Female Gendering of Artificial Intelligence in Travel: A Social Interaction Perspective

IF 2.6 4区管理学 Q2 HOSPITALITY, LEISURE, SPORT & TOURISM

Journal of Quality Assurance in Hospitality & Tourism Pub Date : 2023-10-26 DOI:10.1080/1528008x.2023.2275263

Yujia Chen, Hui Li, Tao Xue

{"title":"Female Gendering of Artificial Intelligence in Travel: A Social Interaction Perspective","authors":"Yujia Chen, Hui Li, Tao Xue","doi":"10.1080/1528008x.2023.2275263","DOIUrl":null,"url":null,"abstract":"ABSTRACTImplementing artificial intelligence enables the travel industry to improve efficiency, attract customers, and enhance their experiences. However, the typically biased social perceptions of humans are now applied to artificial intelligence, which has reinforced its female gendering in the industry. Nevertheless, the mechanism of its gendering process remains unclear. Guided by the gender theory, this study has explored how gendering is constructed through the social interaction perspective. Sixteen respondents who interacted with service robots or virtual assistants during their trip were recruited and interviewed via Zoom. Our findings suggest that the female gendering of artificial intelligence can be mapped from human-human to human-artificial intelligence interaction. Four main factors related to the social construction of the gendering process are identified. The findings contribute to understanding human-technology interaction and help tourism practitioners find a more cost-effective way to integrate human-technology collaboration strategies into their daily operations.KEYWORDS: Female genderingartificial intelligencesocial interactiontravel industry Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":46803,"journal":{"name":"Journal of Quality Assurance in Hospitality & Tourism","volume":"42 12","pages":"0"},"PeriodicalIF":2.6000,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Quality Assurance in Hospitality & Tourism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/1528008x.2023.2275263","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}

引用次数: 0

Abstract

ABSTRACTImplementing artificial intelligence enables the travel industry to improve efficiency, attract customers, and enhance their experiences. However, the typically biased social perceptions of humans are now applied to artificial intelligence, which has reinforced its female gendering in the industry. Nevertheless, the mechanism of its gendering process remains unclear. Guided by the gender theory, this study has explored how gendering is constructed through the social interaction perspective. Sixteen respondents who interacted with service robots or virtual assistants during their trip were recruited and interviewed via Zoom. Our findings suggest that the female gendering of artificial intelligence can be mapped from human-human to human-artificial intelligence interaction. Four main factors related to the social construction of the gendering process are identified. The findings contribute to understanding human-technology interaction and help tourism practitioners find a more cost-effective way to integrate human-technology collaboration strategies into their daily operations.KEYWORDS: Female genderingartificial intelligencesocial interactiontravel industry Disclosure statementNo potential conflict of interest was reported by the author(s).

查看原文本刊更多论文

旅游中人工智能的女性性别化:一个社会互动视角

摘要人工智能的应用使旅游业能够提高效率，吸引客户，并增强他们的体验。然而，社会对人类的偏见现在被应用到人工智能上，这强化了该行业的女性性别化。然而，其性别化过程的机制仍不清楚。本研究以社会性别理论为指导，从社会互动的角度探讨社会性别是如何建构的。16名受访者在旅途中与服务机器人或虚拟助手进行了互动，他们通过Zoom招募并接受了采访。我们的研究结果表明，人工智能的女性性别可以从人与人的互动映射到人与人工智能的互动。确定了与性别化过程的社会建构相关的四个主要因素。研究结果有助于理解人与技术的互动，并帮助旅游从业者找到一种更具成本效益的方式，将人与技术的合作策略整合到他们的日常运营中。关键词:女性性别人工智能社交互动旅游业披露声明作者未报告潜在利益冲突

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

Journal of Quality Assurance in Hospitality & Tourism HOSPITALITY, LEISURE, SPORT & TOURISM-

CiteScore

7.00

自引率

18.20%

发文量

期刊介绍： The Journal of Quality Assurance in Hospitality & Tourism serves as a medium to share and disseminate new research findings, theoretical development and superior practices in hospitality and tourism. The journal aims to publish cutting-edge, empirically and theoretically sound research articles on quality planning, development, management, marketing, evaluation, and adjustments within the field. Readers of the journal stay up-to-date on the latest theory development and research findings, ways to improve business practices, successful hospitality strategies, maintenance of profit requirements, and increasing market share in this complex and growing field. Comprised of conceptual and methodological research papers, research notes, case studies, and review books and conferences the Journal of Quality Assurance in Hospitality & Tourism offers readers examples of real world practices and experiences that involve: -Organizational development and improvement -Operational and efficiency issues -Quality policy and strategy development and implementation -Quality function deployment -Quality experiences in hospitality industry -Service quality improvement and customer satisfaction -Managerial issues, such as employee empowerment & benefits, quality costs, & returns on investment -The role and participation of private and public sectors, including residents -International, national, and regional tourism; tourism destination sites; arid systems of tourism