose of this study is to develop a framework for the perceived intelligence of VAs and explore the mechanisms of different dimensions of the perceived intelligence of VAs on users’ exploration intention (UEI) and how these antecedents can collectively result in the highest level of UEI.</p>\n<h3>Design/methodology/approach</h3>\n<p>An online survey on Amazon Mechanical Turk is employed. The model is tested utilizing the structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) approach from the collected data of VA users (<em>N</em> = 244).</p>\n<h3>Findings</h3>\n<p>According to the SEM outcomes, perceptual, cognitive, emotional and social intelligence have different mechanisms on UEI. Findings from the fsQCA reinforce the SEM results and provide the configurations that enhanced UEI.</p>\n<h3>Originality/value</h3>\n<p>This study extends the conceptual framework of perceived intelligence and enriches the literature on anthropomorphism and users’ exploration. These findings also provide insightful suggestions for practitioners regarding the design of VA products.</p>","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":null,"pages":null},"PeriodicalIF":5.9000,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet Research","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1108/intr-10-2022-0807","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}

引用次数: 0

Abstract

Purpose

The purpose of this study is to develop a framework for the perceived intelligence of VAs and explore the mechanisms of different dimensions of the perceived intelligence of VAs on users’ exploration intention (UEI) and how these antecedents can collectively result in the highest level of UEI.

Design/methodology/approach

An online survey on Amazon Mechanical Turk is employed. The model is tested utilizing the structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) approach from the collected data of VA users (N = 244).

Findings

According to the SEM outcomes, perceptual, cognitive, emotional and social intelligence have different mechanisms on UEI. Findings from the fsQCA reinforce the SEM results and provide the configurations that enhanced UEI.

Originality/value

This study extends the conceptual framework of perceived intelligence and enriches the literature on anthropomorphism and users’ exploration. These findings also provide insightful suggestions for practitioners regarding the design of VA products.

查看原文本刊更多论文

理解用户的语音助手探索意图：揭示感知智能多维度的差异机制

本研究的目的是建立一个虚拟机构感知智能的框架，并探索虚拟机构感知智能的不同维度对用户探索意向（UEI）的影响机制，以及这些前因如何共同导致最高水平的UEI。研究结果根据结构方程建模（SEM）和模糊集定性比较分析（fsQCA）的结果，感知智能、认知智能、情绪智能和社会智能对用户体验指数有不同的影响机制。本研究扩展了感知智能的概念框架，丰富了有关拟人化和用户探索的文献。这些研究结果还为从业人员设计虚拟现实产品提供了富有洞察力的建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Internet Research 工程技术-电信学

CiteScore

11.20

自引率

10.20%

发文量

审稿时长

>12 weeks

期刊介绍： This wide-ranging interdisciplinary journal looks at the social, ethical, economic and political implications of the internet. Recent issues have focused on online and mobile gaming, the sharing economy, and the dark side of social media.