{"id":"https://openalex.org/W7153776370","doi":"https://doi.org/10.1145/3772363.3798594","title":"Two Bots, One Couple: How Surrogate LLM Agents Shape Alliance, Fairness, and Relational Boundaries","display_name":"Two Bots, One Couple: How Surrogate LLM Agents Shape Alliance, Fairness, and Relational Boundaries","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7153776370","doi":"https://doi.org/10.1145/3772363.3798594"},"language":null,"primary_location":{"id":"doi:10.1145/3772363.3798594","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3772363.3798594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference 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/A5133448935","display_name":"Yibo Zhang","orcid":"https://orcid.org/0009-0001-7677-5473"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yibo Zhang","raw_affiliation_strings":["Department of Visual Communication Design, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0001-7677-5473","affiliations":[{"raw_affiliation_string":"Department of Visual Communication Design, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133454081","display_name":"Zhiqiang Hou","orcid":"https://orcid.org/0009-0007-1562-4966"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zhiqiang Hou","raw_affiliation_strings":["Department of Visual Communication Design, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0007-1562-4966","affiliations":[{"raw_affiliation_string":"Department of Visual Communication Design, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jianghuai Shao","orcid":"https://orcid.org/0009-0007-4536-3875"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jianghuai Shao","raw_affiliation_strings":["Department of Visual Communication Design, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0007-4536-3875","affiliations":[{"raw_affiliation_string":"Department of Visual Communication Design, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5133448935"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83772068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.2703000009059906,"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"}},"topics":[{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.2703000009059906,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.10620000213384628,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.06419999897480011,"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/set","display_name":"Set (abstract data type)","score":0.3149000108242035},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2800000011920929},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.26989999413490295},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.2651999890804291},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.26460000872612},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.26159998774528503}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4772000014781952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.439300000667572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3203999996185303},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26739999651908875},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2506999969482422},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3772363.3798594","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3772363.3798594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.41797417402267456,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1985945240","https://openalex.org/W1991015565","https://openalex.org/W2898791345","https://openalex.org/W2916904544","https://openalex.org/W2942465698","https://openalex.org/W2985781965","https://openalex.org/W3003802619","https://openalex.org/W3013998503","https://openalex.org/W3094169698","https://openalex.org/W3158465421","https://openalex.org/W3205604488","https://openalex.org/W4365999093","https://openalex.org/W4389913593","https://openalex.org/W4400142572","https://openalex.org/W4402223212","https://openalex.org/W4412406576"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2026-04-13T00:00:00"}
