{"id":"https://openalex.org/W4321020694","doi":"https://doi.org/10.1109/fg57933.2023.10042654","title":"Analyzing Interactions in Paired Egocentric Videos","display_name":"Analyzing Interactions in Paired Egocentric Videos","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4321020694","doi":"https://doi.org/10.1109/fg57933.2023.10042654"},"language":"en","primary_location":{"id":"doi:10.1109/fg57933.2023.10042654","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fg57933.2023.10042654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086864691","display_name":"Ahad Khatri","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajeeta Khatri","raw_affiliation_strings":["Rochester Institute of Technology,Department of Computer Science,NY,USA","Department of Computer Science, Rochester Institute of Technology, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Department of Computer Science,NY,USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Department of Computer Science, Rochester Institute of Technology, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004879362","display_name":"Zachary P. Butler","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zachary Butler","raw_affiliation_strings":["Rochester Institute of Technology,Department of Computer Science,NY,USA","Department of Computer Science, Rochester Institute of Technology, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Department of Computer Science,NY,USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Department of Computer Science, Rochester Institute of Technology, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022590472","display_name":"Ifeoma Nwogu","orcid":"https://orcid.org/0000-0003-1414-6433"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ifeoma Nwogu","raw_affiliation_strings":["University at Buffalo,Department of Computer Science and Engineering,NY,USA","Department of Computer Science and Engineering, University at Buffalo, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo,Department of Computer Science and Engineering,NY,USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00906852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11309","display_name":"Music and Audio Processing","score":0.9628999829292297,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9598000049591064,"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/computer-science","display_name":"Computer science","score":0.6921455264091492},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.6836538314819336},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5960352420806885},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5385677814483643},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.506620466709137},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4637020230293274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4304947853088379},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21764785051345825},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.15485826134681702}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6921455264091492},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6836538314819336},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5960352420806885},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5385677814483643},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.506620466709137},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4637020230293274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4304947853088379},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21764785051345825},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.15485826134681702},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg57933.2023.10042654","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fg57933.2023.10042654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1965637662","https://openalex.org/W2101234009","https://openalex.org/W2107481604","https://openalex.org/W2345729520","https://openalex.org/W2432964524","https://openalex.org/W2461911683","https://openalex.org/W2571793253","https://openalex.org/W2895299763","https://openalex.org/W2980096197","https://openalex.org/W2995846001","https://openalex.org/W2997691861","https://openalex.org/W3210939414","https://openalex.org/W4235804971","https://openalex.org/W6604828220","https://openalex.org/W6771335037"],"related_works":["https://openalex.org/W1968552888","https://openalex.org/W2341338763","https://openalex.org/W2950183183","https://openalex.org/W2030799363","https://openalex.org/W2032415964","https://openalex.org/W2288425735","https://openalex.org/W2012157391","https://openalex.org/W2562087406","https://openalex.org/W4385473849","https://openalex.org/W2122277836"],"abstract_inverted_index":{"As":[0],"wearable":[1,126],"devices":[2,11,50],"become":[3],"more":[4,273],"popular,":[5],"ego-centric":[6],"information":[7,119],"recorded":[8],"with":[9],"these":[10],"can":[12,51],"be":[13,188],"used":[14,265],"to":[15,42,179,238],"better":[16,189],"understand":[17],"the":[18,21,26,34,56,61,71,82,92,149,153,156,160,164,182,194,200,205,208,211,215,226,240,243,259,262,276,283],"behaviors":[19,209,270,285],"of":[20,59,73,76,111,125,152,175,184,196,207,210,225,242,261,275,278],"wearer":[22,27,62],"and":[23,63,132,155,250],"other":[24,93],"people":[25,213],"is":[28,113,120,169,178,219,236],"interacting":[29],"with.":[30],"Data":[31],"such":[32,49],"as":[33,171],"voice,":[35],"head":[36],"movement,":[37],"galvanic":[38],"skin":[39],"responses":[40],"(GSR)":[41],"measure":[43],"arousal":[44],"levels,":[45],"etc.,":[46],"obtained":[47],"from":[48,159],"provide":[52],"a":[53,85,98,123,133,185,222],"window":[54],"into":[55],"underlying":[57],"affect":[58],"both":[60],"his/her":[64],"conversant.":[65],"In":[66,79],"this":[67,142,167,176,267],"study,":[68],"we":[69],"examine":[70],"characteristics":[72],"two":[74,212],"types":[75],"dyadic":[77],"conversations.":[78],"one":[80],"case,":[81],"interlocutors":[83,96],"discuss":[84],"topic":[86,99],"on":[87,100],"which":[88,101],"they":[89,102,106],"agree,":[90],"while":[91],"situation":[94],"involves":[95],"discussing":[97],"disagree,":[103],"even":[104],"if":[105],"are":[107,146],"friends.":[108],"The":[109,117,173,217,254],"range":[110],"topics":[112],"mostly":[114],"politically":[115],"motivated.":[116],"egocentric":[118],"collected":[121],"using":[122,221,248],"pair":[124],"smart":[127,134],"glasses":[128],"for":[129,136],"video":[130],"data":[131,264],"wristband":[135],"physiological":[137],"data,":[138,143],"including":[139,148],"GSR.":[140],"Using":[141],"various":[144],"features":[145,252],"extracted":[147],"facial":[150],"expressions":[151],"conversant":[154],"3D":[157],"motion":[158,168],"wearer's":[161],"camera":[162],"within":[163],"environment":[165],"-":[166],"termed":[170],"egomotion.":[172],"goal":[174],"work":[177],"investigate":[180],"whether":[181],"nature":[183,241],"discussion":[186,279],"could":[187],"determined":[190],"either":[191],"by":[192,203],"evaluating":[193,204],"behavior":[195],"an":[197],"individual":[198,269],"in":[199,214,258,266],"conversation":[201],"or":[202],"pairing/coupling":[206],"conversation.":[216],"pairing":[218],"accomplished":[220],"modified":[223],"formulation":[224],"dynamic":[227],"time":[228],"warping":[229],"(DTW)":[230],"algorithm.":[231],"A":[232],"random":[233],"forest":[234],"classifier":[235],"implemented":[237],"evaluate":[239],"interaction":[244],"(agreement":[245],"versus":[246],"disagreement)":[247],"individualistic":[249],"paired":[251,284],"separately.":[253],"study":[255],"found":[256],"that":[257],"presence":[260],"limited":[263],"work,":[268],"were":[271],"slightly":[272],"indicative":[274],"type":[277],"(85.43%":[280],"accuracy)":[281],"than":[282],"(83.33%":[286],"accuracy).":[287]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
