{"id":"https://openalex.org/W2324020321","doi":"https://doi.org/10.1145/2872362.2872376","title":"AxGames","display_name":"AxGames","publication_year":2016,"publication_date":"2016-03-25","ids":{"openalex":"https://openalex.org/W2324020321","doi":"https://doi.org/10.1145/2872362.2872376","mag":"2324020321"},"language":"en","primary_location":{"id":"doi:10.1145/2872362.2872376","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2872362.2872376","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2872362.2872376?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/2872362.2872376?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037553165","display_name":"Jongse Park","orcid":"https://orcid.org/0000-0002-6629-449X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jongse Park","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048085877","display_name":"Emmanuel Amaro","orcid":"https://orcid.org/0009-0003-8721-4895"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emmanuel Amaro","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089590312","display_name":"Divya Mahajan","orcid":"https://orcid.org/0009-0007-8184-0528"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Divya Mahajan","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015540296","display_name":"Bradley Thwaites","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradley Thwaites","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084514143","display_name":"Hadi Esmaeilzadeh","orcid":"https://orcid.org/0000-0002-8548-1039"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hadi Esmaeilzadeh","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037553165"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":2.7036,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.9347375,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"623","last_page":"636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9948999881744385,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9948999881744385,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9821000099182129,"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":0.7376943826675415},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6801327466964722},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5220546722412109},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5167859792709351},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.43046998977661133},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.4143449664115906},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.41414153575897217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3060452342033386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15596750378608704},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08732929825782776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376943826675415},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6801327466964722},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5220546722412109},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5167859792709351},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.43046998977661133},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.4143449664115906},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.41414153575897217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3060452342033386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15596750378608704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08732929825782776},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2872362.2872376","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2872362.2872376","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2872362.2872376?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2872362.2872376","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2872362.2872376","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2872362.2872376?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1084401270","display_name":"EAGER: Language and Architecture Design for Approximation at Different Granularities","funder_award_id":"1553192","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6017102015","display_name":null,"funder_award_id":"#2014-EP-2577","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"},{"id":"https://openalex.org/G8249958359","display_name":null,"funder_award_id":"2014-EP-2577","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"},{"id":"https://openalex.org/G8285063668","display_name":null,"funder_award_id":"CCF#1553192","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320308258","display_name":"Qualcomm","ror":"https://ror.org/002zrf773"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2324020321.pdf","grobid_xml":"https://content.openalex.org/works/W2324020321.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W68530641","https://openalex.org/W1524333225","https://openalex.org/W1967519200","https://openalex.org/W1973021400","https://openalex.org/W1981473264","https://openalex.org/W1988290377","https://openalex.org/W1996431812","https://openalex.org/W2000122588","https://openalex.org/W2000873501","https://openalex.org/W2006312753","https://openalex.org/W2010468809","https://openalex.org/W2014423307","https://openalex.org/W2020018978","https://openalex.org/W2020517863","https://openalex.org/W2022710553","https://openalex.org/W2026764611","https://openalex.org/W2032238893","https://openalex.org/W2033982707","https://openalex.org/W2044694954","https://openalex.org/W2056616238","https://openalex.org/W2057434193","https://openalex.org/W2065439108","https://openalex.org/W2068710123","https://openalex.org/W2073338313","https://openalex.org/W2080942732","https://openalex.org/W2082738287","https://openalex.org/W2083986745","https://openalex.org/W2