{"id":"https://openalex.org/W7118274588","doi":"https://doi.org/10.48550/arxiv.2601.00843","title":"OmniNeuro: A Multimodal HCI Framework for Explainable BCI Feedback via Generative AI and Sonification","display_name":"OmniNeuro: A Multimodal HCI Framework for Explainable BCI Feedback via Generative AI and Sonification","publication_year":2025,"publication_date":"2025-12-28","ids":{"openalex":"https://openalex.org/W7118274588","doi":"https://doi.org/10.48550/arxiv.2601.00843"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.00843","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00843","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.2601.00843","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122026607","display_name":"Ayda Aghaei Nia","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nia, Ayda Aghaei","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5122026607"],"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9434999823570251,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9434999823570251,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.00430000014603138,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.0034000000450760126,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/interpretability","display_name":"Interpretability","score":0.9674000144004822},{"id":"https://openalex.org/keywords/sonification","display_name":"Sonification","score":0.7368000149726868},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6754999756813049},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6015999913215637},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5026000142097473},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4406999945640564},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43790000677108765},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.37869998812675476}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9674000144004822},{"id":"https://openalex.org/C91607612","wikidata":"https://www.wikidata.org/wiki/Q1416058","display_name":"Sonification","level":2,"score":0.7368000149726868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7028999924659729},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6754999756813049},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6015999913215637},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5885000228881836},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5026000142097473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4632999897003174},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4406999945640564},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36730000376701355},{"id":"https://openalex.org/C2434490","wikidata":"https://www.wikidata.org/wiki/Q1306920","display_name":"Neurofeedback","level":3,"score":0.3337000012397766},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C2982819384","wikidata":"https://www.wikidata.org/wiki/Q7078910","display_name":"Off the shelf","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.26030001044273376}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.00843","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00843","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.2601.00843","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.00843","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":[{"display_name":"No poverty","score":0.5589859485626221,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"While":[0],"Deep":[1],"Learning":[2],"has":[3],"improved":[4],"Brain-Computer":[5],"Interface":[6],"(BCI)":[7],"decoding":[8],"accuracy,":[9],"clinical":[10],"adoption":[11],"is":[12,111],"hindered":[13],"by":[14],"the":[15,39,79,83,107],"\"Black":[16],"Box\"":[17],"nature":[18],"of":[19,89],"these":[20],"algorithms,":[21],"leading":[22],"to":[23],"user":[24],"frustration":[25],"and":[26,62,72,105],"poor":[27],"neuroplasticity":[28],"outcomes.":[29],"We":[30],"propose":[31],"OmniNeuro,":[32],"a":[33,42,46,86],"novel":[34],"HCI":[35],"framework":[36],"that":[37,97],"transforms":[38],"BCI":[40],"from":[41],"silent":[43],"decoder":[44],"into":[45],"transparent":[47],"feedback":[48,99],"partner.":[49],"OmniNeuro":[50,110],"integrates":[51],"three":[52],"interpretability":[53,117],"engines:":[54],"(1)":[55],"Physics":[56],"(Energy),":[57],"(2)":[58],"Chaos":[59],"(Fractal":[60],"Complexity),":[61],"(3)":[63],"Quantum-Inspired":[64],"uncertainty":[65],"modeling.":[66],"These":[67],"metrics":[68],"drive":[69],"real-time":[70],"Neuro-Sonification":[71],"Generative":[73],"AI":[74],"Clinical":[75],"Reports.":[76],"Evaluated":[77],"on":[78],"PhysioNet":[80],"dataset":[81],"($N=109$),":[82],"system":[84],"achieved":[85],"mean":[87],"accuracy":[88],"58.52%,":[90],"with":[91],"qualitative":[92],"pilot":[93],"studies":[94],"($N=3$)":[95],"confirming":[96],"explainable":[98],"helps":[100],"users":[101],"regulate":[102],"mental":[103],"effort":[104],"reduces":[106],"\"trial-and-error\"":[108],"phase.":[109],"decoder-agnostic,":[112],"acting":[113],"as":[114],"an":[115],"essential":[116],"layer":[118],"for":[119],"any":[120],"state-of-the-art":[121],"architecture.":[122]},"counts_by_year":[],"updated_date":"2026-01-08T20:10:11.968330","created_date":"2026-01-08T00:00:00"}