{"id":"https://openalex.org/W2215157235","doi":"https://doi.org/10.1145/2838739.2838753","title":"Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making","display_name":"Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making","publication_year":2015,"publication_date":"2015-12-07","ids":{"openalex":"https://openalex.org/W2215157235","doi":"https://doi.org/10.1145/2838739.2838753","mag":"2215157235"},"language":"en","primary_location":{"id":"doi:10.1145/2838739.2838753","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2838739.2838753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction","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/A5110842212","display_name":"Syed Z. Arshad","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"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":"Syed Z. Arshad","raw_affiliation_strings":["School of Computer Science & Engineering, University of New South Wales, Kensington, Sydney and NICTA, Australian Technology Park, Eveleigh, NSW"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, University of New South Wales, Kensington, Sydney and NICTA, Australian Technology Park, Eveleigh, NSW","institution_ids":["https://openalex.org/I31746571","https://openalex.org/I42894916"]}]},{"author_position":"middle","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":false,"raw_author_name":"Jianlong Zhou","raw_affiliation_strings":["NICTA, Australian Technology Park, Eveleigh, NSW"],"affiliations":[{"raw_affiliation_string":"NICTA, Australian Technology Park, Eveleigh, NSW","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, Australian Technology Park, Eveleigh, NSW"],"affiliations":[{"raw_affiliation_string":"NICTA, Australian Technology Park, Eveleigh, NSW","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":["NICTA, Australian Technology Park, Eveleigh, NSW"],"affiliations":[{"raw_affiliation_string":"NICTA, Australian Technology Park, Eveleigh, NSW","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":["NICTA, Australian Technology Park, Eveleigh, NSW"],"affiliations":[{"raw_affiliation_string":"NICTA, Australian Technology Park, Eveleigh, NSW","institution_ids":["https://openalex.org/I42894916"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110842212"],"corresponding_institution_ids":["https://openalex.org/I31746571","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":2.4037,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.89657847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"352","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9811000227928162,"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"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9811000227928162,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9761000275611877,"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/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"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":0.6876592636108398},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6569321155548096},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5676672458648682},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5297989249229431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4937509000301361},{"id":"https://openalex.org/keywords/low-confidence","display_name":"Low Confidence","score":0.486827552318573},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.463633269071579},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.42646270990371704},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1930634081363678},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15492045879364014},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14349111914634705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12803977727890015},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.07154890894889832}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6876592636108398},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6569321155548096},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5676672458648682},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5297989249229431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4937509000301361},{"id":"https://openalex.org/C2909755999","wikidata":"https://www.wikidata.org/wiki/Q4751126","display_name":"Low Confidence","level":2,"score":0.486827552318573},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.463633269071579},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.42646270990371704},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1930634081363678},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15492045879364014},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14349111914634705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12803977727890015},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.07154890894889832},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2838739.2838753","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2838739.2838753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W158727920","https://openalex.org/W1565290342","https://openalex.org/W1569990498","https://openalex.org/W1720684243","https://openalex.org/W1988706006","https://openalex.org/W1992091432","https://openalex.org/W1996596366","https://openalex.org/W2001116638","https://openalex.org/W2001557538","https://openalex.org/W2004822008","https://openalex.org/W2006165972","https://openalex.org/W2026835018","https://openalex.org/W2031809677","https://openalex.org/W2074459735","https://openalex.org/W2092358796","https://openalex.org/W2101518352","https://openalex.org/W2102449439","https://openalex.org/W2104346961","https://openalex.org/W2107247053","https://openalex.org/W2133469585","https://openalex.org/W2136813180","https://openalex.org/W2158368498","https://openalex.org/W3011865677","https://openalex.org/W4292157289","https://openalex.org/W6650692265"],"related_works":["https://openalex.org/W4387426029","https://openalex.org/W4254162896","https://openalex.org/W2107436600","https://openalex.org/W2583038493","https://openalex.org/W2091342754","https://openalex.org/W2887795213","https://openalex.org/W3100634496","https://openalex.org/W3023833896","https://openalex.org/W2002055233","https://openalex.org/W2134318462"],"abstract_inverted_index":{"Machine":[0],"Learning":[1],"(ML)":[2],"based":[3,56],"decision":[4,23,57,112,157],"support":[5],"systems":[6],"are":[7],"often":[8],"like":[9],"a":[10],"black":[11],"box":[12],"to":[13,83,152,162],"non-expert":[14],"users.":[15],"Here":[16],"user's":[17,156],"confidence":[18,35,50,91,109,159],"becomes":[19],"critical":[20],"for":[21],"effective":[22],"making":[24,158],"and":[25,73,87,134],"maintaining":[26],"trust":[27],"in":[28,48,92,110,165],"the":[29,52,96],"system.":[30],"We":[31,45],"find":[32,74],"that":[33,75,103],"user":[34,49,90,108],"varies":[36],"significantly":[37],"depending":[38],"on":[39,43],"supplementary":[40],"material":[41],"presented":[42,64,164],"screen.":[44],"investigate":[46],"change":[47],"(in":[51,65],"context":[53],"of":[54,62,95,155],"ML":[55],"making)":[58],"by":[59],"varying":[60],"level":[61],"uncertainty":[63,81,105,122,141,163],"an":[66,149],"online":[67],"water-pipe":[68],"failure":[69],"prediction":[70],"case":[71],"study)":[72],"all":[76,145],"26":[77],"subjects":[78],"rated":[79],"higher":[80],"task":[82],"be":[84],"most":[85,119,138],"difficult":[86],"had":[88],"lowest":[89],"predictive":[93,111],"decisions":[94],"same.":[97],"This":[98,147],"agrees":[99],"with":[100,123,160],"our":[101],"expectation":[102],"increased":[104],"would":[106],"reduce":[107],"making.":[113],"However,":[114],"ML-researchers":[115],"subgroup":[116],"reported":[117],"being":[118],"confident":[120,139],"when":[121,140],"known":[124],"probability":[125],"was":[126,142],"presented,":[127],"whereas":[128],"other":[129],"subgroups":[130],"(viz.":[131],"general":[132],"staff":[133],"non-ML":[135],"researchers)":[136],"appeared":[137],"not":[143],"at":[144],"presented.":[146],"is":[148],"original":[150],"research":[151],"improve":[153],"understanding":[154],"respect":[161],"machine":[166],"learning":[167],"context.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"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"}