117614 20240416132814.0 doi 10.1016/j.elerap.2022.101146 sideral 129067 ART-2022-129067 eng Lavado-Nalvaiz, N. (orcid)0009-0000-1853-2687 The role of the humanisation of smart home speakers in the personalisation–privacy paradox 2022 Access copy available to the general public Unrestricted This article examines the personalisation–privacy paradox through the privacy calculus lens in the context of smart home speakers. It also considers the direct and moderating role of humanisation in the personalisation–privacy paradox. This characteristic refers to how human the device is perceived to be, given its voice''s tone and pacing, original responses, sense of humour, and recommendations. The model was tested on a sample of 360 users of different brands of smart home speakers. These users were heterogeneous in terms of age, gender, income, and frequency of use of the device. The results confirm the personalisation–privacy paradox and verify uncanny valley theory, finding the U-shaped effect that humanisation has on risks of information disclosure. They also show that humanisation increases benefits, which supports the realism maximisation theory. Specifically, they reveal that users will perceive the messages received as more useful and credible if the devices seem human. However, the human-likeness of these devices should not exceed certain levels as it increases perceived risk. These results should be used to highlight the importance of the human-like communication of smart home speakers. © 2022 The Authors info:eu-repo/grantAgreement/ES/DGA/S54-20R-GENERES Group info:eu-repo/grantAgreement/ES/MICINN/PID2020-114874GB-I00 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 6.0 2022 COMPUTER SCIENCE, INFORMATION SYSTEMS 33 / 158 = 0.209 2022 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 26 / 110 = 0.236 2022 Q1 T1 BUSINESS 54 / 154 = 0.351 2022 Q2 T2 1.307 2022 Computer Networks and Communications 2022 Q1 Marketing 2022 Q1 Management of Technology and Innovation 2022 Q1 Computer Science Applications 2022 Q1 10.1 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Lucia-Palacios, L. Universidad de Zaragoza (orcid)0000-0002-8798-3294 Pérez-López, R. Universidad de Zaragoza (orcid)0000-0001-6441-2504 4011 095 Universidad de Zaragoza Dpto. Direc.Mark.Inves.Mercad. Área Comerci.Investig.Mercados 53 (2022), 101146 [11 pp] Electronic Commerce Research and Applications Electronic Commerce Research and Applications 1567-4223 1165003 http://zaguan.unizar.es/record/117614/files/texto_completo.pdf Versión publicada 2608403 http://zaguan.unizar.es/record/117614/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:117614 articulos driver 2024-04-16-13:21:45 ARTICLE