{"id":{"repo_id":"unr","oai_identifier":"oai:scholarwolf.unr.edu:11714/7508"},"canonical_url":"https://search.dev.ndltd.org/etd/unr/oai:scholarwolf.unr.edu:11714/7508","repository":{"repo_id":"unr","name":"University of Nevada - Reno","base_url":"https://scholarwolf.unr.edu/server/oai/request"},"display":{"title":"What Properties Drive Differences in Visual Processing between Real Objects and Images?","abstract":"Recent research has found that real world objects are processed differently than image-based objects due to their affordances or ability to be handled and used a certain way. This study aims to test whether this technology holds the same implications as real-world objects, specifically in regards to visuomotor perception. In addition, the study also aims to support the use of an underlying cognitive mechanism such as dorsal activation outside of lower stereo cues such as shadows as the responsible party for the differences between formats. To test these theories, participants performed in a visuomotor task measuring grip aperture and just noticeable difference with different size stimuli in a real world, image, and object condition. While findings did not suggest any significant differences between real world objects and AR technology, findings do suggest a strong difference from the image condition as well as variability in the condition's adherences to Weber's law.","abstract_html":"Recent research has found that real world objects are processed differently than image-based objects due to their affordances or ability to be handled and used a certain way. This study aims to test whether this technology holds the same implications as real-world objects, specifically in regards to visuomotor perception. In addition, the study also aims to support the use of an underlying cognitive mechanism such as dorsal activation outside of lower stereo cues such as shadows as the responsible party for the differences between formats. To test these theories, participants performed in a visuomotor task measuring grip aperture and just noticeable difference with different size stimuli in a real world, image, and object condition. While findings did not suggest any significant differences between real world objects and AR technology, findings do suggest a strong difference from the image condition as well as variability in the condition&#x27;s adherences to Weber&#x27;s law.","abstract_has_math":false,"creators":["Paiva, Nicole"],"institution":"University of Nevada, Reno","degree_name":"Neuroscience","degree_level":"Honors Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Snow, Jacqueline C."],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-05-01","date_published":"2020-05-01","updated_at":"2026-07-27T21:46:30Z","subjects":[],"languages":["en_US","English"],"rights":["Creative Commons Attribution 4.0 United States"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11714/7508","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Snow, Jacqueline C."]},{"key":"dc:creator","label":"Author","values":["Paiva, Nicole"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2020-07-21T16:46:01Z"]},{"key":"dc:date.issued","label":"Date","values":["2020-05-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Honors Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Neuroscience"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Nevada, Reno"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]},{"key":"dc:rights","label":"Dc Rights","values":["Creative Commons Attribution 4.0 United States"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11714/7508"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The University of Nevada, Reno Libraries will promptly respond to removal requests related to content that violates intellectual property laws, data protections, or has been uploaded without creator consent. Takedown notices should be directed to our ScholarWolf team (scholarwolf@library.unr.edu) with information about the object, including its full URL and the nature of your complaint."]},{"key":"dc:description.abstract","label":"Abstract","values":["Recent research has found that real world objects are processed differently than image-based objects due to their affordances or ability to be handled and used a certain way. This study aims to test whether this technology holds the same implications as real-world objects, specifically in regards to visuomotor perception. In addition, the study also aims to support the use of an underlying cognitive mechanism such as dorsal activation outside of lower stereo cues such as shadows as the responsible party for the differences between formats. To test these theories, participants performed in a visuomotor task measuring grip aperture and just noticeable difference with different size stimuli in a real world, image, and object condition. While findings did not suggest any significant differences between real world objects and AR technology, findings do suggest a strong difference from the image condition as well as variability in the condition's adherences to Weber's law."]},{"key":"dc:format","label":"Dc Format","values":["PDF"]},{"key":"dc:title","label":"Title","values":["What Properties Drive Differences in Visual Processing between Real Objects and Images?"]}]}],"canonical_facts":{"dc:contributor.advisor":["Snow, Jacqueline C."],"dc:creator":["Paiva, Nicole"],"dc:date.accessioned":["2020-07-21T16:46:01Z"],"dc:date.issued":["2020-05-01"],"dc:description":["The University of Nevada, Reno Libraries will promptly respond to removal requests related to content that violates intellectual property laws, data protections, or has been uploaded without creator consent. Takedown notices should be directed to our ScholarWolf team (scholarwolf@library.unr.edu) with information about the object, including its full URL and the nature of your complaint."],"dc:description.abstract":["Recent research has found that real world objects are processed differently than image-based objects due to their affordances or ability to be handled and used a certain way. This study aims to test whether this technology holds the same implications as real-world objects, specifically in regards to visuomotor perception. In addition, the study also aims to support the use of an underlying cognitive mechanism such as dorsal activation outside of lower stereo cues such as shadows as the responsible party for the differences between formats. To test these theories, participants performed in a visuomotor task measuring grip aperture and just noticeable difference with different size stimuli in a real world, image, and object condition. While findings did not suggest any significant differences between real world objects and AR technology, findings do suggest a strong difference from the image condition as well as variability in the condition's adherences to Weber's law."],"dc:format":["PDF"],"dc:identifier.uri":["http://hdl.handle.net/11714/7508"],"dc:language":["English"],"dc:language.iso":["en_US"],"dc:rights":["Creative Commons Attribution 4.0 United States"],"dc:title":["What Properties Drive Differences in Visual Processing between Real Objects and Images?"],"dc:type":["Thesis"],"thesis:degree_level":["Honors Thesis"],"thesis:degree_name":["Neuroscience"],"thesis:institution_name":["University of Nevada, Reno"]},"updated_at":"2026-07-27T21:46:30Z"}