{"id":"https://openalex.org/W2006303439","doi":"https://doi.org/10.1145/2733373.2806276","title":"How Was It?","display_name":"How Was It?","publication_year":2015,"publication_date":"2015-10-13","ids":{"openalex":"https://openalex.org/W2006303439","doi":"https://doi.org/10.1145/2733373.2806276","mag":"2006303439"},"language":"en","primary_location":{"id":"doi:10.1145/2733373.2806276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2733373.2806276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM international conference on Multimedia","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/A5107092159","display_name":"Claudio Martella","orcid":null},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Claudio Martella","raw_affiliation_strings":["VU University of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VU University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I865915315","https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049599572","display_name":"Ekin Gedik","orcid":"https://orcid.org/0000-0003-4544-2147"},"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":"Ekin Gedik","raw_affiliation_strings":["Delft University of Technology, Delft, Netherlands","Delft University of Technology, Delft, Netherlands;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands;","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061466913","display_name":"Laura Cabrera-Quir\u00f3s","orcid":"https://orcid.org/0000-0001-5928-3349"},"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":"Laura Cabrera-Quiros","raw_affiliation_strings":["Delft University of Technology, Delft, Netherlands","Delft University of Technology, Delft, Netherlands;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands;","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074888054","display_name":"Gwenn Englebienne","orcid":"https://orcid.org/0000-0002-3130-2082"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gwenn Englebienne","raw_affiliation_strings":["University of Twente, Enschede, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061353073","display_name":"Hayley Hung","orcid":"https://orcid.org/0000-0001-9574-5395"},"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":"Hayley Hung","raw_affiliation_strings":["Delft University of Technology, Delft, Netherlands","Delft University of Technology, Delft, Netherlands;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands;","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8832,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92832755,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"201","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9941999912261963,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9941999912261963,"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"}},{"id":"https://openalex.org/T10803","display_name":"Innovative Human-Technology Interaction","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.7455177903175354},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6644484400749207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.637047529220581},{"id":"https://openalex.org/keywords/dance","display_name":"Dance","score":0.6267106533050537},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.579171895980835},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5509185791015625},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.5108651518821716},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4396810829639435},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.41869133710861206},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3316456973552704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3136480450630188},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.16287288069725037},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15340563654899597}],"concepts":[{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.7455177903175354},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6644484400749207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637047529220581},{"id":"https://openalex.org/C147446459","wikidata":"https://www.wikidata.org/wiki/Q11639","display_name":"Dance","level":2,"score":0.6267106533050537},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.579171895980835},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5509185791015625},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.5108651518821716},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4396810829639435},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.41869133710861206},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3316456973552704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3136480450630188},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.16287288069725037},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15340563654899597},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2733373.2806276