{"id":"https://openalex.org/W7140222253","doi":"https://doi.org/10.48550/arxiv.2603.21682","title":"RESPOND: Responsive Engagement Strategy for Predictive Orchestration and Dialogue","display_name":"RESPOND: Responsive Engagement Strategy for Predictive Orchestration and Dialogue","publication_year":2026,"publication_date":"2026-03-23","ids":{"openalex":"https://openalex.org/W7140222253","doi":"https://doi.org/10.48550/arxiv.2603.21682"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.21682","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21682","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.21682","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lee, Meng-Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lee, Meng-Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Panay, Costas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panay, Costas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hernandez, Javier","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hernandez, Javier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Andrist, Sean","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrist, Sean","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Bohus, Dan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bohus, Dan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Churikov, Anatoly","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Churikov, Anatoly","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Wilson, Andrew D.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wilson, Andrew D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.2874000072479248,"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":0.2874000072479248,"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/T12128","display_name":"AI in Service Interactions","score":0.2328999936580658,"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/T12031","display_name":"Speech and dialogue systems","score":0.13670000433921814,"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/orchestration","display_name":"Orchestration","score":0.8303999900817871},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.6945000290870667},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4284000098705292},{"id":"https://openalex.org/keywords/conversation-analysis","display_name":"Conversation analysis","score":0.4198000133037567},{"id":"https://openalex.org/keywords/affordance","display_name":"Affordance","score":0.40860000252723694},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.40149998664855957},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.34299999475479126},{"id":"https://openalex.org/keywords/clarity","display_name":"CLARITY","score":0.3375000059604645},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.31929999589920044}],"concepts":[{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.8303999900817871},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6945000290870667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6237000226974487},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5264000296592712},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.42660000920295715},{"id":"https://openalex.org/C2780829048","wikidata":"https://www.wikidata.org/wiki/Q1624720","display_name":"Conversation analysis","level":3,"score":0.4198000133037567},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.40860000252723694},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.33559998869895935},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.31929999589920044},{"id":"https://openalex.org/C151799412","wikidata":"https://www.wikidata.org/wiki/Q920550","display_name":"Assertiveness","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C2776352735","wikidata":"https://www.wikidata.org/wiki/Q2313343","display_name":"Turn-taking","level":3,"score":0.30489999055862427},{"id":"https://openalex.org/C2781265381","wikidata":"https://www.wikidata.org/wiki/Q5710255","display_name":"Helpfulness","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C164850336","wikidata":"https://www.wikidata.org/wiki/Q3685487","display_name":"Interpersonal communication","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.27900001406669617},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.2775999903678894},{"id":"https://openalex.org/C60083737","wikidata":"https://www.wikidata.org/wiki/Q188907","display_name":"Etiquette","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C2983409430","wikidata":"https://www.wikidata.org/wiki/Q7935065","display_name":"Virtual agent","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C2984870255","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"User engagement","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.21682","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21682","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.21682","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21682","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"majority":[1],"of":[2,34,95,104,114,149],"voice-based":[3],"conversational":[4,57,136,141],"agents":[5,137],"still":[6],"rely":[7],"on":[8,60],"pause-and-respond":[9],"turn-taking,":[10],"leaving":[11],"interactions":[12],"sounding":[13],"stiff":[14],"and":[15,26,43,66,74,97,102,152],"robotic.":[16],"We":[17],"present":[18],"RESPOND":[19,69,130],"(Responsive":[20],"Engagement":[21],"Strategy":[22],"for":[23],"Predictive":[24],"Orchestration":[25],"Dialogue),":[27],"a":[28,132],"framework":[29],"that":[30,47,138],"brings":[31],"two":[32,89],"staples":[33],"human":[35],"conversation":[36],"to":[37,76,110,120,143],"agents:":[38],"timely":[39],"backchannels":[40],"(\"mm-hmm,\"":[41],"\"right\")":[42],"proactive":[44],"turn":[45],"claims":[46],"can":[48,107],"contribute":[49],"relevant":[50],"content":[51],"before":[52],"the":[53,56,112,147],"speaker":[54],"yields":[55],"floor.":[58],"Built":[59],"streaming":[61],"ASR":[62],"(Automatic":[63],"Speech":[64],"Recognition)":[65],"incremental":[67],"semantics,":[68],"continuously":[70],"predicts":[71],"both":[72],"when":[73],"how":[75],"interject,":[77],"enabling":[78],"fluid,":[79],"listener-aware":[80],"dialogue.":[81],"A":[82],"defining":[83],"feature":[84],"is":[85],"its":[86],"designer-facing":[87],"controllability:":[88],"orthogonal":[90],"dials,":[91],"Backchannel":[92],"Intensity":[93],"(frequency":[94],"acknowledgments)":[96],"Turn":[98],"Claim":[99],"Aggressiveness":[100],"(depth":[101],"assertiveness":[103],"early":[105],"contributions),":[106],"be":[108],"tuned":[109],"match":[111],"etiquette":[113],"contexts":[115],"ranging":[116],"from":[117],"rapid":[118],"ideation":[119],"reflective":[121],"counseling.":[122],"By":[123],"coupling":[124],"predictive":[125],"orchestration":[126],"with":[127],"explicit":[128],"control,":[129],"offers":[131],"practical":[133],"path":[134],"toward":[135],"adapt":[139],"their":[140],"footprint":[142],"social":[144],"expectations,":[145],"advancing":[146],"design":[148],"more":[150],"natural":[151],"engaging":[153],"voice":[154],"interfaces.":[155]},"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2026-03-25T00:00:00"}
