{"id":"https://openalex.org/W2033999077","doi":"https://doi.org/10.1145/1837885.1837904","title":"Sentence recall game","display_name":"Sentence recall game","publication_year":2010,"publication_date":"2010-07-25","ids":{"openalex":"https://openalex.org/W2033999077","doi":"https://doi.org/10.1145/1837885.1837904","mag":"2033999077"},"language":"en","primary_location":{"id":"doi:10.1145/1837885.1837904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1837885.1837904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGKDD Workshop on Human Computation","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/A5100384769","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-6005-2545"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Syracuse University, Syracuse, New York"],"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, New York","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080653038","display_name":"Bei Yu","orcid":"https://orcid.org/0000-0001-5425-0011"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bei Yu","raw_affiliation_strings":["Syracuse University, Syracuse, New York"],"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, New York","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100384769"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":0.5838,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79868337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9995999932289124,"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/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9986000061035156,"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/recall","display_name":"Recall","score":0.8049590587615967},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.7864565849304199},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7510100603103638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7406102418899536},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.6051084995269775},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6033436059951782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5114997625350952},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.47537675499916077},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22211694717407227},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.18412107229232788}],"concepts":[{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.8049590587615967},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.7864565849304199},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7510100603103638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406102418899536},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.6051084995269775},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6033436059951782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5114997625350952},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.47537675499916077},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22211694717407227},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.18412107229232788},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1837885.1837904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1837885.1837904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGKDD Workshop on Human Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1502101714","https://openalex.org/W1524947445","https://openalex.org/W1765004170","https://openalex.org/W2023261514","https://openalex.org/W2035683813","https://openalex.org/W2052305262","https://openalex.org/W2113459345","https://openalex.org/W2128192653","https://openalex.org/W2141282920","https://openalex.org/W2464604967","https://openalex.org/W3163140148","https://openalex.org/W6656347811"],"related_works":["https://openalex.org/W3018282762","https://openalex.org/W2558055997","https://openalex.org/W2791183434","https://openalex.org/W2353369313","https://openalex.org/W4400794747","https://openalex.org/W4250645680","https://openalex.org/W4300782058","https://openalex.org/W2086339586","https://openalex.org/W2394387726","https://openalex.org/W2378724474"],"abstract_inverted_index":{"Recently":[0],"we":[1],"ran":[2],"a":[3,103,122],"simple":[4],"memory":[5],"test":[6],"experiment,":[7],"called":[8],"sentence":[9,117],"recall,":[10],"in":[11,36,58,102],"which":[12],"participants":[13],"were":[14],"asked":[15],"to":[16,45,113,136],"recall":[17,118],"sentences":[18],"that":[19,53,81,131],"they":[20,82],"had":[21],"just":[22],"seen":[23],"on":[24,66,76,86],"the":[25,47,59,67,87,132,139],"screen.":[26],"Many":[27],"participants,":[28],"especially":[29],"non-native":[30,150],"English":[31],"speakers,":[32],"made":[33],"various":[34],"deviations":[35,41],"their":[37,77],"recalled":[38],"sentences.":[39],"Some":[40],"represent":[42],"alternative":[43],"ways":[44],"express":[46],"same":[48],"meaning,":[49],"but":[50],"others":[51],"suggest":[52],"there":[54],"are":[55],"missing":[56],"pieces":[57],"participants'":[60],"language":[61,78,99,106,146],"knowledge.":[62],"The":[63],"deviation":[64,126,141],"data,":[65],"one":[68],"hand,":[69,89],"can":[70,90,143],"provide":[71],"individual":[72],"users":[73],"valuable":[74],"feedback":[75],"usage":[79,100,147],"patterns":[80,101,148],"may":[83],"never":[84],"notice,":[85],"other":[88],"be":[91],"used":[92],"as":[93],"training":[94],"data":[95,142],"for":[96,120],"automatically":[97],"discovering":[98],"subpopulation":[104],"of":[105,125],"learners.":[107],"This":[108],"paper":[109],"presents":[110],"our":[111],"attempts":[112],"create":[114],"an":[115],"enjoyable":[116],"game":[119,133],"collecting":[121],"large":[123],"amount":[124],"data.":[127],"Our":[128],"results":[129],"show":[130],"is":[134],"fun":[135],"play":[137],"and":[138],"collected":[140],"reveal":[144],"common":[145],"among":[149],"speakers.":[151]},"counts_by_year":[{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
