{"id":"https://openalex.org/W2980024866","doi":"https://doi.org/10.1145/3357155.3358438","title":"Investigating Google dashboard's explainability to support individual privacy decision making","display_name":"Investigating Google dashboard's explainability to support individual privacy decision making","publication_year":2019,"publication_date":"2019-10-07","ids":{"openalex":"https://openalex.org/W2980024866","doi":"https://doi.org/10.1145/3357155.3358438","mag":"2980024866"},"language":"en","primary_location":{"id":"doi:10.1145/3357155.3358438","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357155.3358438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Brazilian Symposium 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/A5023208664","display_name":"Maria Clara G. de Almeida","orcid":null},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Maria Clara G. de Almeida","raw_affiliation_strings":["Universidade Federal Fluminense, Niter\u00f3i, Rio de Janeiro, Brasil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal Fluminense, Niter\u00f3i, Rio de Janeiro, Brasil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051161089","display_name":"Luciana Cardoso de Castro Salgado","orcid":"https://orcid.org/0000-0003-1207-6021"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luciana C. de Castro Salgado","raw_affiliation_strings":["Universidade Federal Fluminense, Niter\u00f3i, Rio de Janeiro, Brasil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal Fluminense, Niter\u00f3i, Rio de Janeiro, Brasil","institution_ids":["https://openalex.org/I161127581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023208664"],"corresponding_institution_ids":["https://openalex.org/I161127581"],"apc_list":null,"apc_paid":null,"fwci":1.0201,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85059631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9952999949455261,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/dashboard","display_name":"Dashboard","score":0.7956137657165527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6572839021682739},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.42145439982414246},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.38104140758514404},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.21711325645446777}],"concepts":[{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.7956137657165527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6572839021682739},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.42145439982414246},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.38104140758514404},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.21711325645446777}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3357155.3358438","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357155.3358438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Brazilian Symposium on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1499113619","https://openalex.org/W2061831106","https://openalex.org/W2080453063","https://openalex.org/W2083472026","https://openalex.org/W2089416752","https://openalex.org/W2097427281","https://openalex.org/W2304748765","https://openalex.org/W2493343568","https://openalex.org/W2507353024","https://openalex.org/W2545457694","https://openalex.org/W2616949037","https://openalex.org/W2617308720","https://openalex.org/W2618132268","https://openalex.org/W2745777039","https://openalex.org/W2777426650","https://openalex.org/W2789650693","https://openalex.org/W2793590451","https://openalex.org/W2809386502","https://openalex.org/W2896683119","https://openalex.org/W2897186974","https://openalex.org/W2897243381","https://openalex.org/W2902203272","https://openalex.org/W2963095307","https://openalex.org/W3121545161","https://openalex.org/W3123686114","https://openalex.org/W3124443940"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2607236244","https://openalex.org/W2382083831","https://openalex.org/W4239369595","https://openalex.org/W2169792944","https://openalex.org/W3048913176","https://openalex.org/W4386891374","https://openalex.org/W4292603292","https://openalex.org/W2048767857","https://openalex.org/W2808637346"],"abstract_inverted_index":{"Advances":[0],"in":[1,92,137,153,171],"information":[2],"technology":[3],"often":[4],"overwhelm":[5],"users":[6,120,139,217],"with":[7,78],"complex":[8],"privacy":[9,123],"and":[10,17,35,149,213,221],"security":[11],"decisions.":[12,223],"They":[13],"make":[14,187,219],"the":[15,25,37,62,65,68,79,84,96,101,129,154,161,164,177,208],"collection":[16,30],"use":[18,204],"of":[19,51,67,163,200,210],"personal":[20],"data":[21,29,69,189],"quite":[22],"invisible.":[23],"In":[24,95,128],"current":[26],"scenario,":[27],"this":[28],"can":[31,116],"introduce":[32],"risks,":[33],"manipulate":[34],"influence":[36],"decision":[38,155],"making":[39,122,156],"process.":[40,157],"This":[41],"research":[42],"is":[43,181],"based":[44],"on":[45,125],"concepts":[46],"from":[47,121],"an":[48,113,134],"emerging":[49],"field":[50],"study":[52,136],"called":[53],"Human":[54],"Data":[55],"Interaction":[56],"(HDI),":[57],"which":[58,138],"proposes":[59],"to":[60,75,107,142,179,192,218],"include":[61],"human":[63],"at":[64],"center":[66],"stream,":[70],"providing":[71],"mechanisms":[72],"for":[73,90],"citizens":[74],"interact":[76],"explicitly":[77],"collected":[80],"data.":[81,206],"We":[82],"explored":[83],"explanation":[85,180],"as":[86,112],"a":[87,172],"promising":[88],"mechanism":[89],"transparency":[91],"automated":[93],"systems.":[94],"first":[97],"step,":[98,131],"we":[99,132,167],"apply":[100],"Semiotic":[102],"Inspection":[103],"Method":[104],"(SIM)":[105],"longitudinally":[106],"investigate":[108],"how":[109,201],"using":[110],"explanations":[111,146,199,215],"interactive":[114],"feature":[115],"help":[117],"or":[118],"prevent":[119],"decisions":[124],"Google":[126,184],"services.":[127],"second":[130],"conducted":[133],"empirical":[135],"are":[140,147],"able":[141],"analyze":[143],"whether":[144],"these":[145],"satisfactory":[148,198],"feel":[150],"(un)":[151],"secure":[152],"And":[158],"by":[159],"comparing":[160],"results":[162],"two":[165],"steps,":[166],"find":[168],"that":[169],"even":[170],"large":[173],"company":[174],"like":[175],"Google,":[176],"right":[178],"not":[182,186],"guaranteed.":[183],"does":[185,195],"its":[188,202],"processing":[190],"transparent":[191,214],"users,":[193],"nor":[194],"it":[196],"provide":[197],"services":[203],"individual":[205],"Consequently,":[207],"lack":[209],"coherent,":[211],"detailed":[212],"hamper":[216],"good":[220],"safe":[222]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
