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dc.contributor.authorStokoe, Elizabeth
dc.contributor.authorSikveland, Rein Ove
dc.contributor.authorAlbert, Saul
dc.contributor.authorHamann, Magnus
dc.contributor.authorHousley, Will
dc.date.accessioned2021-03-03T11:30:31Z
dc.date.available2021-03-03T11:30:31Z
dc.date.created2020-01-16T14:48:22Z
dc.date.issued2020
dc.identifier.citationDiscourse Studies. 2020, 22 (1), 87-109.en_US
dc.identifier.issn1461-4456
dc.identifier.urihttps://hdl.handle.net/11250/2731365
dc.description.abstractHow authentic are inquiry calls made by simulated clients, or ‘mystery shoppers’, to service organizations, when compared to real callers? We analysed 48 simulated and 63 real inquiry calls to different veterinary practices in the United Kingdom and Ireland. The data were transcribed for conversation analysis, as well as coded for a variety of call categories including reason for the call, call outcome and turn design features. Analysis revealed systematic differences between real and simulated calls in terms of (1) reasons for the call, call outcome and call duration and (2) how callers refer to their pets in service requests and follow-up questions about their animal. Our qualitative analyses were supported with statistical summaries and tests. The findings reveal the limitations of mystery shopper methodology for the assessment of service provision. We also discuss the implications of the findings for the use of simulated encounters and the development of conversational agents.en_US
dc.language.isoengen_US
dc.publisherSAGEen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleCan humans simulate talking like other humans? Comparing simulated clients to real customers in service inquiriesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber87-109en_US
dc.source.volume22en_US
dc.source.journalDiscourse Studiesen_US
dc.source.issue1en_US
dc.identifier.doi10.1177/1461445619887537
dc.identifier.cristin1775035
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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