{"id":"https://openalex.org/W4323537035","doi":"https://doi.org/10.1145/3568294.3580101","title":"How Sequential Suggestions from a Robot and Human Jury Influence Decision Making","display_name":"How Sequential Suggestions from a Robot and Human Jury Influence Decision Making","publication_year":2023,"publication_date":"2023-03-08","ids":{"openalex":"https://openalex.org/W4323537035","doi":"https://doi.org/10.1145/3568294.3580101"},"language":"en","primary_location":{"id":"doi:10.1145/3568294.3580101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3568294.3580101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2023 ACM/IEEE International Conference on Human-Robot 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/A5101814464","display_name":"Yugo Hayashi","orcid":"https://orcid.org/0000-0003-2438-3109"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yugo Hayashi","raw_affiliation_strings":["Ritsumeikan University, Ibaraki, Japan"],"raw_orcid":"https://orcid.org/0000-0003-2438-3109","affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Ibaraki, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044928892","display_name":"Kosuke Wakabayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kosuke Wakabayashi","raw_affiliation_strings":["Ritsumeikan University, Ibaraki, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5662-3272","affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Ibaraki, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081524940","display_name":"Y. Nishida","orcid":"https://orcid.org/0000-0003-3818-8945"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Nishida","raw_affiliation_strings":["Ritsumeikan University, Kusatsu, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3818-8945","affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3049,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57800312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"338","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12268","display_name":"Deception detection and forensic psychology","score":0.996399998664856,"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/T12268","display_name":"Deception detection and forensic psychology","score":0.996399998664856,"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/T13583","display_name":"Jury Decision Making Processes","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9904999732971191,"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/robot","display_name":"Robot","score":0.7323766946792603},{"id":"https://openalex.org/keywords/jury","display_name":"Jury","score":0.7302032709121704},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6599106788635254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5350042581558228},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.47419649362564087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4725372791290283},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4718256890773773},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.4519512355327606},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43042299151420593},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.33975276350975037},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.32419008016586304},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26496267318725586},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10833993554115295},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.0811716616153717}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7323766946792603},{"id":"https://openalex.org/C2776119841","wikidata":"https://www.wikidata.org/wiki/Q837675","display_name":"Jury","level":2,"score":0.7302032709121704},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6599106788635254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5350042581558228},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.47419649362564087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4725372791290283},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4718256890773773},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.4519512355327606},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43042299151420593},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33975276350975037},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.32419008016586304},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26496267318725586},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10833993554115295},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0811716616153717},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3568294.3580101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3568294.3580101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W245832809","https://openalex.org/W1967880962","https://openalex.org/W2150510587","https://openalex.org/W2588822410","https://openalex.org/W2793517924","https://openalex.org/W2935112836","https://openalex.org/W3014628930","https://openalex.org/W3121497648","https://openalex.org/W4408534039"],"related_works":["https://openalex.org/W1604888609","https://openalex.org/W1893135669","https://openalex.org/W102422338","https://openalex.org/W1539088044","https://openalex.org/W3123840783","https://openalex.org/W4247363557","https://openalex.org/W2353193034","https://openalex.org/W3124390158","https://openalex.org/W2376887510","https://openalex.org/W2384229022"],"abstract_inverted_index":{"There":[0],"have":[1],"been":[2],"discussions":[3],"on":[4,27,33,171],"using":[5,179,193],"robots":[6,180,194],"to":[7,20,105,108,189],"provide":[8],"suggestions":[9,36,65],"for":[10],"decision":[11,28,46,80,123,177],"making":[12,47,81,178],"in":[13,51,71,183,195],"mixed":[14,185],"jury-systems.":[15],"Hence,":[16],"it":[17],"is":[18],"vital":[19],"investigate":[21],"the":[22,45,59,94,114,145,154,157,172,190],"influence":[23,79,122,176],"of":[24,48,62,64,113,156,192],"system":[25,69],"interventions":[26],"making.":[29,124],"This":[30,167],"study":[31],"focused":[32],"how":[34],"such":[35,92],"from":[37],"a":[38,49,52,72,75,84,132,184],"robot":[39,73],"and":[40,74,110,187],"an":[41,67,137],"expert":[42,77],"human":[43,76,133],"influenced":[44,152],"sentence":[50,115],"court":[53],"judgment":[54],"task.":[55],"We":[56],"hypothesized":[57],"that":[58,120,128,174],"sequential":[60,102],"pattern":[61],"presentation":[63],"by":[66,153],"AI":[68,138],"installed":[70],"would":[78,121],"performance.":[82],"In":[83],"large-scale":[85],"online":[86],"experiment,":[87],"we":[88],"investigated":[89],"several":[90],"factors,":[91],"as":[93,181],"(a)":[95],"adviser":[96],"type":[97],"(AI(Robot)":[98],"or":[99,117],"Human),":[100],"(b)":[101],"order":[103],"(AI":[104],"Human,":[106],"Human":[107],"AI),":[109],"(c)":[111],"length":[112,155],"(3":[116],"7":[118],"years)":[119],"The":[125],"results":[126],"showed":[127],"when":[129,160],"presented":[130,161],"with":[131,162],"expert's":[134],"suggestion,":[135,158],"after":[136],"decision,":[139],"participants":[140],"were":[141,151],"more":[142],"biased":[143],"towards":[144],"human's":[146],"suggestion.":[147],"Moreover,":[148],"participants'":[149],"decisions":[150],"especially":[159],"heavy":[163],"lengths":[164],"(seven":[165],"years).":[166],"provides":[168],"new":[169],"implications":[170],"factors":[173],"may":[175],"tools":[182],"jury-system":[186],"contributes":[188],"notion":[191],"courts.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
