{"id":"https://openalex.org/W3134830229","doi":"https://doi.org/10.1109/tase.2021.3060727","title":"A Personalized Computational Model for Human-Like Automated Decision-Making","display_name":"A Personalized Computational Model for Human-Like Automated Decision-Making","publication_year":2021,"publication_date":"2021-03-05","ids":{"openalex":"https://openalex.org/W3134830229","doi":"https://doi.org/10.1109/tase.2021.3060727","mag":"3134830229"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2021.3060727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2021.3060727","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-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/A5053974840","display_name":"Longsheng Jiang","orcid":"https://orcid.org/0000-0002-6458-6886"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Longsheng Jiang","raw_affiliation_strings":["Department of Mechanical Engineering, Clemson University, Clemson, SC, USA"],"raw_orcid":"https://orcid.org/0000-0002-6458-6886","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372089","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0003-0146-7262"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Department of Mechanical Engineering, Clemson University, Clemson, SC, USA"],"raw_orcid":"https://orcid.org/0000-0003-0146-7262","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":2.4563,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87974434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"2","first_page":"850","last_page":"863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.998199999332428,"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":0.998199999332428,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9853000044822693,"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":0.9787999987602234,"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/regret","display_name":"Regret","score":0.8486880660057068},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7271877527236938},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6241613030433655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5634220838546753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5468723773956299},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5436928868293762},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4485347867012024},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42870327830314636},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.41861429810523987},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.41313791275024414},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3354828953742981},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2038412094116211},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1822233498096466},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1393110454082489}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8486880660057068},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7271877527236938},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6241613030433655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5634220838546753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5468723773956299},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5436928868293762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4485347867012024},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42870327830314636},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.41861429810523987},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.41313791275024414},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3354828953742981},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2038412094116211},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1822233498096466},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1393110454082489},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace 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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2021.3060727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2021.3060727","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2989111456","display_name":"CAREER: Cooperative Control and Decision-Making for Human-Agent Collaborative Teams","funder_award_id":"1454139","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1978088356","https://openalex.org/W1995110821","https://openalex.org/W1998466812","https://openalex.org/W2017563734","https://openalex.org/W2027859116","https://openalex.org/W2030584372","https://openalex.org/W2032521963","https://openalex.org/W2037444091","https://openalex.org/W2040689732","https://openalex.org/W2041032079","https://openalex.org/W2042223112","https://openalex.org/W2086207208","https://openalex.org/W2086361652","https://openalex.org/W2088314982","https://openalex.org/W2097998348","https://openalex.org/W2099161251","https://openalex.org/W2114396781","https://openalex.org/W2123856966","https://openalex.org/W2124524612","https://openalex.org/W2139359806","https://openalex.org/W2149000591","https://openalex.org/W2155513791","https://openalex.org/W2325452820","https://openalex.org/W2339027962","https