{"id":"https://openalex.org/W3043051145","doi":"https://doi.org/10.1145/3386392.3397598","title":"Do the Urgent Things first! - Detecting Urgency in Spoken Utterances based on Acoustic Features","display_name":"Do the Urgent Things first! - Detecting Urgency in Spoken Utterances based on Acoustic Features","publication_year":2020,"publication_date":"2020-07-13","ids":{"openalex":"https://openalex.org/W3043051145","doi":"https://doi.org/10.1145/3386392.3397598","mag":"3043051145"},"language":"en","primary_location":{"id":"doi:10.1145/3386392.3397598","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386392.3397598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization","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/A5006682428","display_name":"Jakob Landesberger","orcid":null},"institutions":[{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jakob Landesberger","raw_affiliation_strings":["Mercedes-Benz AG & University Ulm, Sindelfingen, Germany"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz AG & University Ulm, Sindelfingen, Germany","institution_ids":["https://openalex.org/I1332474105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020875894","display_name":"Ute Ehrlich","orcid":null},"institutions":[{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ute Ehrlich","raw_affiliation_strings":["Mercedes-Benz AG, Sindelfingen, Germany"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz AG, Sindelfingen, Germany","institution_ids":["https://openalex.org/I1332474105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110317553","display_name":"Wolfgang Minker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wolfgang Minker","raw_affiliation_strings":["University Ulm, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"University Ulm, Ulm, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006682428"],"corresponding_institution_ids":["https://openalex.org/I1332474105"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62589699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9994000196456909,"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/T11309","display_name":"Music and Audio Processing","score":0.9976999759674072,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.8767626285552979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8385046720504761},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.7148540019989014},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7054221034049988},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6543116569519043},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6337000727653503},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5826027989387512},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4567781984806061},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.4260944426059723},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3529558777809143}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.8767626285552979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8385046720504761},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.7148540019989014},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7054221034049988},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6543116569519043},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6337000727653503},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5826027989387512},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4567781984806061},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.4260944426059723},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3529558777809143},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3386392.3397598","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386392.3397598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W179777611","https://openalex.org/W1619226191","https://openalex.org/W1663973292","https://openalex.org/W1678356000","https://openalex.org/W1875231349","https://openalex.org/W1973948212","https://openalex.org/W1999184850","https://openalex.org/W2009600140","https://openalex.org/W2029142339","https://openalex.org/W2034292400","https://openalex.org/W2056561350","https://openalex.org/W2077512056","https://openalex.org/W2086859234","https://openalex.org/W2088009352","https://openalex.org/W2088252378","https://openalex.org/W2091381346","https://openalex.org/W2092495673","https://openalex.org/W2092829070","https://openalex.org/W2100483895","https://openalex.org/W2109644977","https://openalex.org/W2123861288","https://openalex.org/W2133514592","https://openalex.org/W2144279833","https://openalex.org/W2148143831","https://openalex.org/W2191779130","https://openalex.org/W2251371553","https://openalex.org/W2295610990","https://openalex.org/W2335896301","https://openalex.org/W2438300513","https://openalex.org/W2789316780","https://openalex.org/W2889354736","https://openalex.org/W2911964244","https://openalex.org/W4230674625","https://openalex.org/W4235845044","https://openalex.org/W4299689471","https://openalex.org/W6639350448"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W2562096895","https://openalex.org/W2333799855","https://openalex.org/W3177678247","https://openalex.org/W4298392790","https://openalex.org/W4307784074","https://openalex.org/W3197254630","https://openalex.org/W4206571514"],"abstract_inverted_index":{"In":[0,33,113],"the":[1,26,28,31,69,103,114,153,173,180,192,199],"future,":[2],"spoken":[3],"dialogue":[4],"systems":[5],"will":[6],"have":[7],"to":[8,25,39,48,51,121,159,203,224],"deal":[9],"with":[10],"more":[11],"complex":[12],"user":[13,74,80],"utterances":[14],"and":[15,30,163,195,206,213],"should":[16],"react":[17,49],"in":[18,73,216,229],"an":[19],"intuitive,":[20],"comprehensible":[21],"way":[22],"by":[23,139],"adapting":[24],"user,":[27],"situation":[29],"context.":[32],"rapidly":[34],"changing":[35],"situations,":[36],"like":[37],"talking":[38],"a":[40,79,97,123,130,140],"highly":[41,46],"automated":[42],"car,":[43],"it":[44],"is":[45,68,117],"relevant":[47],"adequately":[50],"quick":[52],"urgent":[53,88,111,143,162,204,227],"interjections":[54],"whether":[55],"within":[56],"one":[57],"utterance":[58],"or":[59,184],"as":[60],"interruptions":[61],"of":[62,71,100,126,172,179],"ongoing":[63],"actions/dialogues.":[64],"A":[65],"first":[66,98],"step":[67],"detection":[70],"urgency":[72],"utterances.":[75,112,165],"Therefore,":[76],"we":[77,93],"developed":[78],"study":[81],"based":[82],"on":[83],"gamification":[84],"simulating":[85],"such":[86],"short-term":[87],"situations.":[89],"With":[90],"this":[91],"study,":[92],"collected":[94],"data":[95,146,181],"for":[96,109],"analysis":[99,167],"features":[101,150,171],"from":[102,129,152,201],"audio":[104,154,174],"signal,":[105],"which":[106,197],"are":[107,211],"promising":[108],"detecting":[110],"game":[115],"\"What":[116],"it?\"":[118],"participants":[119],"had":[120],"find":[122],"symbol":[124],"consisting":[125],"three":[127],"characteristics":[128],"set":[131,182],"via":[132],"speech.":[133],"Their":[134],"search":[135],"was":[136],"regularly":[137],"interrupted":[138],"time":[141],"limited":[142],"task.":[144],"The":[145],"obtained":[147],"show":[148],"that":[149,169],"only":[151],"signal":[155,175],"can":[156,214],"be":[157],"used":[158],"distinguish":[160],"between":[161,191],"non-urgent":[164,202],"Further":[166],"reveals":[168],"certain":[170],"represent":[176,198],"different":[177],"phases":[178,193],"better":[183],"worse.":[185],"We":[186,219],"distinguish,":[187],"among":[188],"other":[189],"things,":[190],"Transition":[194],"Decline,":[196],"shift":[200],"speech":[205,228],"vice":[207],"versa.":[208],"These":[209],"shifts":[210],"recognizable":[212],"occur":[215],"rapid":[217],"change.":[218],"identified":[220],"several":[221],"classification":[222],"methods":[223],"detect":[225],"successfully":[226],"each":[230],"phase.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}