Revealing or concealing: privacy information disclosure in intelligent voice assistant usage- a configurational approach

Abstract

PurposeBased on communication privacy management (CPM) theory, this study aimed to explore how gender and age criteria, motivational criterion (locatability), benefit-risk ratio criteria (perceived benefits of privacy information disclosure and privacy concerns), contextual criteria (privacy experience) and boundary coordination and turbulence (perceived effectiveness of privacy policy) interact and combine in leading to voice assistant (VA) users' intention to reveal or conceal their privacy information.Design/methodology/approachA questionnaire was designed and distributed to car drivers who have intelligent VA use experience while driving. A total of 230 valid responses were collected. The fuzzy-set qualitative comparative analysis (fsQCA) approach was used to analyse the data.FindingsVia configuration analysis with fsQCA, five equivalent configurations leading to the high intention of disclosing privacy information, and one configuration leading to the intention of concealing privacy information were identified. Four theoretical configurational propositions were proposed. Moreover, the theoretical and practical implications of the findings are discussed.Originality/valueThis study offers some insightful implications in the field of private information communication in artificial intelligence applications as well as practical implications for intelligent VA application design. The findings provide empirical evidence of privacy communication management in the context of smart VA usage.

Consumer engagement with AI‐powered voice assistants: A behavioral reasoning perspective

“…Even though Kim et al (2019) identified factors influencing the willingness to provide privacy information, they did not include the effect of attitude on willingness to provide personal information. Shortly thereafter, Cao and Wang (2022) called for research investigating other potential drivers (except privacy concerns) that could impact information disclosure but excluded privacy concerns. However, both attitudes towards using voice assistants and willingness to provide personal information were examined in this study and found to have a significant positive effect on engagement with using voice assistants.…”

Pengungkapan Diri dalam Perseteruan Youtuber Kembar Tasya Farasya dan Tasyi Athasyia

“…Dalam konteks sosial media, Nemec Zlatolas et al (2019) menjelaskan bahwa berdasarkan teori CPM, pengguna sosial media harus dapat mengontrol siapa yang dapat mengakses informasi yang mereka bagikan; dengan demikian, hal tersebut akan memengaruhi cara mereka mengungkapkan diri di platform sosial media. Cao & Wang (2022) mengeksplorasi bagaimana kriteria jenis kelamin dan usia, kriteria motivasi (locatability), kriteria rasio manfaat-risiko (persepsi manfaat dari pengungkapan informasi privasi dan masalah privasi), kriteria kontekstual (pengalaman privasi) dan koordinasi batas serta turbulensi (persepsi efektivitas kebijakan privasi) berinteraksi dan bergabung dalam mengarah ke niat pengguna untuk mengungkapkan atau menyembunyikan informasi privasi mereka. Laitinen & Sivunen (2020) menjelaskan pada platform media sosial perusahaan terdapat tiga dimensi, yakni pribadi, teknologi, dan organisasi, membentuk model yang memungkinkan dan membatasi keputusan karyawan untuk berbagi informasi di media sosial perusahaan dimana batasan privasi pribadi, batasan profesional dan asumsi risiko, masalah keamanan online menentukan keputusan berbagi informasi.…”

Voice-activated personal assistants and privacy concerns: a Twitter analysis

“…Information privacy, defined as the control that individuals have over their personal data (Westin, 1967;Campbell, 1997), has been primarily studied in the context of direct marketing rather than online channels (Cao & Wang, 2022). However, the interactive nature of the Internet increases privacy risks (Malhotra et al, 2004;Sheehan & Hoy, 2000).…”

“…The advent of AI, particularly Voice-Activated Personal Assistants (VAPAs), has further complicated privacy issues. These devices rely on extensive personal and contextual data to function (Cao & Wang, 2022). Massara (2021) noted that two-thirds of Europeans are concerned about the lack of information control.…”

“…One of the most important and recent concerns regarding the use of VAPAs is the increasing preoccupation with the use of personal data and privacy protection policies (Cao & Wang, 2022;Massara, 2021). These concerns are further exacerbated by notable incidents of misuse of personal data by major VAPA providers.…”