{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/124501"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/124501","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Target-distractor distinctiveness guides efficient search","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01","abstract_has_math":false,"creators":["Xu, Zoe Jing"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Lleras, Alejandro","Buetti, Simona","Beck, Diane","Christianson, Kiel","Xia, Yan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-05","date_published":"2024-05","updated_at":"2026-07-22T22:25:02Z","subjects":["Visual Search","Feature Dimension Combination"],"languages":["en","eng"],"rights":["Copyright 2024 Zoe Jing Xu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/124501","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Lleras, Alejandro","Buetti, Simona","Beck, Diane","Christianson, Kiel","Xia, Yan"]},{"key":"dc:creator","label":"Author","values":["Xu, Zoe Jing"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024-05","2024-04-10"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Visual Search","Feature Dimension Combination"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2024 Zoe Jing Xu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/124501"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01","The student, Zoe Jing Xu, accepted the attached license on 2024-04-02 at 17:09.","The student, Zoe Jing Xu, submitted this Dissertation for approval on 2024-04-02 at 22:12.","This Dissertation was approved for publication on 2024-04-10 at 10:02.","DSpace SAF Submission Ingestion Package generated from Vireo submission #20292 on 2024-09-16 at 00:43:06","Visual search is a common activity that people engage in regularly. Efficient search, where the target is distinct from distractors, is typically easy to perform. It is believed that efficient search primarily relies on a stage of parallel processing where all the locations in the scene are examined simultaneously to determine the target’s location. However, the specific type of parallel processing and its guidance on efficient search are still subjects of debate. The Target Contrast Signal Theory proposes that during parallel search, a comparison is made between the target template and display items, with distinctiveness signals being accumulated for each item. These distinctiveness signals then guide the search, determining whether an item should be rejected as a distractor, or should be attended to as a potential target. In this thesis, I use computational modeling to investigate the nature of comparisons made during parallel processing and the composition of distinctiveness signals when comparisons are made on multiple feature dimensions. Chapter 2 explores the nature of the parallel comparisons that provide distinctiveness signals in efficient search. Chapter 3 investigates how distinctiveness along shape and texture dimensions combines to guide bidimensional search. Chapter 4 delves into how distinctiveness along color, shape, and texture dimensions combine to guide tridimensional search. The studies conducted in this thesis offer a better understanding of the attentional guidance mechanisms involved in efficient visual search, and also provide a mathematical modeling framework to predict complex search performance based on simpler search performance."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Target-distractor distinctiveness guides efficient search"]}]}],"canonical_facts":{"dc:contributor":["Lleras, Alejandro","Buetti, Simona","Beck, Diane","Christianson, Kiel","Xia, Yan"],"dc:creator":["Xu, Zoe Jing"],"dc:date":["2024-05","2024-04-10"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01","The student, Zoe Jing Xu, accepted the attached license on 2024-04-02 at 17:09.","The student, Zoe Jing Xu, submitted this Dissertation for approval on 2024-04-02 at 22:12.","This Dissertation was approved for publication on 2024-04-10 at 10:02.","DSpace SAF Submission Ingestion Package generated from Vireo submission #20292 on 2024-09-16 at 00:43:06","Visual search is a common activity that people engage in regularly. Efficient search, where the target is distinct from distractors, is typically easy to perform. It is believed that efficient search primarily relies on a stage of parallel processing where all the locations in the scene are examined simultaneously to determine the target’s location. However, the specific type of parallel processing and its guidance on efficient search are still subjects of debate. The Target Contrast Signal Theory proposes that during parallel search, a comparison is made between the target template and display items, with distinctiveness signals being accumulated for each item. These distinctiveness signals then guide the search, determining whether an item should be rejected as a distractor, or should be attended to as a potential target. In this thesis, I use computational modeling to investigate the nature of comparisons made during parallel processing and the composition of distinctiveness signals when comparisons are made on multiple feature dimensions. Chapter 2 explores the nature of the parallel comparisons that provide distinctiveness signals in efficient search. Chapter 3 investigates how distinctiveness along shape and texture dimensions combines to guide bidimensional search. Chapter 4 delves into how distinctiveness along color, shape, and texture dimensions combine to guide tridimensional search. The studies conducted in this thesis offer a better understanding of the attentional guidance mechanisms involved in efficient visual search, and also provide a mathematical modeling framework to predict complex search performance based on simpler search performance."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/124501"],"dc:language":["en","eng"],"dc:rights":["Copyright 2024 Zoe Jing Xu"],"dc:subject":["Visual Search","Feature Dimension Combination"],"dc:title":["Target-distractor distinctiveness guides efficient search"],"dc:type":["text"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:02Z"}