{"id":"https://openalex.org/W3134055093","doi":"https://doi.org/10.1145/3406522.3446013","title":"Exploring Gaze-Based Prediction Strategies for Preference Detection in Dynamic Interface Elements","display_name":"Exploring Gaze-Based Prediction Strategies for Preference Detection in Dynamic Interface Elements","publication_year":2021,"publication_date":"2021-02-27","ids":{"openalex":"https://openalex.org/W3134055093","doi":"https://doi.org/10.1145/3406522.3446013","mag":"3134055093"},"language":"en","primary_location":{"id":"doi:10.1145/3406522.3446013","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3406522.3446013","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3406522.3446013","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3406522.3446013","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085920437","display_name":"Melanie Heck","orcid":"https://orcid.org/0000-0002-9601-0064"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Melanie Heck","raw_affiliation_strings":["University of Mannheim, Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038131243","display_name":"Janick Edinger","orcid":"https://orcid.org/0000-0002-9392-2922"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Janick Edinger","raw_affiliation_strings":["University of Hamburg, Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020201802","display_name":"Jonathan B\u00fcnemann","orcid":null},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jonathan B\u00fcnemann","raw_affiliation_strings":["University of Mannheim, Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008388312","display_name":"Christian Becker","orcid":"https://orcid.org/0000-0002-9036-1410"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Becker","raw_affiliation_strings":["University of Mannheim, Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9678999781608582,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8065577745437622},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.6990620493888855},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6608198881149292},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.6153634786605835},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5508905053138733},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5380570292472839},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5107192993164062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48509299755096436},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4729192852973938},{"id":"https://openalex.org/keywords/digitization","display_name":"Digitization","score":0.4232722520828247},{"id":"https://openalex.org/keywords/casual","display_name":"Casual","score":0.4154934883117676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2612462639808655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065577745437622},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.6990620493888855},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6608198881149292},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.6153634786605835},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5508905053138733},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5380570292472839},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5107192993164062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48509299755096436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4729192852973938},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.4232722520828247},{"id":"https://openalex.org/C2781426162","wikidata":"https://www.wikidata.org/wiki/Q2275793","display_name":"Casual","level":2,"score":0.4154934883117676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2612462639808655},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3406522.3446013","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3406522.3446013","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3406522.3446013","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:59320","is_oa":false,"landing_page_url":"https://madoc.bib.uni-mannheim.de/59320/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Konferenzver\u00f6ffentlichung"}],"best_oa_location":{"id":"doi:10.1145/3406522.3446013","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3406522.3446013","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3406522.3446013","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3134055093.pdf","grobid_xml":"https://content.openalex.org/works/W3134055093.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W107670845","https://openalex.org/W1452934819","https://openalex.org/W1551295664","https://openalex.org/W1895838842","https://openalex.org/W1966899570","https://openalex.org/W1967766192","https://openalex.org/W1986276586","https://openalex.org/W1987261168","https://openalex.org/W1994533223","https://openalex.org/W2000385497","https://openalex.org/W2010809855","https://openalex.org/W2019658628","https://openalex.org/W2020825481","https://openalex.org/W2028194774","https://openalex.org/W2030595170","https://openalex.org/W2032382719","https://openalex.org/W2032875047","https://openalex.org/W2037311778","https://openalex.org/W2042067021","https://openalex.org/W2056513832","https://openalex.org/W2059216172","https://openalex.org/W2060634628","https://openalex.org/W2066085742","https://openalex.org/W2068347803","https://openalex.org/W2074875579","https://openalex.org/W2083825617","https://openalex.org/W2088962633","https://openalex.org/W2089165579","https://openalex.org/W2094539281","https://openalex.org/W2095204514","https://openalex.org/W2128272608","https://openalex.org/W2134131174","https://openalex.org/W2135957164","https://openalex.org/W2137361112","https://openalex.org/W2144764737","https://openalex.org/W2144801003","https://openalex.org/W2150497272","https://openalex.org/W2155657573","https://openalex.org/W2155840072","https://openalex.org/W2164706250","https://openalex.org/W2166237624","https://openalex.org/W2167020116","https://openalex.org/W2172091789","https://openalex.org/W2177961586","https://openalex.org/W2490939614","https://openalex.org/W2519473699","https://openalex.org/W2557669140","https://openalex.org/W2604738573","https://openalex.org/W2796850409","https://openalex.org/W2905264372","https://openalex.org/W2965297430","https://openalex.org/W2972531390","https://openalex.org/W2980475885","https://openalex.org/W2997591727","https://openalex.org/W2997842202","https://openalex.org/W2999905431","https://openalex.org/W3098161516","https://openalex.org/W4205616319","https://openalex.org/W4211152336","https://openalex.org/W4253418612","https://openalex.org/W4253714616","https://openalex.org/W6922057760"],"related_works":["https://openalex.org/W1005754617","https://openalex.org/W756683672","https://openalex.org/W2979523788","https://openalex.org/W2014044877","https://openalex.org/W3141514971","https://openalex.org/W1673318806","https://openalex.org/W2166929399","https://openalex.org/W3124834840","https://openalex.org/W3215211012","https://openalex.org/W2490317329"],"abstract_inverted_index":{"Digitization":[0],"is":[1,61],"currently":[2],"infiltrating":[3],"all":[4],"daily":[5],"processes,":[6],"forcing":[7],"casual":[8],"computer":[9],"users":[10],"to":[11,19,29,37,53,118,139,152],"become":[12],"acquainted":[13],"with":[14,88,134],"unfamiliar":[15],"tools.":[16],"In":[17,81],"order":[18],"avoid":[20],"overstraining":[21],"these":[22],"users,":[23],"simplified":[24],"interfaces":[25],"that":[26,127],"are":[27,35,41],"reduced":[28],"the":[30,38,65,72,98,107,119,150,160,163],"functionality":[31],"and":[32,68,169],"content":[33],"which":[34,95],"relevant":[36,55],"individual":[39,176],"user":[40],"imperative.":[42],"Gaze-contingent":[43],"systems":[44],"thus":[45],"monitor":[46],"viewing":[47],"behavior":[48],"during":[49],"natural":[50],"system":[51],"interactions":[52],"predict":[54,132],"interface":[56,73],"elements.":[57,177],"The":[58],"prediction":[59,156],"performance":[60,120,151],"highly":[62],"dependent":[63],"on":[64,159],"underlying":[66],"features":[67],"algorithm,":[69],"especially":[70],"when":[71],"consist":[74],"of":[75,91,109,115,121,137,162],"dynamic":[76],"elements":[77,114],"such":[78],"as":[79],"videos.":[80,103],"this":[82],"paper,":[83],"we":[84,96,171],"conduct":[85],"two":[86,143],"studies":[87],"a":[89],"total":[90],"233":[92],"subjects":[93],"in":[94],"record":[97],"viewers'":[99],"gaze":[100],"while":[101],"watching":[102],"We":[104],"then":[105],"compare":[106],"quality":[108],"preference":[110,165],"predictions":[111],"for":[112,142,166,175],"video":[113],"majority":[116,129],"voting":[117,130],"machine":[122,147],"learning.":[123],"Our":[124],"results":[125],"indicate":[126],"(1)":[128],"can":[131,172],"preferences":[133,174],"an":[135,167],"accuracy":[136,157],"up":[138],"73%":[140],"(66%)":[141],"(four)":[144],"elements,":[145],"(2)":[146],"learning":[148],"improves":[149],"82%":[153],"(74%),":[154],"(3)":[155],"depends":[158],"strength":[161],"user's":[164],"element,":[168],"(4)":[170],"rank":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
