{"id":"https://openalex.org/W7160959330","doi":"https://doi.org/10.48550/arxiv.2605.09971","title":"HapticLDM: A Diffusion Model for Text-to-Vibrotactile Generation","display_name":"HapticLDM: A Diffusion Model for Text-to-Vibrotactile Generation","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7160959330","doi":"https://doi.org/10.48550/arxiv.2605.09971"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.09971","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09971","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.09971","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135915110","display_name":"Jiahao Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiong, Jiahao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135955889","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0001-5131-2520"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Fei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069259311","display_name":"Anran Xu","orcid":"https://orcid.org/0000-0003-1790-7859"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Anran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135957743","display_name":"Pinzhi Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Pinzhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135988249","display_name":"Tao Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053918463","display_name":"Lijia Pan","orcid":"https://orcid.org/0000-0002-8917-7843"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Lijia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135992359","display_name":"Cai Chen","orcid":"https://orcid.org/0000-0002-0167-1397"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Cai","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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.0024999999441206455,"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/T11687","display_name":"Teleoperation and Haptic Systems","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6110000014305115},{"id":"https://openalex.org/keywords/haptic-technology","display_name":"Haptic technology","score":0.6026999950408936},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5601999759674072},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5473999977111816},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5424000024795532},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.45730000734329224},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4359000027179718},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.42089998722076416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65420001745224},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6110000014305115},{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.6026999950408936},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5601999759674072},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5473999977111816},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5424000024795532},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.45730000734329224},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.42089998722076416},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3716000020503998},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.362199991941452},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33250001072883606},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2928999960422516},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C121448008","wikidata":"https://www.wikidata.org/wiki/Q1755722","display_name":"Large eddy simulation","level":3,"score":0.27900001406669617},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.26969999074935913}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.09971","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09971","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.09971","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09971","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":"Preprint"},"sustainable_development_goals":[{"score":0.5691125392913818,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Text-to-vibration":[0],"generation":[1],"converts":[2],"natural":[3],"language":[4],"into":[5],"haptic":[6,181],"feedback,":[7],"enabling":[8],"vibration-effect":[9],"designers":[10],"to":[11,30,46,54,73,105,117],"get":[12],"scenarios-fitted":[13],"vibrations":[14,52],"more":[15],"efficiently,":[16],"which":[17],"shows":[18],"great":[19],"potentials":[20],"in":[21,35,41,67,139],"application":[22],"fields":[23],"such":[24],"as":[25],"metaverse,":[26],"games,":[27],"and":[28,50,81,136,155,170,188],"film":[29],"enrich":[31],"the":[32,74,91,106,140,152,180],"user":[33,157],"experience":[34],"interactive":[36],"scenarios.":[37],"The":[38,162],"core":[39],"challenge":[40],"this":[42,86],"field":[43],"is":[44],"how":[45],"generate":[47],"accurate,":[48],"consistent,":[49],"complete":[51],"according":[53],"textual":[55],"semantics.":[56],"Very":[57],"recent":[58],"autoregressive":[59],"(AR)":[60],"approaches":[61],"(e.g.,":[62],"HapticGen)":[63],"exhibit":[64],"limited":[65],"capacity":[66],"fully":[68],"capturing":[69],"global":[70,130],"dependencies,":[71],"owing":[72],"inherent":[75],"sequential":[76],"nature":[77],"of":[78],"their":[79],"modeling":[80],"prevailing":[82],"data":[83,120],"constraints.":[84],"In":[85],"paper,":[87],"we":[88,108,144],"proposed":[89],"HapticLDM,":[90],"first":[92],"text-to-vibration":[93],"generative":[94],"model":[95,167],"built":[96],"upon":[97],"Latent":[98],"Diffusion":[99],"Models":[100],"(LDMs).":[101],"Firstly,":[102],"with":[103],"respect":[104],"data,":[107],"introduced":[109],"a":[110,129,156],"text-processing":[111],"strategy":[112],"that":[113,133,165,177],"emphasizes":[114],"dynamic":[115,124],"characteristics":[116],"curate":[118],"high-quality":[119],"pairs":[121],"for":[122],"fine-grained":[123],"modeling.":[125],"Secondly,":[126],"HapticLDM":[127,178],"incorporates":[128],"denoising":[131],"mechanism":[132],"regulates":[134],"coherent":[135],"stable":[137],"variations":[138],"temporal":[141],"envelope.":[142],"Furthermore,":[143],"conduct":[145],"extensive":[146],"evaluations,":[147],"including":[148],"A/B":[149],"testing":[150],"against":[151],"state-of-the-art":[153],"baseline":[154],"study":[158],"involving":[159],"30":[160],"participants.":[161],"results":[163],"demonstrate":[164],"our":[166],"enhances":[168],"realism":[169],"semantic":[171],"alignment.":[172],"Qualitative":[173],"feedback":[174],"further":[175],"indicates":[176],"simplifies":[179],"design":[182],"workflow":[183],"while":[184],"generating":[185],"diverse,":[186],"subtle,":[187],"physically":[189],"precise":[190],"vibrations.":[191]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-13T00:00:00"}