{"id":"https://openalex.org/W4410068129","doi":"https://doi.org/10.1145/3715014.3722074","title":"SensorQA: A Question Answering Benchmark for Daily-Life Monitoring","display_name":"SensorQA: A Question Answering Benchmark for Daily-Life Monitoring","publication_year":2025,"publication_date":"2025-05-04","ids":{"openalex":"https://openalex.org/W4410068129","doi":"https://doi.org/10.1145/3715014.3722074"},"language":"en","primary_location":{"id":"doi:10.1145/3715014.3722074","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3715014.3722074","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 23rd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3715014.3722074","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056736167","display_name":"B. Reichman","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Benjamin Reichman","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024845005","display_name":"Xiaofan Yu","orcid":"https://orcid.org/0000-0002-9638-6184"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofan Yu","raw_affiliation_strings":["University of California, San Diego, La Jolla, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, La Jolla, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055638481","display_name":"Lanxiang Hu","orcid":"https://orcid.org/0000-0003-0641-3677"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lanxiang Hu","raw_affiliation_strings":["University of California, San Diego, La Jolla, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, La Jolla, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014236455","display_name":"Jack Truxal","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jack Truxal","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100879246","display_name":"Atishay Jain","orcid":"https://orcid.org/0009-0004-6868-3490"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atishay Jain","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114512893","display_name":"Rushil Chandrupatla","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rushil Chandrupatla","raw_affiliation_strings":["University of California, San Diego, La Jolla, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, La Jolla, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025573294","display_name":"Tajana Rosing","orcid":"https://orcid.org/0000-0002-6954-997X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tajana S Rosing","raw_affiliation_strings":["University of California, San Diego, La Jolla, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, La Jolla, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003679010","display_name":"Larry Heck","orcid":"https://orcid.org/0000-0003-3358-6362"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Larry Heck","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5056736167"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.2784,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79327482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"282","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9973999857902527,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9973999857902527,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9750000238418579,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9402999877929688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8171918392181396},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6475222706794739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6283116340637207},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3698657155036926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3430691659450531},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06714794039726257},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.05330583453178406}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8171918392181396},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6475222706794739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6283116340637207},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3698657155036926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3430691659450531},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06714794039726257},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.05330583453178406}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3715014.3722074","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3715014.3722074","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 23rd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3715014.3722074","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3715014.3722074","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 23rd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G317115702","display_name":null,"funder_award_id":"1911095","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3744848179","display_name":null,"funder_award_id":"2112665","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G502606643","display_name":null,"funder_award_id":"1826967","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5665456810","display_name":null,"funder_award_id":"2100237","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7181340123","display_name":null,"funder_award_id":"2003279","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8546692821","display_name":null,"funder_award_id":"2211386","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G898084569","display_name":null,"funder_award_id":"2120019","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1593271688","https://openalex.org/W2073401630","https://openalex.org/W2600463316","https://openalex.org/W2783920628","https://openalex.org/W2889787757","https://openalex.org/W2912924812","https://openalex.org/W2946659172","https://openalex.org/W2963323070","https://openalex.org/W2963339397","https://openalex.org/W2963373106","https://openalex.org/W2981852735","https://openalex.org/W2998733856","https://openalex.org/W3012111773","https://openalex.org/W3098351727","https://openalex.org/W3160534402","https://openalex.org/W3205786327","https://openalex.org/W4205508242","https://openalex.org/W4281680785","https://openalex.org/W4288089799","https://openalex.org/W4306250089","https://openalex.org/W4372260577","https://openalex.org/W4376607469","https://openalex.org/W4380926296","https://openalex.org/W4387227531","https://openalex.org/W4389520547","https://openalex.org/W4393148220","https://openalex.org/W4393148430","https://openalex.org/W4395681059","https://openalex.org/W4396920249","https://openalex.org/W4402727764","https://openalex.org/W4402727922","https://openalex.org/W4404034597","https://openalex.org/W4404034620"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2384605597","https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2387743295","https://openalex.org/W2130974462","https://openalex.org/W2028665553"],"abstract_inverted_index":{"With":[0],"the":[1,48,61,101,140],"rapid":[2],"growth":[3],"in":[4,14],"sensor":[5,43,75,102],"data,":[6,44],"effectively":[7],"interpreting":[8],"and":[9,83,87,115,131,147],"interfacing":[10],"with":[11,96],"these":[12],"data":[13],"a":[15,51,126],"human-understandable":[16],"way":[17],"has":[18],"become":[19],"crucial.":[20],"While":[21],"existing":[22],"research":[23],"primarily":[24],"focuses":[25],"on":[26,72,112,119],"learning":[27],"classification":[28],"models,":[29],"fewer":[30],"studies":[31],"have":[32],"explored":[33],"how":[34],"end":[35],"users":[36],"can":[37],"actively":[38],"extract":[39],"useful":[40],"insights":[41],"from":[42,100],"often":[45],"hindered":[46],"by":[47,80],"lack":[49],"of":[50],"proper":[52],"dataset.":[53],"To":[54],"address":[55],"this":[56,113],"gap,":[57],"we":[58],"introduce":[59],"SensorQA,":[60],"first":[62],"human-created":[63],"question-answering":[64],"(QA)":[65],"dataset":[66,114,146],"for":[67,108,142],"daily":[68],"life":[69],"monitoring,":[70],"based":[71],"long-term":[73],"time-series":[74],"data.":[76,103],"SensorQA":[77],"is":[78],"created":[79],"human":[81,93],"workers":[82],"includes":[84],"5.6K":[85],"diverse":[86],"practical":[88],"queries":[89],"that":[90],"reflect":[91],"genuine":[92],"interests,":[94],"paired":[95],"accurate":[97],"answers":[98],"derived":[99],"We":[104],"further":[105],"establish":[106],"benchmarks":[107],"state-of-the-art":[109],"AI":[110],"models":[111,130],"evaluate":[116],"their":[117],"performance":[118,134],"typical":[120],"edge":[121],"devices.":[122],"Our":[123],"results":[124],"reveal":[125],"gap":[127],"between":[128],"current":[129],"optimal":[132],"QA":[133],"as":[135,137],"well":[136],"efficiency,":[138],"highlighting":[139],"need":[141],"new":[143],"contributions.":[144],"The":[145],"code":[148],"are":[149],"available":[150],"at:":[151],"https://github.com/benjamin-reichman/SensorQA.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
