{"id":"https://openalex.org/W2805535697","doi":"https://doi.org/10.1145/3204493.3204591","title":"Useful approaches to exploratory analysis of gaze data","display_name":"Useful approaches to exploratory analysis of gaze data","publication_year":2018,"publication_date":"2018-06-07","ids":{"openalex":"https://openalex.org/W2805535697","doi":"https://doi.org/10.1145/3204493.3204591","mag":"2805535697"},"language":"en","primary_location":{"id":"doi:10.1145/3204493.3204591","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3204493.3204591","pdf_url":null,"source":{"id":"https://openalex.org/S4306523650","display_name":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://trepo.tuni.fi/bitstream/10024/116778/5/useful_approaches_to_exploratory_2018.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086778104","display_name":"Poika Isokoski","orcid":"https://orcid.org/0000-0002-9769-3506"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Poika Isokoski","raw_affiliation_strings":["University of Tampere, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tampere, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068617561","display_name":"Jari Kangas","orcid":"https://orcid.org/0000-0003-1970-1862"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jari Kangas","raw_affiliation_strings":["University of Tampere, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tampere, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003572886","display_name":"P\u00e4ivi Majaranta","orcid":"https://orcid.org/0000-0002-3010-9408"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"P\u00e4ivi Majaranta","raw_affiliation_strings":["University of Tampere, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tampere, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3803,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.70576504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9911999702453613,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9911999702453613,"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/T11106","display_name":"Data Management and Algorithms","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/gaze","display_name":"Gaze","score":0.8250216841697693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.754908561706543},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.690192699432373},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.685181200504303},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5979873538017273},{"id":"https://openalex.org/keywords/exploratory-analysis","display_name":"Exploratory analysis","score":0.540752649307251},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5175158977508545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45367950201034546},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4150528013706207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3877677917480469},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.2835569977760315}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.8250216841697693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754908561706543},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.690192699432373},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.685181200504303},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5979873538017273},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.540752649307251},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5175158977508545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45367950201034546},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4150528013706207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3877677917480469},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2835569977760315},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3204493.3204591","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3204493.3204591","pdf_url":null,"source":{"id":"https://openalex.org/S4306523650","display_name":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:trepo.tuni.fi:10024/116778","is_oa":true,"landing_page_url":"https://trepo.tuni.fi//handle/10024/116778","pdf_url":"https://trepo.tuni.fi/bitstream/10024/116778/5/useful_approaches_to_exploratory_2018.pdf","source":{"id":"https://openalex.org/S4306401860","display_name":"Tampere University Institutional Repository (Tampere University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150589677","host_organization_name":"Tampere University of Applied Sciences","host_organization_lineage":["https://openalex.org/I150589677"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceObject"}],"best_oa_location":{"id":"pmh:oai:trepo.tuni.fi:10024/116778","is_oa":true,"landing_page_url":"https://trepo.tuni.fi//handle/10024/116778","pdf_url":"https://trepo.tuni.fi/bitstream/10024/116778/5/useful_approaches_to_exploratory_2018.pdf","source":{"id":"https://openalex.org/S4306401860","display_name":"Tampere University Institutional Repository (Tampere University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150589677","host_organization_name":"Tampere University of Applied Sciences","host_organization_lineage":["https://openalex.org/I150589677"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceObject"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2805535697.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W9931112","https://openalex.org/W1562811233","https://openalex.org/W1871315714","https://openalex.org/W1986257701","https://openalex.org/W1998156843","https://openalex.org/W2041599953","https://openalex.org/W2061306925","https://openalex.org/W2063121833","https://openalex.org/W2074206713","https://openalex.org/W2084854890","https://openalex.org/W2102122784","https://openalex.org/W2127218421","https://openalex.org/W2140277155","https://openalex.org/W2197638982","https://openalex.org/W2299467264","https://openalex.org/W2319794630","https://openalex.org/W2346117982","https://openalex.org/W2586172618","https://openalex.org/W2586856291","https://openalex.org/W2607262101","https://openalex.org/W2612575796","https://openalex.org/W4241614188","https://openalex.org/W4251922469"],"related_works":["https://openalex.org/W4245696228","https://openalex.org/W3106582992","https://openalex.org/W2106505873","https://openalex.org/W2149507315","https://openalex.org/W4234525880","https://openalex.org/W4293708072","https://openalex.org/W2905990309","https://openalex.org/W2301896740","https://openalex.org/W2324344272","https://openalex.org/W2047528632"],"abstract_inverted_index":{"Exploratory":[0],"analysis":[1],"of":[2,15,46,57],"gaze":[3,26],"data":[4,16,27,65],"requires":[5],"methods":[6,85,111],"that":[7,76,90],"make":[8],"it":[9],"possible":[10],"to":[11,29,78,93],"process":[12],"large":[13],"amounts":[14],"while":[17],"minimizing":[18],"human":[19],"labor.":[20],"The":[21],"conventional":[22,37,124],"approach":[23],"in":[24,114],"exploring":[25],"is":[28],"construct":[30],"heatmap":[31,59],"visualizations.":[32],"While":[33],"simple":[34],"and":[35,73,101],"intuitive,":[36],"heatmaps":[38],"do":[39],"not":[40],"clearly":[41],"indicate":[42],"differences":[43,118],"between":[44,119],"groups":[45,120],"viewers":[47],"or":[48],"give":[49],"estimates":[50],"for":[51],"the":[52,58,64,116],"repeatability":[53],"(i.e.,":[54],"which":[55],"parts":[56],"would":[60],"look":[61],"similar":[62,95],"if":[63],"were":[66],"collected":[67],"again).":[68],"We":[69],"discuss":[70],"difference":[71],"maps":[72,75,100],"significance":[74],"answer":[77],"these":[79,110],"needs.":[80],"In":[81],"addition":[82],"we":[83],"describe":[84],"based":[86],"on":[87],"automatic":[88],"clustering":[89],"allow":[91],"us":[92],"achieve":[94],"results":[96],"with":[97,106],"cluster":[98],"observation":[99],"transition":[102],"maps.":[103],"As":[104],"demonstrated":[105],"our":[107],"example":[108],"data,":[109],"are":[112],"effective":[113],"highlighting":[115],"strongest":[117],"more":[121],"effectively":[122],"than":[123],"heatmaps.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}