{"id":"https://openalex.org/W2114968482","doi":"https://doi.org/10.1145/1753326.1753687","title":"Measuring the user experience on a large scale","display_name":"Measuring the user experience on a large scale","publication_year":2010,"publication_date":"2010-04-10","ids":{"openalex":"https://openalex.org/W2114968482","doi":"https://doi.org/10.1145/1753326.1753687","mag":"2114968482"},"language":"en","primary_location":{"id":"doi:10.1145/1753326.1753687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1753326.1753687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","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/A5023487102","display_name":"Kerry Rodden","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kerry Rodden","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059409463","display_name":"Hilary Hutchinson","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hilary Hutchinson","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068016934","display_name":"Xin Fu","orcid":"https://orcid.org/0000-0003-4015-0778"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Fu","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023487102"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":2.3529,"has_fulltext":false,"cited_by_count":227,"citation_normalized_percentile":{"value":0.89379578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2395","last_page":"2398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9883000254631042,"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/T10260","display_name":"Software Engineering Research","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.644967257976532},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6110191345214844},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4270938038825989},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08360490202903748},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06578117609024048}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644967257976532},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6110191345214844},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4270938038825989},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08360490202903748},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06578117609024048}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1753326.1753687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1753326.1753687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W15080952","https://openalex.org/W1530266187","https://openalex.org/W1589091100","https://openalex.org/W1784575042","https://openalex.org/W1974976481","https://openalex.org/W2025776690","https://openalex.org/W2069003154","https://openalex.org/W2116041277","https://openalex.org/W2119714163","https://openalex.org/W2121833449","https://openalex.org/W2173213060","https://openalex.org/W2548786785","https://openalex.org/W6600628503","https://openalex.org/W6678120442","https://openalex.org/W6678291495"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"More":[0],"and":[1,4,12,17,49,93,97],"more":[2,130],"products":[3,107],"services":[5],"are":[6,90,110],"being":[7],"deployed":[8],"on":[9,24,135],"the":[10,58],"web,":[11],"this":[13,54],"presents":[14],"new":[15],"challenges":[16],"opportunities":[18],"for":[19,33,36,61,69],"measurement":[20],"of":[21,79,103],"user":[22],"experience":[23],"a":[25,30,67],"large":[26],"scale.":[27],"There":[28],"is":[29],"strong":[31],"need":[32],"user-centered":[34,62],"metrics":[35,82,133],"web":[37],"applications,":[38],"which":[39],"can":[40],"be":[41,118],"used":[42],"to":[43,73,101,120,128],"measure":[44],"progress":[45],"towards":[46],"key":[47],"goals,":[48],"drive":[50],"product":[51,71,85],"decisions.":[52],"In":[53],"note,":[55],"we":[56,109],"describe":[57],"HEART":[59,81],"framework":[60,96],"metrics,":[63],"as":[64,66],"well":[65],"process":[68,98],"mapping":[70],"goals":[72],"metrics.":[74],"We":[75,125],"include":[76],"practical":[77],"examples":[78],"how":[80],"have":[83,99],"helped":[84],"teams":[86,113],"make":[87],"decisions":[88],"that":[89,108,112],"both":[91],"data-driven":[92],"user-centered.":[94],"The":[95],"generalized":[100],"enough":[102],"our":[104],"company's":[105],"own":[106],"confident":[111],"in":[114],"other":[115],"organizations":[116],"will":[117],"able":[119],"reuse":[121],"or":[122],"adapt":[123],"them.":[124],"also":[126],"hope":[127],"encourage":[129],"research":[131],"into":[132],"based":[134],"large-scale":[136],"behavioral":[137],"data.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":43},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}