000132833 001__ 132833
000132833 005__ 20240322114951.0
000132833 0247_ $$2doi$$a10.1016/j.chb.2023.108124
000132833 0248_ $$2sideral$$a137728
000132833 037__ $$aART-2024-137728
000132833 041__ $$aeng
000132833 100__ $$aCalahorra-Candao, Guillermo
000132833 245__ $$aThe effect of anthropomorphism of virtual voice assistants on perceived safety as an antecedent to voice shopping
000132833 260__ $$c2024
000132833 5060_ $$aAccess copy available to the general public$$fUnrestricted
000132833 5203_ $$aThis paper delves into the realm of virtual assistants (VAs) and their pivotal role in shaping user acceptance of voice shopping. VAs, initially tailored for voice interactions on smartphones, have permeated diverse consumer devices, revolutionizing user experience through conversational interfaces. However, the reluctance to embrace voice shopping persists due to safety apprehensions stemming from users' lack of confidence in VAs. The paper centers on anthropomorphism, emphasizing the human-like attributes of VAs, and its direct correlation with users' sense of safety. The study explores user perceptions of VAs in voice shopping, particularly focusing on anthropomorphic aspects like social presence, human-like voice, and friendliness. The investigation highlights their impact on perceived safety, word-of-mouth, and voice shopping acceptance. Analyzing prominent VAs—Alexa, Google Home, and Siri—the study identifies two fundamental factors influencing voice shopping acceptance: the humanity embedded in the VA's voice and the perceived safety it offers. Feeling secure during VA interactions significantly increases safety perception, fostering greater acceptance of VAs for shopping purposes. Additionally, the human-like qualities in the VA's voice positively influence users' perceived friendliness and safety, augmenting trust and overall acceptance of this technology.
000132833 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/S54-GENERES Group$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-118425RB-I00
000132833 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000132833 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000132833 700__ $$0(orcid)0000-0002-8491-594X$$aMartín-de Hoyos, María José$$uUniversidad de Zaragoza
000132833 7102_ $$14011$$2095$$aUniversidad de Zaragoza$$bDpto. Direc.Mark.Inves.Mercad.$$cÁrea Comerci.Investig.Mercados
000132833 773__ $$g153 (2024), 108124 [12 pp.]$$pComput. hum. behav.$$tCOMPUTERS IN HUMAN BEHAVIOR$$x0747-5632
000132833 8564_ $$s551841$$uhttps://zaguan.unizar.es/record/132833/files/texto_completo.pdf$$yPostprint$$zinfo:eu-repo/date/embargoEnd/2025-04-30
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000132833 909CO $$ooai:zaguan.unizar.es:132833$$particulos$$pdriver
000132833 951__ $$a2024-03-22-11:48:13
000132833 980__ $$aARTICLE