{"id":{"repo_id":"gsu","oai_identifier":"oai:digitalcommons.georgiasouthern.edu:etd-1037"},"canonical_url":"https://search.dev.ndltd.org/etd/gsu/oai:digitalcommons.georgiasouthern.edu:etd-1037","repository":{"repo_id":"gsu","name":"Georgia Southern University","base_url":"https://digitalcommons.georgiasouthern.edu/do/oai/"},"display":{"title":"Does the Presence of a Non-Coincident Visual Spatial Pattern Facilitate Spatial Pattern Learning? Implications for a Dedicated Spatial Pattern Learning System","abstract":"<p>Spatial pattern learning is defined as an ability to learn spatial relationships of objects in space without the use of discrete visual landmarks or environmental geometry (Brown & Terrinoni, 1996). Spatial pattern learning has been suggested to be a distinct form of learning because it is not affected by cue competition and has been shown to occur in the absence of discrete landmarks and environmental geometry (Brown, Yang, & DiGian, 2002; Sturz Brown, & Kelly, 2009). In the proposed study, the distinctness of spatial pattern learning was investigated. Specifically, human participants searched in an interactive 3-D computer generated virtual environment open-field search task for four unmarked goal locations which were arranged in a diamond configuration located in a 5 x 5 matrix of raised bins. The pattern moved to a random location from trial-to-trial but always maintained the same spatial relations to each other (i.e., diamond pattern). Participants were randomly assigned to either a Visual Pattern group or a Visual Random group in which the visual stimuli (i.e., four red bins) were either arranged in a pattern consistent but not coincident with the unmarked goal locations (Visual Pattern group) or were randomly arranged in the virtual room (Visual Random group). If spatial pattern learning is processed by a distinct learning system that utilizes visual information, then the exposure to the structured visual cues (i.e., red bins) should facilitate spatial pattern learning compared to exposure to random visual cues. Consequently, we found that participants in the Visual Pattern group performed significantly better than those in the Visual Random group. Collectively, results are consistent with an interpretation based upon a spatial learning system dedicated to processing visual pattern information.</p>","abstract_html":"&lt;p&gt;Spatial pattern learning is defined as an ability to learn spatial relationships of objects in space without the use of discrete visual landmarks or environmental geometry (Brown &amp; Terrinoni, 1996). Spatial pattern learning has been suggested to be a distinct form of learning because it is not affected by cue competition and has been shown to occur in the absence of discrete landmarks and environmental geometry (Brown, Yang, &amp; DiGian, 2002; Sturz Brown, &amp; Kelly, 2009). In the proposed study, the distinctness of spatial pattern learning was investigated. Specifically, human participants searched in an interactive 3-D computer generated virtual environment open-field search task for four unmarked goal locations which were arranged in a diamond configuration located in a 5 x 5 matrix of raised bins. The pattern moved to a random location from trial-to-trial but always maintained the same spatial relations to each other (i.e., diamond pattern). Participants were randomly assigned to either a Visual Pattern group or a Visual Random group in which the visual stimuli (i.e., four red bins) were either arranged in a pattern consistent but not coincident with the unmarked goal locations (Visual Pattern group) or were randomly arranged in the virtual room (Visual Random group). If spatial pattern learning is processed by a distinct learning system that utilizes visual information, then the exposure to the structured visual cues (i.e., red bins) should facilitate spatial pattern learning compared to exposure to random visual cues. Consequently, we found that participants in the Visual Pattern group performed significantly better than those in the Visual Random group. Collectively, results are consistent with an interpretation based upon a spatial learning system dedicated to processing visual pattern information.&lt;/p&gt;","abstract_has_math":false,"creators":["Katz, Scott"],"institution":null,"degree_name":"Master of Science in Experimental Psychology (M.S.)","degree_level":"Thesis (open access)","degree_discipline":"Department of Psychology","degree_department":null,"school":null,"contributors":["Kent Bodily","Lawrence Locker"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-04-01T07:00:00Z","date_published":"2013-04-01T07:00:00Z","updated_at":"2026-07-24T02:26:17Z","subjects":["ETD","Spatial pattern learning","Virtual environment","Psychology"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.georgiasouthern.edu/etd/37","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kent Bodily","Lawrence Locker"]},{"key":"dc:creator","label":"Author","values":["Katz, Scott"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2013-07-22T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Department of Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis (open access)"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Experimental Psychology (M.S.)