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Reducing risk to security and privacy in the selection of trigger-action rules: Implicit vs. explicit priming for domestic smart devices

Morgan, Phillip L. (författare)
Luleå tekniska universitet,Hälsa, medicin och rehabilitering,Centre for Artificial Intelligence, Robotics and Human-Machine Systems (IROHMS), Human Factors Excellence Research Group (HuFEx): School of Psychology, Cardiff University, 70 Park Place, Cardiff, CF10 3AT, UK
Collins, Emily I.M. (författare)
Centre for Artificial Intelligence, Robotics and Human-Machine Systems (IROHMS), Human Factors Excellence Research Group (HuFEx): School of Psychology, Cardiff University, 70 Park Place, Cardiff, CF10 3AT, UK
Spiliotopoulos, Tasos (författare)
Newcastle University Business School, 5 Barrack Road, Newcastle upon Tyne, NE1 4SE, UK
visa fler...
Greeno, David J. (författare)
Centre for Artificial Intelligence, Robotics and Human-Machine Systems (IROHMS), Human Factors Excellence Research Group (HuFEx): School of Psychology, Cardiff University, 70 Park Place, Cardiff, CF10 3AT, UK; School of Psychology, Cardiff University, 70 Park Place, Cardiff, CF10 3AT, UK
Jones, Dylan M. (författare)
Centre for Artificial Intelligence, Robotics and Human-Machine Systems (IROHMS), Human Factors Excellence Research Group (HuFEx): School of Psychology, Cardiff University, 70 Park Place, Cardiff, CF10 3AT, UK
visa färre...
 (creator_code:org_t)
Elsevier, 2022
2022
Engelska.
Ingår i: International journal of human-computer studies. - : Elsevier. - 1071-5819 .- 1095-9300. ; 168
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Smart home device usage is increasing, as is the diversity of users and range of devices. Additionally, it is becoming increasingly common to interconnect devices (e.g., via trigger-action rules) which, while bringing benefits, can bring unforeseen security and privacy risks. Developing strategies to protect users as well as understanding what biographical or attitudinal characteristics contribute to these risks is a critical step for ensuring empowered, but safe, interconnected smart device usage. Using narrative descriptions of domestic smart devices, two experiments explored how the prevailing security/privacy contexts—priming conditions—in which 20 trigger-action rules (developed via a Delphi Study) were presented influenced the adoption of rules favoring either security or privacy. Both experiments contrasted three priming conditions: no prime, security prime, privacy prime. Experiment 1 (n=254) used explicit priming, giving direct instruction to maximize a security or privacy outcome while Experiment 2 (n=325) used implicit priming, with an apparently unrelated security or privacy problem-solving puzzle. Across both experiments, priming promoted safer rule adoption, markedly so when explicit. Explicit priming produced an asymmetry however: privacy priming improved privacy scores with security scores unchanged and security primes improved security scores while worsening privacy scores. Across experiments, two dimensions of user attitudes shaped riskier rule choice: perceived benefits of technology and pre-existing trusting beliefs in online companies. Our novel findings reveal that implicit and explicit priming shape safe use of trigger-action rules in domestic settings and that age, perceived trust and perceived benefits should be considered when designing safety messaging.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Engineering (hsv//eng)

Nyckelord

Cyber Security
Susceptibility
Priming
Individual Differences
Trigger-action Rules
Engineering Psychology
Teknisk psykologi

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