000117614 001__ 117614
000117614 005__ 20240416132814.0
000117614 0247_ $$2doi$$a10.1016/j.elerap.2022.101146
000117614 0248_ $$2sideral$$a129067
000117614 037__ $$aART-2022-129067
000117614 041__ $$aeng
000117614 100__ $$0(orcid)0009-0000-1853-2687$$aLavado-Nalvaiz, N.
000117614 245__ $$aThe role of the humanisation of smart home speakers in the personalisation–privacy paradox
000117614 260__ $$c2022
000117614 5060_ $$aAccess copy available to the general public$$fUnrestricted
000117614 5203_ $$aThis article examines the personalisation–privacy paradox through the privacy calculus lens in the context of smart home speakers. It also considers the direct and moderating role of humanisation in the personalisation–privacy paradox. This characteristic refers to how human the device is perceived to be, given its voice''s tone and pacing, original responses, sense of humour, and recommendations. The model was tested on a sample of 360 users of different brands of smart home speakers. These users were heterogeneous in terms of age, gender, income, and frequency of use of the device. The results confirm the personalisation–privacy paradox and verify uncanny valley theory, finding the U-shaped effect that humanisation has on risks of information disclosure. They also show that humanisation increases benefits, which supports the realism maximisation theory. Specifically, they reveal that users will perceive the messages received as more useful and credible if the devices seem human. However, the human-likeness of these devices should not exceed certain levels as it increases perceived risk. These results should be used to highlight the importance of the human-like communication of smart home speakers. © 2022 The Authors
000117614 536__ $$9info:eu-repo/grantAgreement/ES/DGA/S54-20R-GENERES Group$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-114874GB-I00
000117614 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000117614 590__ $$a6.0$$b2022
000117614 592__ $$a1.307$$b2022
000117614 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b33 / 158 = 0.209$$c2022$$dQ1$$eT1
000117614 593__ $$aComputer Networks and Communications$$c2022$$dQ1
000117614 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b26 / 110 = 0.236$$c2022$$dQ1$$eT1
000117614 593__ $$aMarketing$$c2022$$dQ1
000117614 591__ $$aBUSINESS$$b54 / 154 = 0.351$$c2022$$dQ2$$eT2
000117614 593__ $$aManagement of Technology and Innovation$$c2022$$dQ1
000117614 593__ $$aComputer Science Applications$$c2022$$dQ1
000117614 594__ $$a10.1$$b2022
000117614 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000117614 700__ $$0(orcid)0000-0002-8798-3294$$aLucia-Palacios, L.$$uUniversidad de Zaragoza
000117614 700__ $$0(orcid)0000-0001-6441-2504$$aPérez-López, R.$$uUniversidad de Zaragoza
000117614 7102_ $$14011$$2095$$aUniversidad de Zaragoza$$bDpto. Direc.Mark.Inves.Mercad.$$cÁrea Comerci.Investig.Mercados
000117614 773__ $$g53 (2022), 101146 [11 pp]$$pElectronic Commerce Research and Applications$$tElectronic Commerce Research and Applications$$x1567-4223
000117614 8564_ $$s1165003$$uhttps://zaguan.unizar.es/record/117614/files/texto_completo.pdf$$yVersión publicada
000117614 8564_ $$s2608403$$uhttps://zaguan.unizar.es/record/117614/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000117614 909CO $$ooai:zaguan.unizar.es:117614$$particulos$$pdriver
000117614 951__ $$a2024-04-16-13:21:45
000117614 980__ $$aARTICLE