{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T21:01:47Z","timestamp":1777669307537,"version":"3.51.4"},"reference-count":48,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2022,5,2]],"date-time":"2022-05-02T00:00:00Z","timestamp":1651449600000},"content-version":"vor","delay-in-days":365,"URL":"http:\/\/www.sagepub.com\/licence-information-for-chorus"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1723765"],"award-info":[{"award-number":["1723765"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Hum Factors"],"published-print":{"date-parts":[[2023,3]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To understand how aspects of vishing calls (phishing phone calls) influence perceived visher honesty.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Little is understood about how targeted individuals behave during vishing attacks. According to truth-default theory, people assume others are being honest until something triggers their suspicion. We investigated whether that was true during vishing attacks.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Twenty-four participants read written descriptions of eight real-world vishing calls. Half included highly sensitive requests; the remainder included seemingly innocuous requests. Participants rated visher honesty at multiple points during conversations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Participants initially perceived vishers to be honest. Honesty ratings decreased before requests occurred. Honesty ratings decreased further in response to highly sensitive requests, but not seemingly innocuous requests. Honesty ratings recovered somewhat, but only after highly sensitive requests.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The present results revealed five important insights: (1) people begin vishing conversations in the truth-default state, (2) certain aspects of vishing conversations serve as triggers, (3) other aspects of vishing conversations do not serve as triggers, (4) in certain situations, people\u2019s perceptions of visher honesty improve, and, more generally, (5) truth-default theory may be a useful tool for understanding how targeted individuals behave during vishing attacks.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Application<\/jats:title>\n                    <jats:p>Those developing systems that help users deal with suspected vishing attacks or penetration testing plans should consider (1) targeted individuals\u2019 truth-bias, (2) the influence of visher demeanor on the likelihood of deception detection, (3) the influence of fabricated situations surrounding vishing requests on the likelihood of deception detection, and (4) targeted individuals\u2019 lack of concern about seemingly innocuous requests.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/00187208211012818","type":"journal-article","created":{"date-parts":[[2021,5,2]],"date-time":"2021-05-02T23:23:21Z","timestamp":1619997801000},"page":"275-287","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["How Perceptions of Caller Honesty Vary During Vishing Attacks That Include Highly Sensitive or Seemingly Innocuous Requests"],"prefix":"10.1177","volume":"65","author":[{"given":"Miriam E.","family":"Armstrong","sequence":"first","affiliation":[{"name":"Texas Tech University, Lubbock, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3463-0401","authenticated-orcid":false,"given":"Keith S.","family":"Jones","sequence":"additional","affiliation":[{"name":"Texas Tech University, Lubbock, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akbar Siami","family":"Namin","sequence":"additional","affiliation":[{"name":"Texas Tech University, Lubbock, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2021,5,2]]},"reference":[{"key":"bibr1-00187208211012818","unstructured":"Baryshevtsev M. V. (2020).\n                      Sharing is not caring: News features predict false news detection and diffusion\n                      [Unpublished Doctoral dissertation]."},{"key":"bibr2-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1080\/01973533.2013.764302"},{"key":"bibr3-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1002\/jip.1482"},{"key":"bibr4-00187208211012818","author":"Butavicius M.","year":"2016","journal-title":"arXiv preprint arXiv:1606.00887"},{"key":"bibr5-00187208211012818","doi-asserted-by":"publisher","DOI":"10.3844\/jssp.2007.106.116"},{"key":"bibr6-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1093\/hcr\/hqz001"},{"key":"bibr7-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.70.5.979"},{"key":"bibr8-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1145\/1143120.1143131"},{"key":"bibr9-00187208211012818","unstructured":"FBI, & IC3. (2019). 2018 Internet crime report. https:\/\/pdf.ic3.gov\/2018_IC3Report.pdf"},{"key":"bibr10-00187208211012818","volume-title":"[Conference session]. International Communication Association Annual Conference","author":"Feeley T.","year":"1997"},{"key":"bibr11-00187208211012818","unstructured":"FTC. (2019). Consumer sentinel network data book for january-december 2018. https:\/\/www.ftc.gov\/reports\/consumer-sentinel-network-data-book-2018"},{"key":"bibr12-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1016\/S1361-3723(07)70035-0"},{"key":"bibr13-00187208211012818","unstructured":"Get Safe Online. (2015a, August 26).\n                      Reconstruction of actual vishing call to a small business - Alfie Johnson\n                      . YouTube. https:\/\/www.youtube.com\/watch?v=IyzP1PIch8Y&list=PLT2O8mGYzrBOke-krvY2h9T0MPjpuxiWH&index=3"},{"key":"bibr14-00187208211012818","unstructured":"Get Safe Online. (2015b, August 26).\n                      Reconstruction of actual vishing call to a small business - Archie Hicks\n                      . YouTube. https:\/\/www.youtube.com\/watch?v=lwc9iU2MidQ&list=PLT2O8mGYzrBOke-krvY2h9T0MPjpuxiWH"},{"key":"bibr15-00187208211012818","unstructured":"Get Safe Online. (2015c, August 26).\n                      Reconstruction of actual vishing call to a small business - Harwood Estates\n                      . YouTube. https:\/\/www.youtube.com\/watch?v=MIgSM-7miVM&list=PLT2O8mGYzrBOke-krvY2h9T0MPjpuxiWH&index=2"},{"key":"bibr16-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1080\/00223980109603723"},{"key":"bibr17-00187208211012818","doi-asserted-by":"publisher","DOI":"10.14722\/usec.2018.23016"},{"key":"bibr18-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1145\/1456625.1456635"},{"key":"bibr19-00187208211012818","volume-title":"Social engineering: The art of human hacking","author":"Hadnagy C","year":"2010"},{"key":"bibr20-00187208211012818","doi-asserted-by":"publisher","DOI":"10.2466\/pr0.1974.34.3c.1095"},{"key":"bibr21-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2616285"},{"key":"bibr22-00187208211012818","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2013.00863"},{"key":"bibr23-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1016\/j.apergo.2020.103084"},{"key":"bibr27-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1177\/2372732214548863"},{"key":"bibr28-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1177\/0261927X14535916"},{"key":"bibr29-00187208211012818","volume-title":"Duped: Truth-default theory and the social science of lying and deception","author":"Levine T. 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(2019).\n                      State of the phish: 2019 report\n                      (Technical Report). https:\/\/info.wombatsecurity.com\/hubfs\/Wombat_Proofpoint_2019%20State%20of%20the%20Phish%20Report_Final.pdf"},{"key":"bibr41-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1177\/0018720818780472"},{"key":"bibr42-00187208211012818","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2015.01312"},{"key":"bibr43-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-2958.2009.01366.x"},{"key":"bibr44-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1016\/j.jarmac.2015.06.002"},{"key":"bibr36-00187208211012818","doi-asserted-by":"publisher","DOI":"10.1080\/03637750128059"},{"key":"bibr45-00187208211012818","volume-title":"Using multivariate statistics","volume":"5","author":"Tabachnick B. 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