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["ETD","Spatial pattern learning","Virtual environment","Psychology"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.georgiasouthern.edu/etd/37"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Spatial pattern learning is defined as an ability to learn spatial relationships of objects in space without the use of discrete visual landmarks or environmental geometry (Brown & Terrinoni, 1996). Spatial pattern learning has been suggested to be a distinct form of learning because it is not affected by cue competition and has been shown to occur in the absence of discrete landmarks and environmental geometry (Brown, Yang, & DiGian, 2002; Sturz Brown, & Kelly, 2009). In the proposed study, the distinctness of spatial pattern learning was investigated. Specifically, human participants searched in an interactive 3-D computer generated virtual environment open-field search task for four unmarked goal locations which were arranged in a diamond configuration located in a 5 x 5 matrix of raised bins. The pattern moved to a random location from trial-to-trial but always maintained the same spatial relations to each other (i.e., diamond pattern). Participants were randomly assigned to either a Visual Pattern group or a Visual Random group in which the visual stimuli (i.e., four red bins) were either arranged in a pattern consistent but not coincident with the unmarked goal locations (Visual Pattern group) or were randomly arranged in the virtual room (Visual Random group). If spatial pattern learning is processed by a distinct learning system that utilizes visual information, then the exposure to the structured visual cues (i.e., red bins) should facilitate spatial pattern learning compared to exposure to random visual cues. Consequently, we found that participants in the Visual Pattern group performed significantly better than those in the Visual Random group. Collectively, results are consistent with an interpretation based upon a spatial learning system dedicated to processing visual pattern information.</p>"]},{"key":"dc:title","label":"Title","values":["Does the Presence of a Non-Coincident Visual Spatial Pattern Facilitate Spatial Pattern Learning? Implications for a Dedicated Spatial Pattern Learning System"]}]}],"canonical_facts":{"dc:contributor":["Kent Bodily","Lawrence Locker"],"dc:creator":["Katz, Scott"],"dc:date.available":["2013-07-22T07:00:00Z"],"dc:description.abstract":["<p>Spatial pattern learning is defined as an ability to learn spatial relationships of objects in space without the use of discrete visual landmarks or environmental geometry (Brown & Terrinoni, 1996). Spatial pattern learning has been suggested to be a distinct form of learning because it is not affected by cue competition and has been shown to occur in the absence of discrete landmarks and environmental geometry (Brown, Yang, & DiGian, 2002; Sturz Brown, & Kelly, 2009). In the proposed study, the distinctness of spatial pattern learning was investigated. Specifically, human participants searched in an interactive 3-D computer generated virtual environment open-field search task for four unmarked goal locations which were arranged in a diamond configuration located in a 5 x 5 matrix of raised bins. The pattern moved to a random location from trial-to-trial but always maintained the same spatial relations to each other (i.e., diamond pattern). Participants were randomly assigned to either a Visual Pattern group or a Visual Random group in which the visual stimuli (i.e., four red bins) were either arranged in a pattern consistent but not coincident with the unmarked goal locations (Visual Pattern group) or were randomly arranged in the virtual room (Visual Random group). If spatial pattern learning is processed by a distinct learning system that utilizes visual information, then the exposure to the structured visual cues (i.e., red bins) should facilitate spatial pattern learning compared to exposure to random visual cues. Consequently, we found that participants in the Visual Pattern group performed significantly better than those in the Visual Random group. Collectively, results are consistent with an interpretation based upon a spatial learning system dedicated to processing visual pattern information.</p>"],"dc:identifier":["https://digitalcommons.georgiasouthern.edu/etd/37"],"dc:subject":["ETD","Spatial pattern learning","Virtual environment","Psychology"],"dc:title":["Does the Presence of a Non-Coincident Visual Spatial Pattern Facilitate Spatial Pattern Learning? Implications for a Dedicated Spatial Pattern Learning System"],"thesis:degree_discipline":["Department of Psychology"],"thesis:degree_level":["Thesis (open access)"],"thesis:degree_name":["Master of Science in Experimental Psychology (M.S.)"]},"updated_at":"2026-07-24T02:26:17Z"}