{"id":"https://openalex.org/W6925631097","doi":"https://doi.org/10.21227/j3x2-1v53","title":"Using the SOCIO Chatbot for UML Modelling: A Family of Experiments","display_name":"Using the SOCIO Chatbot for UML Modelling: A Family of Experiments","publication_year":2021,"publication_date":"2021-03-01","ids":{"openalex":"https://openalex.org/W6925631097","doi":"https://doi.org/10.21227/j3x2-1v53"},"language":"en","primary_location":{"id":"doi:10.21227/j3x2-1v53","is_oa":true,"landing_page_url":"https://doi.org/10.21227/j3x2-1v53","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/j3x2-1v53","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ren, Ranci","orcid":null},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ren, Ranci","raw_affiliation_strings":["Universidad Aut\u00f3noma de Madrid"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma de Madrid","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Castro, John W.","orcid":"https://orcid.org/0000-0002-7938-7564"},"institutions":[{"id":"https://openalex.org/I201487725","display_name":"University of Atacama","ror":"https://ror.org/022yres73","country_code":"CL","type":"education","lineage":["https://openalex.org/I201487725"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Castro, John W.","raw_affiliation_strings":["Universidad de Atacama"],"raw_orcid":"https://orcid.org/0000-0002-7938-7564","affiliations":[{"raw_affiliation_string":"Universidad de Atacama","institution_ids":["https://openalex.org/I201487725"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Santos, Adri\u00e1n","orcid":"https://orcid.org/0000-0002-8690-2309"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Santos, Adri\u00e1n","raw_affiliation_strings":["University of Oulu"],"raw_orcid":"https://orcid.org/0000-0002-8690-2309","affiliations":[{"raw_affiliation_string":"University of Oulu","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":null,"display_name":"Acu\u00f1a, Silvia T.","orcid":null},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Acu\u00f1a, Silvia T.","raw_affiliation_strings":["Universidad Aut\u00f3noma de Madrid"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma de Madrid","institution_ids":["https://openalex.org/I63634437"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.07980000227689743,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.07980000227689743,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.03420000150799751,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.030799999833106995,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6970999836921692},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6477000117301941},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5356000065803528},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4706000089645386},{"id":"https://openalex.org/keywords/chatbot","display_name":"Chatbot","score":0.4230000078678131},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.42179998755455017},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.39340001344680786},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.3837999999523163},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.3668000102043152}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6970999836921692},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6477000117301941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442000269889832},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5356000065803528},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4706000089645386},{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.4230000078678131},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42179998755455017},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35569998621940613},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34929999709129333},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3440999984741211},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C202446494","wikidata":"https://www.wikidata.org/wiki/Q664166","display_name":"Class diagram","level":4,"score":0.2831000089645386},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2809000015258789},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C186399060","wikidata":"https://www.wikidata.org/wiki/Q959962","display_name":"Diagram","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25270000100135803},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/j3x2-1v53","is_oa":true,"landing_page_url":"https://doi.org/10.21227/j3x2-1v53","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/j3x2-1v53","is_oa":true,"landing_page_url":"https://doi.org/10.21227/j3x2-1v53","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Data":[0],"AnalysisThis":[1],"folder":[2,23,157,214,217,252,254,268,271],"consists":[3],"of":[4,45,57,72,105,131,135,146,152,227,258,281],"data":[5,44,62,75],"obtained":[6,65],"from":[7,66,76],"the":[8,11,20,42,55,67,73,98,103,116,132,136,144,159,164,171,181,187,197,201,204,212,219,225,233,243,256,273,279,282,289],"experiments":[9,138],"and":[10,81,93,102,203,242,263,288],"materials":[12,161],"we":[13,18,38,51,64,108,141,169,185,222,275],"use":[14,39,276],"for":[15,236,246],"analysis.":[16],"Here":[17,168,184],"provide":[19,170,186],"following":[21,172],"documents:The":[22],"\u201cClass":[24],"diagrams\u201d.":[25],"The":[26,36,61,175],"class":[27,87,106,113,117],"diagrams":[28,88,114],"that":[29,63],"realized":[30,119],"by":[31,120,208],"participants":[32,194],"in":[33,163,190],"three":[34,46,77,137,182],"experiments.Code.R.":[35],"code":[37],"to":[40,90,139,195,277],"analyze":[41,97],"raw":[43,74],"experiments.":[47,183],"With":[48],"this":[49],"code,":[50],"generate":[52],"profile-plots,":[53],"violin-plots,":[54],"summaries":[56],"descriptive":[58],"statistics.Familiarity":[59],"Result.xlsx.":[60],"familiarity":[68,220],"questionnaire.Raw":[69],"Data.xlsx.The":[70],"aggregation":[71],"experiments.Task":[78],"1":[79,92,238,260],"diagram.png":[80],"Task":[82,91,94,237,247,259,264],"2":[83,248,265],"diagram.png.The":[84],"two":[85,111],"ideal":[86,112],"correspond":[89],"2.":[95],"To":[96],"response":[99,154],"variable":[100],"effectiveness":[101],"quality":[104],"diagrams,":[107],"compare":[109],"these":[110],"with":[115],"diagram":[118],"participants.Which":[121],"Variable":[122],"Is":[123],"Statistically":[124],"Significant?.":[125],"xlsx.To":[126],"give":[127,278],"a":[128],"better":[129],"understanding":[130],"statistical":[133,147],"significance":[134,148],"readers,":[140],"additionally":[142],"provided":[143],"comparisons":[145],"toward":[149],"each":[150,153,209,228],"metric":[151],"variable.Experimental":[155],"DesignThis":[156],"contains":[158,218,255,272],"original":[160],"used":[162,223],"experimental":[165],"design":[166],"process.":[167],"documents:Experiment":[173],"Procedure.pdf.":[174],"experiment":[176,188,229],"procedure":[177,189],"is":[178,211],"identical":[179],"among":[180],"detail.Informed":[191],"Consent.pdf.We":[192],"require":[193],"sign":[196],"informed":[198,205],"consent":[199,206],"before":[200,224],"experiment,":[202],"received":[207],"participant":[210],"same.The":[213],"\u201cQuestionnaires\u201d.":[215],"This":[216],"questionnaire":[221,235,245],"execution":[226],"(i.e.,":[230,239,249,261,266,285,294],"Familiarity":[231],"Questionnaire.pdf),":[232],"SUS":[234,240,244,250],"Questionnaire_Task1.pdf)":[241],"Questionnaire_Task2.pdf).The":[251],"\u201cTasks\u201d.This":[253],"contents":[257],"Task1.pdf)":[262],"Task2.pdf).The":[267],"\u201cTutorial":[269],"Slides\u201d.This":[270],"slides":[274],"tutorials":[280],"chatbot":[283],"SOCIO":[284,286],"Tutorial.pptx)":[287,296],"web-based":[290],"online":[291],"tool":[292],"Creately":[293],"CREATELY":[295]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}