Boundary Regulation Processes and Privacy Concerns With (Non-)Use of Voice-Based Assistants

Author:

Vitak Jessica1ORCID,Kumar Priya2ORCID,Liao Yuting3ORCID,Zimmer Michael4ORCID

Affiliation:

1. University of Maryland at College Park

2. Pennsylvania State University

3. Intuit Inc.

4. Marquette University

Abstract

An exemplar of human-machine communication, voice-based assistants (VBAs) embedded in smartphones and smart speakers simplify everyday tasks while collecting significant data about users and their environment. In recent years, devices using VBAs have continued to add new features and collect more data—in potentially invasive ways. Using Communication Privacy Management theory as a guiding framework, we analyze data from 11 focus groups with 65 US adult VBA users and nonusers. Findings highlight differences in attitudes and concerns toward VBAs broadly and provide insights into how attitudes are influenced by device features. We conclude with considerations for how to address boundary regulation challenges inherent in human-machine interactions.

Publisher

Nicholson School of Communication, UCF

Subject

Social Sciences (miscellaneous),Communication,Health (social science)

Reference30 articles.

1. Alhammadi, A., AlZaabi, A., AlMarzooqi, B., AlNeyadi, S., AlHashmi, Z., & Shatnawi, M. (2019). Survey of IoT-based smart home approaches. 2019 Advances in Science and Engineering Technology International Conferences (pp. 1–6). IEEE. https://doi.org/10.1109/ ICASET.2019.8714572

2. Altman, I. (1975). The environment and social behavior: Privacy, personal space, territory, crowding. Brooks/Cole Publishing Company.

3. Ammari, T., Kaye, J., Tsai, J. Y., & Bentley, F. (2019). Music, search, and IoT: How people (really) use voice assistants. ACM Transactions on Computer-Human Interaction, 26(3), 1–28. https://doi.org/10.1145/3311956

4. Boeckl, K., Fagan, M., Fisher, W., Lefkovitz, N., Megas, K., Nadeau, E., Piccarreta, B., Gabel O’Rourke, D., & Scarfone, K. (2019). Considerations for managing internet of things (IoT) cybersecurity and privacy risks (NIST Internal or Interagency Report 8228). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.IR.8228

5. boyd, danah. (2010). Social network sites as networked publics: Affordances, dynamics, and implications. In Z. Papacharissi (Ed.), A networked self (pp. 39–58). Routledge. https:// doi.org/10.4324/9780203876527-8 Chokshi, N. (2018, March 8). Amazon knows why Alexa was laughing at its customers. The New York Times. https://web.archive.org/web/20180309093135/https://www.nytimes. com/2018/03/08/business/alexa-laugh-amazon-echo.html Culnan, M. J. (1993). “How did they get my name?”: An exploratory investigation of consumer attitudes toward secondary information use. MIS Quarterly, 17(3), 341–363. https://doi.org/10.2307/249775 Day, M., Turner, G., & Drozdiak, N. (2019, April 24). Amazon’s Alexa team can access users’ home addresses. Bloomberg. https://web.archive.org/web/20190426112016/https://www. bloomberg.com/news/articles/2019-04-24/amazon-s-alexa-reviewers-can-access-customers-home-addresses

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. It’s not her fault: Trust through anthropomorphism among young adult Amazon Alexa users;Convergence: The International Journal of Research into New Media Technologies;2023-10-09

2. "You Shouldn't Need to Share Your Data": Perceived Privacy Risks and Mitigation Strategies Among Privacy-Conscious Smart Home Power Users;Proceedings of the ACM on Human-Computer Interaction;2023-09-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3