{"id":"https://openalex.org/W4402721891","doi":"https://doi.org/10.1145/3675094.3678459","title":"How ChatGPT Assists Novices in Human Activity Recognition","display_name":"How ChatGPT Assists Novices in Human Activity Recognition","publication_year":2024,"publication_date":"2024-09-22","ids":{"openalex":"https://openalex.org/W4402721891","doi":"https://doi.org/10.1145/3675094.3678459"},"language":"en","primary_location":{"id":"doi:10.1145/3675094.3678459","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3675094.3678459","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3675094.3678459?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3675094.3678459?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064196362","display_name":"Koki Kazama","orcid":null},"institutions":[{"id":"https://openalex.org/I197425175","display_name":"Shonan Institute of Technology","ror":"https://ror.org/01bawqf59","country_code":"JP","type":"education","lineage":["https://openalex.org/I197425175"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koki Kazama","raw_affiliation_strings":["Shonan Institute of Technology, Kanagawa, Japan"],"raw_orcid":"https://orcid.org/0009-0000-5217-895X","affiliations":[{"raw_affiliation_string":"Shonan Institute of Technology, Kanagawa, Japan","institution_ids":["https://openalex.org/I197425175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102169127","display_name":"Masaki Shuzo","orcid":null},"institutions":[{"id":"https://openalex.org/I197425175","display_name":"Shonan Institute of Technology","ror":"https://ror.org/01bawqf59","country_code":"JP","type":"education","lineage":["https://openalex.org/I197425175"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Shuzo","raw_affiliation_strings":["Shonan Institute of Technology, Kanagawa, Japan"],"raw_orcid":"https://orcid.org/0009-0009-9502-7700","affiliations":[{"raw_affiliation_string":"Shonan Institute of Technology, Kanagawa, Japan","institution_ids":["https://openalex.org/I197425175"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6562,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69872357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"575","last_page":"579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.991599977016449,"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"}},{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.947700023651123,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7032084465026855},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4355230927467346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7032084465026855},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4355230927467346}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3675094.3678459","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3675094.3678459","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3675094.3678459?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3675094.3678459","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3675094.3678459","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3675094.3678459?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402721891.pdf","grobid_xml":"https://content.openalex.org/works/W4402721891.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2883766876","https://openalex.org/W2907123474","https://openalex.org/W3085117086","https://openalex.org/W3157971602","https://openalex.org/W4387421393"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"It":[0],"is":[1,42,267],"evident":[2],"that":[3],"large":[4],"language":[5],"models":[6,166,213],"are":[7],"not":[8,237],"only":[9,187],"capable":[10],"of":[11,18,28,39,60,96,104,210,229,246,252,258,275],"generating":[12],"text":[13],"and":[14,74,134,160,206,254],"images":[15],"but":[16],"also":[17],"facilitating":[19],"discussions":[20],"on":[21,83,137],"the":[22,26,58,80,92,100,109,122,188,211,220,232,240,243,250,256,273],"latest":[23],"research":[24],"in":[25,47,50,108,272],"field":[27,274],"human":[29,127],"activity":[30,128,276],"recognition":[31,113,117,129],"due":[32],"to":[33,43,90,176,218,262],"their":[34,55,170],"extensive":[35],"knowledge.":[36],"The":[37,141,165,208],"objective":[38],"this":[40,120],"paper":[41],"observe":[44],"how":[45],"novices":[46,247],"machine":[48,97],"learning":[49],"2024":[51],"can":[52],"rapidly":[53],"develop":[54,263],"skills":[56],"with":[57,68,72,139,249],"assistance":[59,251],"ChatGPT.":[61,140],"As":[62],"an":[63,226],"initial":[64,87],"introduction,":[65],"we":[66,185],"started":[67],"a":[69,76,125,264],"dialogue-based":[70],"consultation":[71],"ChatGPT":[73,253],"executed":[75],"classification":[77],"task":[78,88],"using":[79],"Iris":[81],"dataset":[82],"Google":[84],"Colaboratory.":[85],"This":[86,224],"served":[89],"deepen":[91],"novices'":[93],"basic":[94],"understanding":[95],"learning.":[98],"Subsequently,":[99],"authors,":[101],"as":[102],"part":[103],"Team":[105],"Shonan-Blue,":[106],"participated":[107],"Sussex-Huawei":[110],"Locomotion-Transportation":[111],"(SHL)":[112],"challenge":[114,234],"(hereafter":[115],"SHL":[116],"challenge).":[118],"In":[119],"challenge,":[121],"authors":[123],"developed":[124],"simple":[126],"system":[130,142],"without":[131,255],"expert":[132],"advice":[133],"relying":[135],"solely":[136],"interactions":[138],"was":[143],"constructed":[144],"by":[145,203],"integrating":[146],"four":[147,190,212],"classical":[148],"methods:":[149],"k-Nearest":[150],"Neighbor":[151],"algorithm":[152],"(kNN),":[153],"Neural":[154],"Network":[155],"(NN),":[156],"Random":[157],"Forest":[158],"(RF),":[159],"Support":[161],"Vector":[162],"Machine":[163],"(SVM).":[164],"were":[167,174,214],"selected":[168],"for":[169,269],"differing":[171],"approaches,":[172],"which":[173],"anticipated":[175],"enhance":[177],"prediction":[178,222],"accuracy":[179],"when":[180],"combined.":[181],"For":[182],"feature":[183],"extraction,":[184],"utilized":[186],"primary":[189],"features":[191],"(maximum,":[192],"minimum,":[193],"mean,":[194],"standard":[195],"deviation)":[196],"derived":[197],"from":[198],"5-second":[199],"sensor":[200],"data":[201],"collected":[202],"accelerometers,":[204],"gyroscopes,":[205],"magnetometers.":[207],"outputs":[209],"then":[215],"processed":[216],"ensemble":[217],"obtain":[219],"final":[221],"results.":[223],"yielded":[225],"F1":[227],"score":[228],"0.936.":[230],"Although":[231],"limited":[233],"period":[235],"may":[236],"have":[238],"permitted":[239],"optimal":[241],"performance,":[242],"observed":[244],"growth":[245],"who,":[248],"use":[257],"GPU":[259],"power,":[260],"managed":[261],"functional":[265],"system,":[266],"encouraging":[268],"future":[270],"newcomers":[271],"recognition.":[277]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
