0000000000639529

AUTHOR

Darius-aurel Frank

0000-0002-1577-7352

showing 2 related works from this author

Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample

2022

The study of moral judgements often centres on moral dilemmas in which options consistent with deontological perspectives (that is, emphasizing rules, individual rights and duties) are in conflict with options consistent with utilitarian judgements (that is, following the greater good based on consequences). Greene et al. (2009) showed that psychological and situational factors (for example, the intent of the agent or the presence of physical contact between the agent and the victim) can play an important role in moral dilemma judgements (for example, the trolley problem). Our knowledge is limited concerning both the universality of these effects outside the United States and the impact of …

trolleySituational factorsSDG 16 - PeaceSocial PsychologyIndividualityBFExperimental and Cognitive PsychologyIntentionEasternHMpsychologyMoralsSocial Developmenttrolley dilemmaBehavioral NeuroscienceJudgmentddc:150replicabilitycultural universalityHumansPsychologyPendienteSHAMECONFLICTBehaviour Change and Well-beingphilosophySDG 16 - Peace Justice and Strong Institutionsmoral judgementSDG 10 - Reduced Inequalities/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutionsJustice and Strong InstitutionsMODELNORMSKnowledgePROCESS DISSOCIATION/dk/atira/pure/sustainabledevelopmentgoals/reduced_inequalitiesmoral judgementsUTILITARIAN JUDGMENTSSettore M-PSI/05 - Psicologia SocialeMoral judgments ; Trolley dilemma ; cultural universality and variations ; replication studyRESPONSES
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Drivers and Social Implications of Artificial Intelligence Adoption in Healthcare during the COVID-19 Pandemic

2021

The COVID-19 pandemic continues to impact people worldwide–steadily depleting scarce resources in healthcare. Medical Artificial Intelligence (AI) promises a much-needed relief but only if the technology gets adopted at scale. The present research investigates people’s intention to adopt medical AI as well as the drivers of this adoption in a representative study of two European countries (Denmark and France,N= 1068) during the initial phase of the COVID-19 pandemic. Results reveal AI aversion; only 1 of 10 individuals choose medical AI over human physicians in a hypothetical triage-phase of COVID-19 pre-hospital entrance. Key predictors of medical AI adoption are people’s trust in medical …

MaleViral DiseasesEpidemiologyHealth Care ProvidersDenmarkSELF-ESTEEMIntelligenceSocial SciencesmedicalGeographical locationsCovidMedical ConditionsPandemicHealth careMedicine and Health SciencesPsychologyMedical Personneladoptionmedia_commonMultidisciplinaryQRhealthcareCovid19healthdriversMiddle Aged[SHS.ECO]Humanities and Social Sciences/Economics and FinanceTelemedicinedoctorEuropeProfessionsInfectious DiseasesdataScale (social sciences)HumanityArtificialTraitMedicineFemaleFrancePsychologyCovid-19Research ArticlePersonalityAdultComputer and Information Sciencesmedia_common.quotation_subjectScienceMEDLINENeglectScarcityPSYCHOLOGYPEOPLEArtificial IntelligencePhysiciansHumansEuropean UnionPandemicsAgedPersonality Traitsbusiness.industrypandemicBiology and Life SciencesCovid 19socialimplicationsHealth CareAttitudeSocioeconomic FactorsAIPeople and PlacesPopulation GroupingsArtificial intelligencebusiness
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