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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4719
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dc.contributor.authorPugnetti, Carlo-
dc.contributor.authorSchläpfer, Remo-
dc.date.accessioned2018-09-27T12:38:12Z-
dc.date.available2018-09-27T12:38:12Z-
dc.date.issued2018-
dc.identifier.issn1911-8066de_CH
dc.identifier.issn1911-8074de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/11155-
dc.description.abstractThe development of self-driving vehicles is proceeding rapidly and with significant investment of resources. However, a full-scale deployment is not imminent. Among the challenges self-driving vehicles are facing, they will have to navigate complex ethical challenges. The algorithms governing their behavior will have to decide how to steer them in situations where accidents cannot be avoided. In some of these situations they will have to decide which of several potential parties to injure in the process. We investigate the preferences of Swiss customers for this decision by forcing a selection between simplified scenarios where a given number of car passengers or a given number of pedestrians will be killed in the accident. Both passengers and pedestrians can be adults or children. The passengers are explicitly identified as the respondent themselves and their family. While children are implicitly valued higher than adults, Swiss customers value passengers and pedestrians implicitly roughly equally, and assign increasingly higher marginal values to additional people, both passengers and pedestrians. These results seem to partially contradict similar studies conducted in other countries and recent statements by automotive companies, potentially indicating the need to adapt both corporate communications and steering algorithms in different geographies.de_CH
dc.language.isoende_CH
dc.publisherMDPIde_CH
dc.relation.ispartofJournal of Risk and Financial Managementde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectSelf-driving vehiclede_CH
dc.subjectAutonomous vehiclede_CH
dc.subjectAccident scenariosde_CH
dc.subject.ddc620: Ingenieurwesende_CH
dc.titleCustomer preferences and implicit tradeoffs in accident scenarios for self-driving vehicle algorithmsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitInstitut für Risk & Insurance (IRI)de_CH
dc.identifier.doi10.21256/zhaw-4719-
dc.identifier.doi10.3390/jrfm11020028de_CH
zhaw.funding.euNode_CH
zhaw.issue2de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end41de_CH
zhaw.pages.start28de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume11de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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Pugnetti, C., & Schläpfer, R. (2018). Customer preferences and implicit tradeoffs in accident scenarios for self-driving vehicle algorithms. Journal of Risk and Financial Management, 11(2), 28–41. https://doi.org/10.21256/zhaw-4719
Pugnetti, C. and Schläpfer, R. (2018) ‘Customer preferences and implicit tradeoffs in accident scenarios for self-driving vehicle algorithms’, Journal of Risk and Financial Management, 11(2), pp. 28–41. Available at: https://doi.org/10.21256/zhaw-4719.
C. Pugnetti and R. Schläpfer, “Customer preferences and implicit tradeoffs in accident scenarios for self-driving vehicle algorithms,” Journal of Risk and Financial Management, vol. 11, no. 2, pp. 28–41, 2018, doi: 10.21256/zhaw-4719.
PUGNETTI, Carlo und Remo SCHLÄPFER, 2018. Customer preferences and implicit tradeoffs in accident scenarios for self-driving vehicle algorithms. Journal of Risk and Financial Management. 2018. Bd. 11, Nr. 2, S. 28–41. DOI 10.21256/zhaw-4719
Pugnetti, Carlo, and Remo Schläpfer. 2018. “Customer Preferences and Implicit Tradeoffs in Accident Scenarios for Self-Driving Vehicle Algorithms.” Journal of Risk and Financial Management 11 (2): 28–41. https://doi.org/10.21256/zhaw-4719.
Pugnetti, Carlo, and Remo Schläpfer. “Customer Preferences and Implicit Tradeoffs in Accident Scenarios for Self-Driving Vehicle Algorithms.” Journal of Risk and Financial Management, vol. 11, no. 2, 2018, pp. 28–41, https://doi.org/10.21256/zhaw-4719.


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