{"id":55,"date":"2016-11-18T21:59:02","date_gmt":"2016-11-18T21:59:02","guid":{"rendered":"http:\/\/wp.lancs.ac.uk\/cyberpsy-projects\/?page_id=55"},"modified":"2016-11-18T21:59:02","modified_gmt":"2016-11-18T21:59:02","slug":"dealing-with-phishing-emails-effects-of-response-inhibition","status":"publish","type":"page","link":"http:\/\/wp.lancs.ac.uk\/cyberpsy-projects\/dealing-with-phishing-emails-effects-of-response-inhibition\/","title":{"rendered":"Dealing with phishing emails: Effects of response inhibition"},"content":{"rendered":"<p>Dealing with phishing emails: Effects of response inhibition on email decision-making<\/p>\n<p>Channa-Blue Scott. 2016<\/p>\n<p>Abstract<\/p>\n<p>This experiment aimed to investigate the effects of response inhibition on email decision-making. Current perspectives suggest email decision-making operates via a similar framework to gambling decisions in encapsulating decisions in terms of low and high risk, particularly with regards to the phishing emails on which this study focuses. Previous research showed a stop-signal training task had an inhibitory effect on later performance in a gambling task, causing participants to make lower-risk betting decisions (Verbruggen, Adams, &amp; Chambers, 2012). Speeded responses have been shown to lead to more errors in email decision-making, quantified as failure to identify phishing emails. Two forms of response inhibition were administered to assess these effects on email decision-making: stop-signal training and forced response delay. Research predicted both singular and combined effects of these interventions on email decision-making. 20 students participated in a three-phase experiment constituting two email decision tasks with an intermediate stop-signal training stage. Responses were scored for legitimate and phishing emails based on low to high risk. Primary analysis concerned phishing scores as most relevant to assessment of risky decisions. A mixed-factor ANOVA found no effect of forced response delay on email decision-making. No combined effect of stop-signal training and forced response delay on phishing scores was observed. Independent samples t-test analysis revealed a significant effect of stop-signal training on phishing scores, with participants who had undergone stop-signal training making lower-risk decisions than those who had not. This mirrored results of Verbruggen et al. (2012) in successfully generalising cautious responding to later task performance.   <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dealing with phishing emails: Effects of response inhibition on email decision-making Channa-Blue Scott. 2016 Abstract This experiment aimed to investigate the effects of response inhibition&#8230;<\/p>\n","protected":false},"author":620,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-55","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/wp.lancs.ac.uk\/cyberpsy-projects\/wp-json\/wp\/v2\/pages\/55","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/wp.lancs.ac.uk\/cyberpsy-projects\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/wp.lancs.ac.uk\/cyberpsy-projects\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/wp.lancs.ac.uk\/cyberpsy-projects\/wp-json\/wp\/v2\/users\/620"}],"replies":[{"embeddable":true,"href":"http:\/\/wp.lancs.ac.uk\/cyberpsy-projects\/wp-json\/wp\/v2\/comments?post=55"}],"version-history":[{"count":1,"href":"http:\/\/wp.lancs.ac.uk\/cyberpsy-projects\/wp-json\/wp\/v2\/pages\/55\/revisions"}],"predecessor-version":[{"id":56,"href":"http:\/\/wp.lancs.ac.uk\/cyberpsy-projects\/wp-json\/wp\/v2\/pages\/55\/revisions\/56"}],"wp:attachment":[{"href":"http:\/\/wp.lancs.ac.uk\/cyberpsy-projects\/wp-json\/wp\/v2\/media?parent=55"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}