‘There are some things that I would never ask Alexa’ – privacy work, contextual integrity, and smart speaker assistants

Brause, Saba Rebecca; Blank, Grant

doi:10.1080/1369118x.2023.2193241

Information, Communication & Society

2023

DOI: 10.1080/1369118x.2023.2193241

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‘There are some things that I would never ask Alexa’ – privacy work, contextual integrity, and smart speaker assistants

Saba Rebecca Brause

Grant Blank

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Cited by 3 publications

References 25 publications

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Privacy? What’s that? Differences in privacy boundaries

Heinrich,

Gerhart

2024

OIR

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PurposeWhile research on privacy concerns is rich in understanding and depth, there is still not a clear understanding of why people express having privacy concerns, but do not behave consistently with their concern. We propose that this misalignment derives from a diverse set of privacy boundaries, depending on the user. This research builds on prior Communication Privacy Management Theory research to further define individual privacy boundaries. Beyond that, we evaluate the relationship between the privacy boundaries people set, and their ability to protect themselves.Design/methodology/approachA survey was conducted to assess how private individuals find twenty items. Along with measuring the sensitivity of information, we collected responses on the Online Privacy Information Literacy test to measure differences in sensitivity based on privacy knowledge. 285 participant’s responses were evaluated using exploratory factor analysis and K-means clustering.FindingsWe identify five different groups of privacy indicators. Our findings also suggest that users have limited understanding of how to keep data private, even if they have high privacy concerns.Originality/valueWe contribute to theory by offering guidance on how to better apply theoretical understanding, based on our results. More explicitly, we offer analysis that suggests boundary conditions might be absent from current theoretical understanding. Practically, we offer guidance for understanding privacy differences, which is important to understanding how to implement privacy protection laws.

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Privacy? What’s that? Differences in privacy boundaries

Heinrich,

Gerhart

2024

OIR

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Computation Cost-Driven Offloading Strategy Based on Reinforcement Learning for Consumer Devices

Zhang,

Xia,

Chen

et al. 2024

IEEE Trans. Consumer Electron.

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Wieso eigentlich Alexa?

Strüver

2023

kommges

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In diesem Artikel wird der Sprachassistent Alexa vor dem Hintergrund des Plattformökosystems Amazons untersucht. Hierzu werden Elemente der Plattform- und Infrastrukturtheorie verwendet, um die Rolle des Assistenten in Relation zu den anderen Plattformen der Firma zu konzeptualisieren. Diese Betrachtung ermöglicht es Alexa zum einen als Daten-, Entwicklungs- und Testinfrastruktur von Künstlicher Intelligenz für Amazon und zum anderen als Komfort-Infrastruktur für Nutzer:innen zu betrachten. Um das Wechselverhältnis dieser beiden Rollen nachzuvollziehen, wird ein iteratives Modell entwickelt, welches den Entwicklungsprozess von Alexa als Technologiekomplex nachvollzieht. Die Erkenntnisse, die in der Genese dieses Modells gewonnen werden können, eignen sich dazu den Sprachassistenten als Plattform und Infrastruktur im Plattformökosystem Amazons zu situieren und herauszuarbeiten, welchen Nutzen der Assistent für Amazon haben kann. Dieses letzte Argument trägt zur Weiterentwicklung des theoretischen Instrumentariums zur Betrachtung von Plattformen bei, als dass es diese als wandelbare relationale Infrastrukturen in einem Plattformökosystem begreift, deren Rollen sich im Laufe der kontinuierlichen Entwicklung verändert.

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‘There are some things that I would never ask Alexa’ – privacy work, contextual integrity, and smart speaker assistants

Cited by 3 publications

References 25 publications

Privacy? What’s that? Differences in privacy boundaries

Privacy? What’s that? Differences in privacy boundaries

Computation Cost-Driven Offloading Strategy Based on Reinforcement Learning for Consumer Devices

Wieso eigentlich Alexa?

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