{"id":"https://openalex.org/W7155029511","doi":"https://doi.org/10.48550/arxiv.2604.18375","title":"IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters","display_name":"IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7155029511","doi":"https://doi.org/10.48550/arxiv.2604.18375"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.18375","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18375","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.18375","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134117200","display_name":"Hongwei Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Hongwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134187994","display_name":"Weiqi Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Weiqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101849968","display_name":"Zhengjia Wang","orcid":"https://orcid.org/0000-0001-5629-1116"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhengjia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091346080","display_name":"Guanyu Jiang","orcid":"https://orcid.org/0009-0005-4921-2762"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Guanyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134106753","display_name":"Haoming Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Haoming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134110306","display_name":"Tianyu Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Tianyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134179587","display_name":"Yongchun Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Yongchun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022678604","display_name":"Jingwu Chen","orcid":"https://orcid.org/0000-0002-7165-3338"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jingwu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134202512","display_name":"Feng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.6306999921798706,"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":0.6306999921798706,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.050700001418590546,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.048500001430511475,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.866100013256073},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6182000041007996},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.607200026512146},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5878999829292297},{"id":"https://openalex.org/keywords/conversation-analysis","display_name":"Conversation analysis","score":0.5412999987602234},{"id":"https://openalex.org/keywords/turn-taking","display_name":"Turn-taking","score":0.4602000117301941},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4526999890804291}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.866100013256073},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6697999835014343},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6182000041007996},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.607200026512146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5981000065803528},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5878999829292297},{"id":"https://openalex.org/C2780829048","wikidata":"https://www.wikidata.org/wiki/Q1624720","display_name":"Conversation analysis","level":3,"score":0.5412999987602234},{"id":"https://openalex.org/C2776352735","wikidata":"https://www.wikidata.org/wiki/Q2313343","display_name":"Turn-taking","level":3,"score":0.4602000117301941},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4526999890804291},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3804999887943268},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.3273000121116638},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28859999775886536},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.18375","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18375","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.18375","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18375","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Conversational":[0],"agents,":[1],"such":[2],"as":[3,121],"ChatGPT":[4],"and":[5,139,152,180,185],"Doubao,":[6],"have":[7,52],"become":[8],"essential":[9],"daily":[10],"assistants":[11],"for":[12],"billions":[13],"of":[14,164],"users.":[15],"To":[16,72,109],"further":[17],"enhance":[18],"engagement,":[19],"these":[20],"systems":[21],"are":[22],"evolving":[23],"from":[24,132],"passive":[25],"responders":[26],"to":[27,83,135,156],"proactive":[28],"companions.":[29],"However,":[30,88],"existing":[31],"efforts":[32],"focus":[33],"on":[34,162],"activation":[35],"within":[36],"ongoing":[37],"dialogues,":[38],"while":[39],"overlooking":[40],"a":[41,53,62,102,122,153],"key":[42],"real-world":[43],"bottleneck.":[44],"In":[45],"the":[46,66,96,165],"conversation":[47,67],"initiation":[48,98],"stage,":[49],"users":[50,85],"may":[51],"vague":[54],"need":[55],"but":[56],"no":[57],"explicit":[58,106],"query":[59],"intent,":[60],"creating":[61],"first-message":[63],"barrier":[64],"where":[65,92],"holds":[68],"before":[69],"it":[70],"begins.":[71],"overcome":[73],"this,":[74],"we":[75,114],"introduce":[76],"Conversation":[77],"Starter":[78,145],"Generation:":[79],"generating":[80],"personalized":[81,149],"starters":[82],"guide":[84],"into":[86],"conversation.":[87],"unlike":[89],"in-conversation":[90],"stages":[91],"immediate":[93],"context":[94],"guides":[95],"response,":[97],"must":[99],"operate":[100],"in":[101,111,189],"cold-start":[103],"moment":[104],"without":[105],"user":[107,175],"intent.":[108],"pioneer":[110],"this":[112],"direction,":[113],"present":[115],"IceBreaker":[116,173],"that":[117,172],"frames":[118],"human":[119],"ice-breaking":[120],"two-step":[123],"handshake:":[124],"(i)":[125],"evoke":[126],"resonance":[127],"via":[128,143],"Resonance-Aware":[129],"Interest":[130],"Distillation":[131],"session":[133],"summaries":[134],"capture":[136],"trigger":[137],"interests,":[138],"(ii)":[140],"stimulate":[141],"interaction":[142],"Interaction-Oriented":[144],"Generation,":[146],"optimized":[147],"with":[148],"preference":[150],"alignment":[151],"self-reinforced":[154],"loop":[155],"maximize":[157],"engagement.":[158],"Online":[159],"A/B":[160],"tests":[161],"one":[163],"world's":[166],"largest":[167],"conversational":[168],"agent":[169],"products":[170],"show":[171],"improves":[174],"active":[176],"days":[177],"by":[178,183],"+0.184%":[179],"click-through":[181],"rate":[182],"+9.425%,":[184],"has":[186],"been":[187],"deployed":[188],"production.":[190]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-22T00:00:00"}
