Past literature has found a link between gender and accuracy of route recall in traditional paper maps using landmarks. Research also suggests that what is already known about wayfinding behavior in the physical world can be applied to computer-generated environments. The goal of this study is to merge these two conclusions to determine if gender and route recall differences remain constant for global, electronic maps. Analysis of gender by accuracy as measured by number of trials showed that males required fewer trials (M = 3.63) than females (M = 4.09), F (1,99) = 7.29, p < .05 and accuracy as measured by number of errors in trial 1 also showed that males had fewer errors (M = 3.33) than females (M = 4.09), F (1,99) = 5.79, p < .05. Analysis of landmarks by accuracy as measured by number of trials showed participants viewing Landmark High Maps required fewer trials (M = 3.64) than those viewing Landmark Low Maps (M = 4.12), F (1,99) = 7.68, p < .05. Accuracy as measured by number of errors in trial 1 showed participants viewing Landmark High Maps had fewer errors in trial 1 (M = 3.16) than those viewing Landmark Low Maps (M = 4.33), F (1,99) = 11.87.
","abstract_html":"<p>Past literature has found a link between gender and accuracy of route recall in traditional paper maps using landmarks. Research also suggests that what is already known about wayfinding behavior in the physical world can be applied to computer-generated environments. The goal of this study is to merge these two conclusions to determine if gender and route recall differences remain constant for global, electronic maps. Analysis of gender by accuracy as measured by number of trials showed that males required fewer trials (M = 3.63) than females (M = 4.09), F (1,99) = 7.29, p < .05 and accuracy as measured by number of errors in trial 1 also showed that males had fewer errors (M = 3.33) than females (M = 4.09), F (1,99) = 5.79, p < .05. Analysis of landmarks by accuracy as measured by number of trials showed participants viewing Landmark High Maps required fewer trials (M = 3.64) than those viewing Landmark Low Maps (M = 4.12), F (1,99) = 7.68, p < .05. Accuracy as measured by number of errors in trial 1 showed participants viewing Landmark High Maps had fewer errors in trial 1 (M = 3.16) than those viewing Landmark Low Maps (M = 4.33), F (1,99) = 11.87.</p>","abstract_has_math":false,"creators":["Brantley, Kimberly K."],"institution":null,"degree_name":"Master of Science in Human Factors & Systems","degree_level":"Thesis - Open Access","degree_discipline":"Human Factors and Systems","degree_department":null,"school":null,"contributors":["Christina M. Frederick","Shawn Michael Doherty","Maria Franco"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2003,"date_issued":"2003-12-01T08:00:00Z","date_published":"2003-12-01T08:00:00Z","updated_at":"2026-07-27T19:25:29Z","subjects":["gender","route recall","drivers","maps","landmarks","Applied Behavior Analysis"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/db-theses/17","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Christina M. Frederick","Shawn Michael Doherty","Maria Franco"]},{"key":"dc:creator","label":"Author","values":["Brantley, Kimberly K."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Human Factors and Systems"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Human Factors & Systems"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["gender","route recall","drivers","maps","landmarks","Applied Behavior Analysis"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/db-theses/17"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Past literature has found a link between gender and accuracy of route recall in traditional paper maps using landmarks. Research also suggests that what is already known about wayfinding behavior in the physical world can be applied to computer-generated environments. The goal of this study is to merge these two conclusions to determine if gender and route recall differences remain constant for global, electronic maps. Analysis of gender by accuracy as measured by number of trials showed that males required fewer trials (M = 3.63) than females (M = 4.09), F (1,99) = 7.29, p < .05 and accuracy as measured by number of errors in trial 1 also showed that males had fewer errors (M = 3.33) than females (M = 4.09), F (1,99) = 5.79, p < .05. Analysis of landmarks by accuracy as measured by number of trials showed participants viewing Landmark High Maps required fewer trials (M = 3.64) than those viewing Landmark Low Maps (M = 4.12), F (1,99) = 7.68, p < .05. Accuracy as measured by number of errors in trial 1 showed participants viewing Landmark High Maps had fewer errors in trial 1 (M = 3.16) than those viewing Landmark Low Maps (M = 4.33), F (1,99) = 11.87.
"]},{"key":"dc:title","label":"Title","values":["Gender Differences in Accurate Route Recall in Novice Drivers Using Landmarks in Electronic Maps"]}]}],"canonical_facts":{"dc:contributor":["Christina M. Frederick","Shawn Michael Doherty","Maria Franco"],"dc:creator":["Brantley, Kimberly K."],"dc:description.abstract":["Past literature has found a link between gender and accuracy of route recall in traditional paper maps using landmarks. Research also suggests that what is already known about wayfinding behavior in the physical world can be applied to computer-generated environments. The goal of this study is to merge these two conclusions to determine if gender and route recall differences remain constant for global, electronic maps. Analysis of gender by accuracy as measured by number of trials showed that males required fewer trials (M = 3.63) than females (M = 4.09), F (1,99) = 7.29, p < .05 and accuracy as measured by number of errors in trial 1 also showed that males had fewer errors (M = 3.33) than females (M = 4.09), F (1,99) = 5.79, p < .05. Analysis of landmarks by accuracy as measured by number of trials showed participants viewing Landmark High Maps required fewer trials (M = 3.64) than those viewing Landmark Low Maps (M = 4.12), F (1,99) = 7.68, p < .05. Accuracy as measured by number of errors in trial 1 showed participants viewing Landmark High Maps had fewer errors in trial 1 (M = 3.16) than those viewing Landmark Low Maps (M = 4.33), F (1,99) = 11.87.
"],"dc:identifier":["https://commons.erau.edu/db-theses/17"],"dc:subject":["gender","route recall","drivers","maps","landmarks","Applied Behavior Analysis"],"dc:title":["Gender Differences in Accurate Route Recall in Novice Drivers Using Landmarks in Electronic Maps"],"thesis:degree_discipline":["Human Factors and Systems"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Human Factors & Systems"]},"updated_at":"2026-07-27T19:25:29Z"}