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2733373.2806276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1593927114","https://openalex.org/W1968723667","https://openalex.org/W1972807983","https://openalex.org/W1983578155","https://openalex.org/W1991988372","https://openalex.org/W1992337923","https://openalex.org/W1995364830","https://openalex.org/W2002302568","https://openalex.org/W2004214228","https://openalex.org/W2006400585","https://openalex.org/W2013348938","https://openalex.org/W2015133503","https://openalex.org/W2017634428","https://openalex.org/W2019922470","https://openalex.org/W2028156782","https://openalex.org/W2043362323","https://openalex.org/W2043711372","https://openalex.org/W2045136280","https://openalex.org/W2045853040","https://openalex.org/W2074082098","https://openalex.org/W2075114801","https://openalex.org/W2081102498","https://openalex.org/W2083525961","https://openalex.org/W2084866186","https://openalex.org/W2087511931","https://openalex.org/W2093179310","https://openalex.org/W2105046342","https://openalex.org/W2108328714","https://openalex.org/W2122098299","https://openalex.org/W2128118949","https://openalex.org/W2140545420","https://openalex.org/W2149798900","https://openalex.org/W2151642109","https://openalex.org/W2153713744","https://openalex.org/W2163004454","https://openalex.org/W2166024584","https://openalex.org/W2168874970","https://openalex.org/W2187089797","https://openalex.org/W3106011443","https://openalex.org/W4244075691","https://openalex.org/W4253250161","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W597595235","https://openalex.org/W2357651146","https://openalex.org/W3200585538","https://openalex.org/W2501127304","https://openalex.org/W1574267311","https://openalex.org/W3209785493","https://openalex.org/W3120492113","https://openalex.org/W2299690913","https://openalex.org/W4381294844","https://openalex.org/W4304889233"],"abstract_inverted_index":{"In":[0,51],"this":[1,52,123],"paper,":[2],"we":[3,54,161],"present":[4],"an":[5,12,44],"approach":[6],"to":[7,14,48,70,73,83,87,135,139,154,164,203,232],"understand":[8],"the":[9,20,64,85,125,141,169,182,195,227,252],"response":[10,47],"of":[11,22,43,63,76,101,144,158,176,181,200,255],"audience":[13,159,263],"a":[15,38,49,67,74,99,103,110,145,149,156,172,209,270],"live":[16,146],"dance":[17,68,104],"performance":[18,105],"by":[19,60,194],"processing":[21],"mobile":[23,130],"sensor":[24],"data.":[25],"We":[26,93],"argue":[27],"that":[28,190,215],"exploiting":[29],"sensing":[30,131],"capabilities":[31],"already":[32],"available":[33],"in":[34,91,109,207],"smart":[35],"phones":[36],"enables":[37],"potentially":[39],"large":[40],"scale":[41],"measurement":[42],"audience's":[45,183],"implicit":[46,234,253,262],"performance.":[50,147,271],"work,":[53],"leverage":[55],"both":[56,246],"tri-axial":[57],"accelerometers,":[58],"worn":[59,152],"ordinary":[61],"members":[62],"public":[65],"during":[66,265],"performance,":[69],"predict":[71,140,165],"responses":[72,138,206,264],"number":[75],"survey":[77],"answers,":[78],"comprising":[79],"enjoyment,":[80],"immersion,":[81],"willingness":[82],"recommend":[84],"event":[86,170],"others,":[88],"and":[89,117,249,261],"change":[90],"mood.":[92],"also":[94,186],"analyse":[95],"how":[96],"behaviour":[97,114],"as":[98,220,266,268],"result":[100],"seeing":[102],"might":[106],"be":[107],"reflected":[108],"people's":[111],"subsequent":[112],"social":[113],"using":[115],"proximity":[116],"acceleration":[118],"sensing.":[119],"To":[120],"our":[121],"knowledge,":[122],"is":[124,211],"first":[126],"work":[127],"where":[128],"pervasive":[129],"has":[132],"been":[133],"used":[134],"investigate":[136],"spontaneous":[137,260],"affective":[142,205,235],"evaluation":[143],"Using":[148],"single":[150],"body":[151,201],"accelerometer":[153],"monitor":[155],"set":[157],"members,":[160],"were":[162,191],"able":[163],"whether":[166],"they":[167],"enjoyed":[168],"with":[171],"balanced":[173],"classification":[174],"accuracy":[175],"90\\%.":[177],"The":[178,197],"collective":[179],"coordination":[180],"bodily":[184],"movements":[185,202],"highlighted":[187],"memorable":[188],"moments":[189],"reported":[192],"later":[193],"audience.":[196],"effective":[198],"use":[199],"measure":[204,233],"such":[208,219],"setting":[210],"particularly":[212],"surprising":[213],"given":[214],"traditionally,":[216],"physiological":[217],"signals":[218,225],"skin":[221],"conductance":[222],"or":[223],"brain-based":[224],"are":[226],"more":[228],"commonly":[229],"accepted":[230],"methods":[231],"response.":[236],"Our":[237],"experiments":[238],"open":[239],"interesting":[240],"new":[241],"directions":[242],"for":[243,251],"research":[244],"on":[245],"automated":[247],"techniques":[248],"applications":[250],"tagging":[254],"real":[256],"world":[257],"events":[258],"via":[259],"well":[267],"after":[269]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}