{"id":"https://openalex.org/W4415065157","doi":"https://doi.org/10.1145/3716553.3750752","title":"Multimodal Quantitative Measures for Multiparty Behavior Evaluation","display_name":"Multimodal Quantitative Measures for Multiparty Behavior Evaluation","publication_year":2025,"publication_date":"2025-10-11","ids":{"openalex":"https://openalex.org/W4415065157","doi":"https://doi.org/10.1145/3716553.3750752"},"language":"en","primary_location":{"id":"doi:10.1145/3716553.3750752","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716553.3750752","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th International Conference on Multimodal Interaction","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3716553.3750752","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114761145","display_name":"Ojas Shirekar","orcid":"https://orcid.org/0000-0002-5123-5809"},"institutions":[{"id":"https://openalex.org/I4210128321","display_name":"Netherlands Standardization Institute","ror":"https://ror.org/03x84qk23","country_code":"NL","type":"nonprofit","lineage":["https://openalex.org/I4210128321"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Ojas Shirekar","raw_affiliation_strings":["Pattern Recognition and Bioinformatics, TU Delft, Delft, Zuid-Holland, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-5123-5809","affiliations":[{"raw_affiliation_string":"Pattern Recognition and Bioinformatics, TU Delft, Delft, Zuid-Holland, Netherlands","institution_ids":["https://openalex.org/I4210128321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051882032","display_name":"Wim Pouw","orcid":"https://orcid.org/0000-0003-2729-6502"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Wim Pouw","raw_affiliation_strings":["Tilburg University, Tilburg, Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-2729-6502","affiliations":[{"raw_affiliation_string":"Tilburg University, Tilburg, Netherlands","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048941021","display_name":"Chenxu Hao","orcid":"https://orcid.org/0000-0001-7498-547X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Chenxu Hao","raw_affiliation_strings":["Delft University of Technology, Delft, Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-7498-547X","affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011100552","display_name":"Vrushank Phadnis","orcid":"https://orcid.org/0000-0001-6526-0848"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vrushank Phadnis","raw_affiliation_strings":["Google, Mountain View, California, USA"],"raw_orcid":"https://orcid.org/0000-0001-6526-0848","affiliations":[{"raw_affiliation_string":"Google, Mountain View, California, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013075810","display_name":"Thabo Beeler","orcid":"https://orcid.org/0000-0002-8077-1205"},"institutions":[{"id":"https://openalex.org/I4210100430","display_name":"Google (Switzerland)","ror":"https://ror.org/014f9c269","country_code":"CH","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210100430","https://openalex.org/I4210128969"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Thabo Beeler","raw_affiliation_strings":["Google, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-8077-1205","affiliations":[{"raw_affiliation_string":"Google, Zurich, Switzerland","institution_ids":["https://openalex.org/I4210100430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044787452","display_name":"Chirag Raman","orcid":"https://orcid.org/0000-0003-4894-4206"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Chirag Raman","raw_affiliation_strings":["Intelligent Systems, Delft University of Technology, Delft, Zuid-Holland, Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-4894-4206","affiliations":[{"raw_affiliation_string":"Intelligent Systems, Delft University of Technology, Delft, Zuid-Holland, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114761145"],"corresponding_institution_ids":["https://openalex.org/I4210128321"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29355979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10826","display_name":"Behavioral and Psychological Studies","score":0.8888000249862671,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational 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/T10826","display_name":"Behavioral and Psychological Studies","score":0.8888000249862671,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational 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/T11431","display_name":"Action Observation and Synchronization","score":0.8812999725341797,"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/T10860","display_name":"Speech and Audio Processing","score":0.8808000087738037,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/gesture","display_name":"Gesture","score":0.48330000042915344},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.47609999775886536},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.45649999380111694},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.42969998717308044},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.42480000853538513},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41670000553131104},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.39399999380111694},{"id":"https://openalex.org/keywords/affordance","display_name":"Affordance","score":0.3614000082015991}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7355999946594238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5169000029563904},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.48330000042915344},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.47609999775886536},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.45649999380111694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4438999891281128},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.42969998717308044},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41670000553131104},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35249999165534973},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2827000021934509},{"id":"https://openalex.org/C189809214","wikidata":"https://www.wikidata.org/wiki/Q829522","display_name":"Beat (acoustics)","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2687000036239624},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C19444555","wikidata":"https://www.wikidata.org/wiki/Q212750","display_name":"Flattening","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3716553.3750752","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716553.3750752","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th International Conference on Multimodal Interaction","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.10916","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.10916","pdf_url":"https://arxiv.org/pdf/2508.10916","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3716553.3750752","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716553.3750752","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th International Conference on Multimodal Interaction","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W164929510","https://openalex.org/W1844298566","https://openalex.org/W1971199318","https://openalex.org/W1971860267","https://openalex.org/W1984487399","https://openalex.org/W1990916476","https://openalex.org/W2007337857","https://openalex.org/W2027560700","https://openalex.org/W2047979892","https://openalex.org/W2049009647","https://openalex.org/W2063487293","https://openalex.org/W2072617587","https://openalex.org/W2099386544","https://openalex.org/W2119335137","https://openalex.org/W2123563890","https://openalex.org/W2148545659","https://openalex.org/W2154672797","https://openalex.org/W2166470845","https://openalex.org/W2181523240","https://openalex.org/W2264631629","https://openalex.org/W2264742718","https://openalex.org/W2551658346","https://openalex.org/W2886867781","https://openalex.org/W2901170681","https://openalex.org/W2902014535","https://openalex.org/W2903320599","https://openalex.org/W2904710144","https://openalex.org/W2905809276","https://openalex.org/W2963666573","https://openalex.org/W3002310794","https://openalex.org/W3021656379","https://openalex.org/W3042815677","https://openalex.org/W3083173864","https://openalex.org/W3115266783","https://openalex.org/W3118288752","https://openalex.org/W3124675124","https://openalex.org/W3125775899","https://openalex.org/W3132298525","https://openalex.org/W3152157972","https://openalex.org/W3159210093","https://openalex.org/W3164427237","https://openalex.org/W3204221554","https://openalex.org/W4205463391","https://openalex.org/W4283369101","https://openalex.org/W4285041028","https://openalex.org/W4292945985","https://openalex.org/W4293510890","https://openalex.org/W4313145975","https://openalex.org/W4313590920","https://openalex.org/W4315778093","https://openalex.org/W4318822913","https://openalex.org/W4321351659","https://openalex.org/W4364377334","https://openalex.org/W4379913117","https://openalex.org/W4380291752","https://openalex.org/W4387968147","https://openalex.org/W4391277492","https://openalex.org/W4391743225","https://openalex.org/W4393152952","https://openalex.org/W4396895531","https://openalex.org/W4399886434","https://openalex.org/W4401252545","https://openalex.org/W4403886605","https://openalex.org/W4405837312"],"related_works":[],"abstract_inverted_index":{"Digital":[0],"humans":[1],"are":[2],"emerging":[3],"as":[4],"autonomous":[5],"agents":[6],"in":[7,32],"multiparty":[8,29],"interactions,":[9],"yet":[10],"existing":[11],"evaluation":[12],"metrics":[13],"largely":[14],"ignore":[15],"contextual":[16],"coordination":[17],"dynamics.":[18],"We":[19,65],"introduce":[20],"a":[21,154],"unified,":[22],"intervention-driven":[23],"framework":[24],"for":[25,157],"objective":[26],"assessment":[27],"of":[28,90,129],"social":[30],"behaviour":[31],"skeletal":[33],"motion":[34],"data,":[35],"spanning":[36],"three":[37,70,139],"complementary":[38,123],"dimensions:":[39],"(1)":[40],"synchrony":[41],"via":[42,49,60],"Cross-Recurrence":[43],"Quantification":[44],"Analysis,":[45],"(2)":[46],"temporal":[47],"alignment":[48],"Multiscale":[50],"Empirical":[51],"Mode":[52],"Decompositionbased":[53],"Beat":[54],"Consistency,":[55],"and":[56,80,107,115,131,149,159],"(3)":[57],"structural":[58],"similarity":[59],"Soft":[61],"Dynamic":[62],"Time":[63],"Warping.":[64],"validate":[66],"metric":[67],"sensitivity":[68],"through":[69],"theory-driven":[71],"perturbations":[72],"--":[73],"gesture":[74],"kinematic":[75],"dampening,":[76],"uniform":[77],"speech-gesture":[78],"delays,":[79],"prosodic":[81],"pitch-variance":[82],"reduction-applied":[83],"to":[84,134],"$\\approx":[85],"145$":[86],"30-second":[87],"thin":[88],"slices":[89],"group":[91],"interactions":[92],"from":[93],"the":[94],"DnD":[95],"dataset.":[96],"Mixed-effects":[97],"analyses":[98],"reveal":[99],"predictable,":[100],"joint-independent":[101],"shifts:":[102],"dampening":[103],"increases":[104],"CRQA":[105],"determinism":[106],"reduces":[108],"beat":[109],"consistency,":[110],"delays":[111],"weaken":[112],"cross-participant":[113],"coupling,":[114],"pitch":[116],"flattening":[117],"elevates":[118],"F0":[119],"Soft-DTW":[120],"costs.":[121],"A":[122],"perception":[124],"study":[125],"($N=27$)":[126],"compares":[127],"judgments":[128],"full-video":[130],"skeleton-only":[132],"renderings":[133],"quantify":[135],"representation":[136],"effects.":[137],"Our":[138],"measures":[140],"deliver":[141],"orthogonal":[142],"insights":[143],"into":[144],"spatial":[145],"structure,":[146],"timing":[147],"alignment,":[148],"behavioural":[150],"variability.":[151],"Thereby":[152],"forming":[153],"robust":[155],"toolkit":[156],"evaluating":[158],"refining":[160],"socially":[161],"intelligent":[162],"agents.":[163],"Code":[164],"available":[165],"on":[166],"\\href{https://github.com/tapri-lab/gig-interveners}{GitHub}.":[167]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-11T00:00:00"}