{"id":"https://openalex.org/W2091471778","doi":"https://doi.org/10.1145/1401132.1401243","title":"Psychophysics 101","display_name":"Psychophysics 101","publication_year":2008,"publication_date":"2008-08-11","ids":{"openalex":"https://openalex.org/W2091471778","doi":"https://doi.org/10.1145/1401132.1401243","mag":"2091471778"},"language":"en","primary_location":{"id":"doi:10.1145/1401132.1401243","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1401132.1401243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2008 classes","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077900703","display_name":"James A. Ferwerda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124834","display_name":"Color (United States)","ror":"https://ror.org/031ghq268","country_code":"US","type":"company","lineage":["https://openalex.org/I4210124834"]},{"id":"https://openalex.org/I4210150557","display_name":"Science Research Laboratory","ror":"https://ror.org/04s5n7912","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210150557"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"James A. Ferwerda","raw_affiliation_strings":["Munsell Color Science Laboratory"],"affiliations":[{"raw_affiliation_string":"Munsell Color Science Laboratory","institution_ids":["https://openalex.org/I4210150557","https://openalex.org/I4210124834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077900703"],"corresponding_institution_ids":["https://openalex.org/I4210124834","https://openalex.org/I4210150557"],"apc_list":null,"apc_paid":null,"fwci":4.4581,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93735529,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.8665000200271606,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.8665000200271606,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.8507000207901001,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.8256000280380249,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.781112551689148},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.7673614025115967},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.7073188424110413},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.683414101600647},{"id":"https://openalex.org/keywords/psychophysics","display_name":"Psychophysics","score":0.5978076457977295},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5720243453979492},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.4621022939682007},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3212505578994751},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13939717411994934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.781112551689148},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.7673614025115967},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.7073188424110413},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.683414101600647},{"id":"https://openalex.org/C15123163","wikidata":"https://www.wikidata.org/wiki/Q500096","display_name":"Psychophysics","level":3,"score":0.5978076457977295},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5720243453979492},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.4621022939682007},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3212505578994751},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13939717411994934},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1401132.1401243","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1401132.1401243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2008 classes","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4233108518","https://openalex.org/W4234077872","https://openalex.org/W2066703180","https://openalex.org/W856338413","https://openalex.org/W2319989118","https://openalex.org/W82290398","https://openalex.org/W2381296300","https://openalex.org/W74297911","https://openalex.org/W4245723629","https://openalex.org/W1503820821"],"abstract_inverted_index":{"Psychophysical":[0],"methods":[1,62],"from":[2],"experimental":[3],"psychology":[4,136],"can":[5,26,37,75],"be":[6,27,76,90,116,128],"used":[7,28,77,91],"to":[8,29,57,71,78,97,119,127,130],"quantify":[9],"the":[10,13,39,58,85,105,122,132],"relationships":[11],"between":[12],"properties":[14],"of":[15,23,33,41,60,117,121,134,144],"images":[16],"and":[17,43,47,66,82,99,107,111,138],"what":[18],"people":[19],"perceive.":[20],"The":[21],"results":[22,133],"psychophysical":[24,61],"experiments":[25,73,137],"create":[30],"predictive":[31],"models":[32],"human":[34],"perception":[35,135],"that":[36,74],"guide":[38],"development":[40],"effective":[42],"efficient":[44],"graphics":[45,65,80,123,146],"algorithms":[46,110],"enabling":[48],"graphical":[49],"interfaces.":[50],"This":[51,113],"course":[52,114],"will":[53,67,89,94,115],"provide":[54],"an":[55],"introduction":[56],"use":[59],"in":[63],"computer":[64,145],"teach":[68],"attendees":[69,93],"how":[70,96],"develop":[72,108,139],"advance":[79],"research":[81],"applications.":[83,112],"Throughout":[84],"presentation,":[86],"graphics-relevant":[87],"examples":[88],"so":[92],"understand":[95],"design":[98],"run":[100],"their":[101,140],"own":[102,141],"experiments;":[103],"analyze":[104],"results;":[106],"perceptually-based":[109],"interest":[118],"members":[120],"community":[124],"who":[125],"want":[126],"able":[129],"interpret":[131],"user":[142],"studies":[143],"techniques.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