095730858","https://openalex.org/W2097243222","https://openalex.org/W2097652499","https://openalex.org/W2100922564","https://openalex.org/W2105544671","https://openalex.org/W2107756083","https://openalex.org/W2108598243","https://openalex.org/W2110764733","https://openalex.org/W2111444234","https://openalex.org/W2114703523","https://openalex.org/W2119299853","https://openalex.org/W2122067387","https://openalex.org/W2126869140","https://openalex.org/W2136333541","https://openalex.org/W2137591261","https://openalex.org/W2138146350","https://openalex.org/W2140145164","https://openalex.org/W2141282920","https://openalex.org/W2141955346","https://openalex.org/W2142096775","https://openalex.org/W2142883190","https://openalex.org/W2143028198","https://openalex.org/W2143283746","https://openalex.org/W2146065717","https://openalex.org/W2147982575","https://openalex.org/W2148479118","https://openalex.org/W2149870396","https://openalex.org/W2150915951","https://openalex.org/W2153331583","https://openalex.org/W2155438671","https://openalex.org/W2165448367","https://openalex.org/W2166250385","https://openalex.org/W2166773037","https://openalex.org/W2168429197","https://openalex.org/W2170382128","https://openalex.org/W2170881177","https://openalex.org/W2187230075","https://openalex.org/W2233797083","https://openalex.org/W2587628976","https://openalex.org/W2752224316","https://openalex.org/W3164970233","https://openalex.org/W4240237526","https://openalex.org/W4251319247","https://openalex.org/W4251825735","https://openalex.org/W6684795458"],"related_works":["https://openalex.org/W2324579392","https://openalex.org/W4296210280","https://openalex.org/W1683747163","https://openalex.org/W2065225072","https://openalex.org/W4296085736","https://openalex.org/W3192463781","https://openalex.org/W1844980490","https://openalex.org/W2521857984","https://openalex.org/W2188649187","https://openalex.org/W2100248246"],"abstract_inverted_index":{"Approximate":[0],"computing":[1],"trades":[2],"quality":[3,22,67,112,140,158,255,289,306],"of":[4,33,45,66,114,139,144,183,219,245,262,275,287,300,304,341,348,355],"application":[5,20,312],"output":[6,21,117],"for":[7,57,141,242,310,317],"higher":[8],"efficiency":[9],"and":[10,36,62,163,178,195,315,335],"performance.":[11],"Approximation":[12],"is":[13,23,30,308],"useful":[14],"only":[15],"if":[16],"its":[17],"impact":[18],"on":[19,42,107,216,278,338,357],"acceptable":[24,137,288,305],"to":[25,52,60,84,134,192,206,237,271,297,329],"the":[26,43,58,64,92,111,115,119,132,136,208,222,226,239,254,273,279,285,302,322,326,339,346,353,358],"users.":[27,263],"However,":[28],"there":[29],"a":[31,78,87,142,180,232,259],"lack":[32],"systematic":[34],"solutions":[35,349],"studies":[37],"that":[38,69,81,154,173,210,257,284,350],"explore":[39,352],"users'":[40],"perspective":[41],"effects":[44],"approximation.":[46],"In":[47],"this":[48,248],"paper,":[49],"we":[50,168],"seek":[51],"provide":[53],"one":[54,311],"such":[55,153],"solution":[56,80],"developers":[59,83,265],"probe":[61],"discover":[63],"boundary":[65],"loss":[68,113,290,307],"most":[70],"users":[71,100],"will":[72],"deem":[73],"acceptable.":[74],"We":[75,198,282],"propose":[76],"AxGames,":[77,167],"crowdsourced":[79],"enables":[82],"readily":[85],"infer":[86],"statistical":[88,269],"common":[89],"ground":[90],"from":[91],"general":[93],"public":[94],"through":[95,202],"three":[96,149],"entertaining":[97],"games.":[98],"The":[99,127,148,264],"engage":[101],"in":[102],"these":[103,268],"games":[104,150,209],"by":[105],"betting":[106],"their":[108,125,214],"opinion":[109],"about":[110,124,213],"final":[116],"while":[118],"AxGames":[120,223,250],"framework":[121,128,224],"collects":[122],"statistics":[123,212,241],"perceptions.":[126],"then":[129],"statistically":[130,252],"analyzes":[131],"results":[133,344],"determine":[135],"levels":[138,218],"pair":[143],"(application,":[145],"approximation":[146,276,330,356],"technique).":[147],"are":[151],"designed":[152],"they":[155],"effectively":[156],"capture":[157],"requirements":[159],"with":[160,324],"various":[161],"tradeoffs":[162],"contexts.":[164],"To":[165],"evaluate":[166],"examine":[169],"seven":[170],"diverse":[171],"applications":[172],"produce":[174],"user":[175,280,360],"perceptible":[176],"outputs":[177],"cover":[179],"wide":[181],"range":[182],"domains,":[184],"including":[185],"image":[186],"processing,":[187],"optical":[188],"character":[189],"recognition,":[190],"speech":[191],"text":[193],"conversion,":[194],"audio":[196],"processing.":[197],"recruit":[199],"700":[200],"participants/users":[201],"Amazon's":[203],"Mechanical":[204],"Turk":[205],"play":[207],"collect":[211],"perception":[215],"different":[217,333],"quality.":[220,246],"Subsequently,":[221],"uses":[225],"Clopper-Pearson":[227],"exact":[228],"method,":[229],"which":[230,325],"computes":[231],"binomial":[233],"proportion":[234],"confidence":[235],"interval,":[236],"analyze":[238],"collected":[240],"each":[243],"level":[244,256,274,286,303],"Using":[247],"analysis,":[249],"can":[251,266],"project":[253],"satisfies":[258],"given":[260],"percentage":[261],"use":[267],"projections":[270],"tune":[272],"based":[277],"experience.":[281,361],"find":[283],"significantly":[291,332],"varies":[292],"across":[293],"applications.":[294,342],"For":[295],"instance,":[296],"satisfy":[298],"90%":[299],"users,":[301],"2%":[309],"(image":[313],"processing)":[314],"26%":[316],"another":[318],"(audio":[319],"processing).":[320],"Moreover,":[321],"pattern":[323],"crowd":[327],"responds":[328],"takes":[331],"shape":[334],"form":[336],"depending":[337],"class":[340],"These":[343],"confirm":[345],"necessity":[347],"systematically":[351],"effect":[354],"end":[359]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2016-06-24T00:00:00"}
