{"id":"https://openalex.org/W4407900978","doi":"https://doi.org/10.1109/coginfocom63007.2024.10894715","title":"Impact of Rewarding and Punitive Behaviors on Robot-Induced Human Actions","display_name":"Impact of Rewarding and Punitive Behaviors on Robot-Induced Human Actions","publication_year":2024,"publication_date":"2024-09-16","ids":{"openalex":"https://openalex.org/W4407900978","doi":"https://doi.org/10.1109/coginfocom63007.2024.10894715"},"language":"en","primary_location":{"id":"doi:10.1109/coginfocom63007.2024.10894715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom63007.2024.10894715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 15th International Conference on Cognitive Infocommunications (CogInfoCom)","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/A5037055101","display_name":"Otono Uchikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I96679780","display_name":"Chuo University","ror":"https://ror.org/03qvqb743","country_code":"JP","type":"education","lineage":["https://openalex.org/I96679780"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Otono Uchikawa","raw_affiliation_strings":["Chuo University,Department of Precision Mechanics,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Chuo University,Department of Precision Mechanics,Tokyo,Japan","institution_ids":["https://openalex.org/I96679780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023242375","display_name":"Mihoko Niitsuma","orcid":"https://orcid.org/0009-0008-3800-7319"},"institutions":[{"id":"https://openalex.org/I96679780","display_name":"Chuo University","ror":"https://ror.org/03qvqb743","country_code":"JP","type":"education","lineage":["https://openalex.org/I96679780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mihoko Niitsuma","raw_affiliation_strings":["Chuo University,Department of Precision Mechanics,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Chuo University,Department of Precision Mechanics,Tokyo,Japan","institution_ids":["https://openalex.org/I96679780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037055101"],"corresponding_institution_ids":["https://openalex.org/I96679780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35274953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"000253","last_page":"000258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.8446999788284302,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.8446999788284302,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/punitive-damages","display_name":"Punitive damages","score":0.9361057281494141},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.5680112838745117},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5651060938835144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5408821702003479},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3418358564376831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2562030255794525},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08775967359542847},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.07660031318664551}],"concepts":[{"id":"https://openalex.org/C83645499","wikidata":"https://www.wikidata.org/wiki/Q285466","display_name":"Punitive damages","level":2,"score":0.9361057281494141},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.5680112838745117},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5651060938835144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5408821702003479},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3418358564376831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2562030255794525},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08775967359542847},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.07660031318664551}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coginfocom63007.2024.10894715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom63007.2024.10894715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 15th International Conference on Cognitive Infocommunications (CogInfoCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1539896512","https://openalex.org/W1883766898","https://openalex.org/W1987900808","https://openalex.org/W2053486845","https://openalex.org/W2118605853","https://openalex.org/W2495266147","https://openalex.org/W3024986522","https://openalex.org/W3094408940","https://openalex.org/W4212892164","https://openalex.org/W4293094747","https://openalex.org/W6632278170"],"related_works":["https://openalex.org/W2978665606","https://openalex.org/W4287179229","https://openalex.org/W3205513966","https://openalex.org/W3120459843","https://openalex.org/W4366547574","https://openalex.org/W3200191727","https://openalex.org/W189465620","https://openalex.org/W4366818884","https://openalex.org/W2248308732","https://openalex.org/W4392651289"],"abstract_inverted_index":{"This":[0],"study":[1,16],"examines":[2],"the":[3,18,43,50,68,76,117],"persuasive":[4],"effects":[5],"of":[6,47,95,119,124],"rewarding":[7,23,96],"and":[8,30,45,72,97],"punitive":[9,31,98],"behaviors":[10,106],"in":[11,103,126],"social":[12,57],"robots.":[13],"In":[14],"this":[15],"using":[17,108],"Pepper":[19],"robot,":[20],"we":[21],"defined":[22],"behavior":[24,32,44],"as":[25,33],"actions":[26,34],"expressing":[27,35],"positive":[28,111],"empathy,":[29],"negative":[36,87],"empathy.":[37],"These":[38],"definitions":[39],"are":[40],"specific":[41],"to":[42,55,78],"capabilities":[46],"Pepper,":[48],"but":[49],"concepts":[51],"can":[52],"be":[53],"generalized":[54],"other":[56],"robots":[58,90],"with":[59,85],"similar":[60],"functionalities.":[61],"Our":[62],"novel":[63],"persuasion":[64],"model,":[65],"guided":[66],"by":[67],"Elaboration":[69],"Likelihood":[70],"Model":[71],"balance":[73],"theory,":[74],"allows":[75],"robot":[77],"autonomously":[79],"select":[80],"behaviors.":[81],"Experiments":[82],"involving":[83],"participants":[84],"strong":[86],"attitudes":[88],"towards":[89],"demonstrated":[91],"that":[92],"a":[93,110],"combination":[94],"strategies":[99],"is":[100],"more":[101],"effective":[102,127],"eliciting":[104],"desired":[105],"than":[107],"only":[109],"attitude":[112],"strategy":[113],"alone.":[114],"Results":[115],"emphasize":[116],"importance":[118],"emotional":[120],"expression,":[121],"particularly":[122],"tone":[123],"voice,":[125],"human-robot":[128],"interaction.":[129]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