://openalex.org/W2467446702","https://openalex.org/W2509719238","https://openalex.org/W2585206336","https://openalex.org/W2592002913","https://openalex.org/W2619047957","https://openalex.org/W2734983326","https://openalex.org/W2735318784","https://openalex.org/W2789023740","https://openalex.org/W2886193717","https://openalex.org/W2937524244","https://openalex.org/W2964005199","https://openalex.org/W2967896043","https://openalex.org/W2996872246","https://openalex.org/W3011865677","https://openalex.org/W3105200428","https://openalex.org/W3124490798","https://openalex.org/W4251225685","https://openalex.org/W6674385629","https://openalex.org/W6761108366","https://openalex.org/W6763211672"],"related_works":["https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2101991911","https://openalex.org/W2174986909","https://openalex.org/W3165413239","https://openalex.org/W3205513966","https://openalex.org/W2052971528","https://openalex.org/W3120459843","https://openalex.org/W4366547574","https://openalex.org/W3200191727"],"abstract_inverted_index":{"We":[0,302,314,336,346],"propose":[1,297],"a":[2,15,45,64,69,91,237,240,243,262,298],"computational":[3],"model":[4,48,62,99,119,129,171,355],"for":[5,226,374],"enabling":[6],"robots":[7,185],"to":[8,49,73,89,136,174,201,224,239,252,318,341],"automatically":[9],"make":[10],"decisions":[11,150,156],"under":[12,21,312],"risk":[13,22],"in":[14,111,177,190,203,277,293,379],"human-like":[16,299,325,362,376],"way.":[17],"Human":[18],"decision-making":[19,232],"(DM)":[20,233],"is":[23,100,130,133,172,182,245,264,359],"influenced":[24],"by":[25,161],"psychological":[26,52,107,306],"effects,":[27,30,33],"including":[28],"regret":[29,41],"probability":[31],"weighting":[32],"and":[34,67,186,192,221,356,387,395],"range":[35],"effects.":[36,53],"On":[37,123],"the":[38,57,61,95,106,118,125,137,141,155,162,166,214,229,248,259,268,272,280,305,319,323,329,332,339,348,352,364],"basis":[39],"of":[40,94,109,117,127,140,169,231,235,261,282,322,331,351],"theory,":[42],"we":[43,59,296],"devise":[44],"mathematical":[46,324],"DM":[47,249,284,300,311,326,354,366,377],"encompass":[50],"these":[51,316,343],"To":[54],"further":[55],"quantify":[56],"model,":[58],"cast":[60],"into":[63],"state-space":[65],"representation":[66],"design":[68,338],"fuzzy":[70],"logic":[71],"controller":[72],"obtain":[74],"desired":[75],"preference":[76],"data":[77,83],"from":[78,84],"individual":[79,86],"decision":[80],"makers.":[81],"The":[82,97,114,368],"each":[85],"were":[87,158],"used":[88,373],"train":[90],"personalized":[92],"instance":[93],"model.":[96,301,327],"resulting":[98],"quantitative.":[101],"It":[102,255],"sheds":[103],"light":[104],"on":[105],"mechanism":[108],"risk-attitudes":[110],"human":[112,206,244,283,310],"DM.":[113],"prediction":[115,349],"accuracy":[116,126,139,168,350],"was":[120,256],"statistically":[121],"tested.":[122],"average,":[124],"our":[128,170],"74.7%,":[131],"which":[132],"significantly":[134,360],"close":[135],"average":[138,167],"subjects":[142,163],"when":[143,153,266],"they":[144],"repeated":[145,159],"their":[146],"own":[147],"previously":[148],"made":[149],"(73.3%).":[151],"Furthermore,":[152],"only":[154],"that":[157,258,308,381],"consistently":[160],"are":[164,188,198,209,222,334],"examined,":[165],"86.6%.Note":[173],"Practitioners\u2014Task":[175],"allocation":[176],"human\u2013robot":[178],"collaboration":[179],"(HRC)":[180],"systems":[181,216],"challenging":[183],"because":[184],"humans":[187,202,386],"heterogeneous":[189],"advantages":[191],"drawbacks.":[193],"Robots,":[194],"despite":[195],"recent":[196],"development,":[197],"not":[199],"comparable":[200],"reliability.":[204],"However,":[205,328],"working":[207],"hours":[208],"generally":[210],"more":[211,361],"expensive.":[212],"When":[213],"HRC":[215],"have":[217],"high":[218],"robot-to-human":[219],"ratios":[220],"required":[223],"work":[225],"long":[227],"periods,":[228],"amount":[230],"problems":[234],"assigning":[236],"task":[238],"robot":[241],"or":[242],"enormous.":[246],"Hence,":[247],"process":[250],"needs":[251],"be":[253,286,372],"automated.":[254],"found":[257],"performance":[260],"team":[263,269],"improved":[265],"all":[267],"members":[270],"share":[271],"same":[273],"mental":[274],"models.":[275],"Therefore,":[276],"human-centered":[278],"automation,":[279],"characteristics":[281],"should":[285],"shared":[287],"with":[288],"robots.":[289],"For":[290],"this":[291,294],"purpose,":[292],"article":[295],"first":[303],"discuss":[304],"effects":[307,317],"influence":[309],"risk.":[313],"transfer":[315],"building":[320],"components":[321,333,344],"details":[330],"undetermined.":[335],"then":[337],"algorithms":[340,370],"measure":[342],"quantitatively.":[345],"test":[347],"automated":[353],"show":[357],"it":[358],"than":[363],"traditional":[365],"method.":[367],"proposed":[369],"can":[371],"designing":[375],"models":[378],"applications":[380],"involve":[382],"allocating":[383],"tasks":[384],"between":[385],"robots,":[388],"such":[389],"as":[390],"collaborative":[391,393],"search,":[392],"assembly,":[394],"so":[396],"on.":[397]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}