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

Q1 Social Sciences HumanMachine Communication Journal Pub Date : 2023-07-01 DOI:10.30658/hmc.6.10
Jessica Vitak, Priya C. Kumar, Yuting Liao, Michael Zimmer
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引用次数: 2

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.
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(非)使用语音助理的边界管制程序和隐私问题
作为人机通信的典范,嵌入智能手机和智能扬声器的基于语音的助手(VBA)简化了日常任务,同时收集了有关用户及其环境的重要数据。近年来,使用VBA的设备不断增加新功能,并以潜在的侵入性方式收集更多数据。以通信隐私管理理论为指导框架,我们分析了来自11个焦点小组的数据,其中包括65名美国成年VBA用户和非用户。研究结果突出了人们对VBA的态度和担忧的广泛差异,并深入了解了态度如何受到设备特征的影响。最后,我们考虑了如何应对人机交互中固有的边界管制挑战。
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来源期刊
CiteScore
10.00
自引率
0.00%
发文量
10
审稿时长
8 weeks
期刊最新文献
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