{"id":"https://openalex.org/W4407389888","doi":"https://doi.org/10.1145/3708468.3715686","title":"Making Sensing Interactive and Descriptive with LLMs: Context Reasoning from Multi-Sensor Data","display_name":"Making Sensing Interactive and Descriptive with LLMs: Context Reasoning from Multi-Sensor Data","publication_year":2025,"publication_date":"2025-02-12","ids":{"openalex":"https://openalex.org/W4407389888","doi":"https://doi.org/10.1145/3708468.3715686"},"language":"en","primary_location":{"id":"doi:10.1145/3708468.3715686","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708468.3715686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Workshop on Mobile Computing Systems and Applications","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/A5116236790","display_name":"Kevin Post","orcid":"https://orcid.org/0009-0008-1396-2977"},"institutions":[{"id":"https://openalex.org/I56085075","display_name":"University of Tartu","ror":"https://ror.org/03z77qz90","country_code":"EE","type":"education","lineage":["https://openalex.org/I56085075"]}],"countries":["EE"],"is_corresponding":true,"raw_author_name":"Kevin Post","raw_affiliation_strings":["University of Tartu, Tartu, Estonia"],"raw_orcid":"https://orcid.org/0009-0008-1396-2977","affiliations":[{"raw_affiliation_string":"University of Tartu, Tartu, Estonia","institution_ids":["https://openalex.org/I56085075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115079957","display_name":"Reo Kuchida","orcid":"https://orcid.org/0009-0005-9926-3947"},"institutions":[{"id":"https://openalex.org/I56085075","display_name":"University of Tartu","ror":"https://ror.org/03z77qz90","country_code":"EE","type":"education","lineage":["https://openalex.org/I56085075"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Reo Kuchida","raw_affiliation_strings":["University of Tartu, Tartu, Estonia"],"raw_orcid":"https://orcid.org/0009-0005-9926-3947","affiliations":[{"raw_affiliation_string":"University of Tartu, Tartu, Estonia","institution_ids":["https://openalex.org/I56085075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039591536","display_name":"Mayowa Olapade","orcid":"https://orcid.org/0000-0001-9878-0858"},"institutions":[{"id":"https://openalex.org/I56085075","display_name":"University of Tartu","ror":"https://ror.org/03z77qz90","country_code":"EE","type":"education","lineage":["https://openalex.org/I56085075"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Mayowa Olapade","raw_affiliation_strings":["University of Tartu, Tartu, Estonia"],"raw_orcid":"https://orcid.org/0000-0001-9878-0858","affiliations":[{"raw_affiliation_string":"University of Tartu, Tartu, Estonia","institution_ids":["https://openalex.org/I56085075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022435364","display_name":"Zhigang Yin","orcid":"https://orcid.org/0000-0002-4583-9745"},"institutions":[{"id":"https://openalex.org/I56085075","display_name":"University of Tartu","ror":"https://ror.org/03z77qz90","country_code":"EE","type":"education","lineage":["https://openalex.org/I56085075"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Zhigang Yin","raw_affiliation_strings":["University of Tartu, Tartu, Estonia"],"raw_orcid":"https://orcid.org/0000-0002-4583-9745","affiliations":[{"raw_affiliation_string":"University of Tartu, Tartu, Estonia","institution_ids":["https://openalex.org/I56085075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001576325","display_name":"Hugo Flores","orcid":"https://orcid.org/0000-0002-3867-7645"},"institutions":[{"id":"https://openalex.org/I56085075","display_name":"University of Tartu","ror":"https://ror.org/03z77qz90","country_code":"EE","type":"education","lineage":["https://openalex.org/I56085075"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Huber Flores","raw_affiliation_strings":["University of Tartu, Tartu, Estonia"],"raw_orcid":"https://orcid.org/0000-0002-3867-7645","affiliations":[{"raw_affiliation_string":"University of Tartu, Tartu, Estonia","institution_ids":["https://openalex.org/I56085075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5116236790"],"corresponding_institution_ids":["https://openalex.org/I56085075"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00926861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9969000220298767,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9969000220298767,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.6602977514266968},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6434829235076904},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36998772621154785},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32656416296958923},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10389292240142822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6602977514266968},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6434829235076904},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36998772621154785},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32656416296958923},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10389292240142822},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3708468.3715686","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708468.3715686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Workshop on Mobile Computing Systems and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2073401630"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Sensor-based":[0],"Human":[1],"Activity":[2],"Recognition":[3],"(HAR)":[4],"and":[5,11,24,96,98],"context":[6,71],"inference":[7],"using":[8,74,111],"ML/DL":[9],"(machine":[10],"deep":[12],"learning)":[13],"models":[14],"classify":[15],"activities":[16],"but":[17,37],"offer":[18],"limited":[19],"insights":[20,83],"into":[21,68],"user":[22],"behaviors":[23],"experiences.":[25],"For":[26],"instance,":[27],"IMU":[28],"sensor":[29,66],"data":[30,67,94],"classified":[31],"may":[32],"identify":[33],"\"running\"":[34],"or":[35],"\"kicking,\"":[36],"miss":[38],"broader":[39],"contexts":[40],"like":[41],"\"executing":[42],"an":[43],"offensive":[44],"jump":[45],"in":[46,104],"a":[47,53],"football":[48],"match.\"":[49],"We":[50],"present":[51],"ContextLLM[2],":[52],"context-driven":[54],"solution":[55],"powered":[56],"by":[57,107],"Large":[58],"Language":[59],"Models":[60],"(LLMs)":[61],"that":[62],"transforms":[63],"sparse,":[64],"abstract":[65],"detailed,":[69],"meaningful":[70],"descriptions.":[72],"By":[73],"the":[75],"OPPORTUNITY":[76],"dataset[1],":[77],"we":[78],"show":[79],"how":[80],"LLMs":[81],"aggregate":[82],"from":[84],"multiple":[85],"sensors":[86],"to":[87],"infer":[88],"rich":[89],"context,":[90],"addressing":[91],"challenges":[92],"of":[93],"sparsity":[95],"fragmentation,":[97],"enhancing":[99],"context-aware":[100],"applications.":[101],"As":[102],"shown":[103],"Figure":[105],"1,":[106],"producing":[108],"these":[109],"descriptions":[110],"natural":[112],"language,":[113],"ContextLLM":[114],"unlocks":[115],"new":[116],"possibilities":[117],"for":[118],"making":[119],"sensing":[120,125],"more":[121],"interactive,":[122],"e.g.,":[123],"through":[124],"co-pilot":[126],"apps.":[127]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
