{"id":"https://openalex.org/W2057523953","doi":"https://doi.org/10.1145/2702613.2732769","title":"Be Informed and Be Involved","display_name":"Be Informed and Be Involved","publication_year":2015,"publication_date":"2015-04-17","ids":{"openalex":"https://openalex.org/W2057523953","doi":"https://doi.org/10.1145/2702613.2732769","mag":"2057523953"},"language":"en","primary_location":{"id":"doi:10.1145/2702613.2732769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2702613.2732769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Conference Extended Abstracts 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/A5047165067","display_name":"Jianlong Zhou","orcid":"https://orcid.org/0000-0001-6034-644X"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Jianlong Zhou","raw_affiliation_strings":["National ICT Australia, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"National ICT Australia, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061200691","display_name":"Constant Bridon","orcid":null},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Constant Bridon","raw_affiliation_strings":["NICTA &amp; Ecole Normale Sup\u00e9rieure, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"NICTA &amp; Ecole Normale Sup\u00e9rieure, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400043","display_name":"Fang Chen","orcid":"https://orcid.org/0000-0003-4971-8729"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fang Chen","raw_affiliation_strings":["National ICT Australia, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"National ICT Australia, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050604219","display_name":"Ahmad Khawaji","orcid":null},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ahmad Khawaji","raw_affiliation_strings":["National ICT Australia, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"National ICT Australia, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100714578","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0002-6815-0879"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["National ICT Australia, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"National ICT Australia, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I42894916"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047165067"],"corresponding_institution_ids":["https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":2.8229,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90082053,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"127","issue":null,"first_page":"923","last_page":"928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9677000045776367,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7283867597579956},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.7012733221054077},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5256213545799255},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.4983956813812256},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4950050711631775},{"id":"https://openalex.org/keywords/low-confidence","display_name":"Low Confidence","score":0.4761003255844116},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4489877223968506},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4236980974674225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4146210551261902},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32994580268859863},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18260407447814941},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1315147578716278},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10815608501434326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10178452730178833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7283867597579956},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.7012733221054077},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5256213545799255},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.4983956813812256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4950050711631775},{"id":"https://openalex.org/C2909755999","wikidata":"https://www.wikidata.org/wiki/Q4751126","display_name":"Low Confidence","level":2,"score":0.4761003255844116},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4489877223968506},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4236980974674225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4146210551261902},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32994580268859863},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18260407447814941},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1315147578716278},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10815608501434326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10178452730178833},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2702613.2732769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2702613.2732769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318019","display_name":"Asian Office of Aerospace Research and Development","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1996596366","https://openalex.org/W2023481578","https://openalex.org/W2026835018","https://openalex.org/W2049951042","https://openalex.org/W2055482631","https://openalex.org/W2145237064","https://openalex.org/W2998216295","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1608278265","https://openalex.org/W2048990642","https://openalex.org/W2097677915","https://openalex.org/W1186135329","https://openalex.org/W2140011328","https://openalex.org/W1498430983","https://openalex.org/W2342418236","https://openalex.org/W2154641962","https://openalex.org/W2186453640","https://openalex.org/W4389606753"],"abstract_inverted_index":{"User's":[0],"confidence":[1,24,56],"in":[2,25,57,76],"machine":[3],"learning":[4],"(ML)":[5],"based":[6],"decision":[7],"making":[8],"significantly":[9],"affects":[10,22],"acceptability":[11],"of":[12,46],"ML":[13],"techniques.":[14],"In":[15],"this":[16],"work,":[17],"we":[18,42],"investigate":[19],"how":[20],"uncertainty/correlation":[21],"user's":[23],"order":[26],"to":[27],"design":[28],"effective":[29],"user":[30,37],"interface":[31],"for":[32],"ML-based":[33],"intelligent":[34],"systems.":[35],"A":[36],"study":[38],"was":[39],"performed":[40],"and":[41,53],"found":[43],"that":[44],"revealing":[45],"correlation":[47,61,68],"helped":[48,72],"users":[49,73],"better":[50],"understand":[51],"uncertainty":[52,71],"thus":[54],"increased":[55],"model":[58],"output.":[59],"When":[60],"had":[62],"the":[63],"same":[64],"trend":[65],"with":[66],"performance,":[67],"but":[69],"not":[70],"more":[74],"confident":[75],"their":[77],"decisions.":[78]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
