{"id":"https://openalex.org/W4387421305","doi":"https://doi.org/10.1145/3594739.3610743","title":"A Data-Driven Study on the Hawthorne Effect in Sensor-Based Human Activity Recognition","display_name":"A Data-Driven Study on the Hawthorne Effect in Sensor-Based Human Activity Recognition","publication_year":2023,"publication_date":"2023-10-07","ids":{"openalex":"https://openalex.org/W4387421305","doi":"https://doi.org/10.1145/3594739.3610743"},"language":"en","primary_location":{"id":"doi:10.1145/3594739.3610743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594739.3610743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing &amp; the 2023 ACM International Symposium on Wearable Computing","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/A5082051115","display_name":"Alexander Hoelzemann","orcid":"https://orcid.org/0000-0001-6509-0009"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alexander Hoelzemann","raw_affiliation_strings":["University of Siegen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6509-0009","affiliations":[{"raw_affiliation_string":"University of Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019076787","display_name":"Marius Bock","orcid":"https://orcid.org/0000-0001-7401-928X"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marius Bock","raw_affiliation_strings":["University of Siegen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7401-928X","affiliations":[{"raw_affiliation_string":"University of Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093020761","display_name":"Ericka Andrea Valladares Bast\u00edas","orcid":"https://orcid.org/0009-0009-8492-8423"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ericka Andrea Valladares Bast\u00edas","raw_affiliation_strings":["University of Siegen, Germany"],"raw_orcid":"https://orcid.org/0009-0009-8492-8423","affiliations":[{"raw_affiliation_string":"University of Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093020762","display_name":"Salma El Ouazzani Touhami","orcid":"https://orcid.org/0009-0009-2446-9675"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Salma El Ouazzani Touhami","raw_affiliation_strings":["University of Siegen, Germany"],"raw_orcid":"https://orcid.org/0009-0009-2446-9675","affiliations":[{"raw_affiliation_string":"University of Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093020763","display_name":"Kenza Nassiri","orcid":"https://orcid.org/0009-0004-5101-9147"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kenza Nassiri","raw_affiliation_strings":["University of Siegen, Germany"],"raw_orcid":"https://orcid.org/0009-0004-5101-9147","affiliations":[{"raw_affiliation_string":"University of Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027114416","display_name":"Kristof Van Laerhoven","orcid":"https://orcid.org/0000-0001-5296-5347"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kristof Van Laerhoven","raw_affiliation_strings":["University of Siegen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5296-5347","affiliations":[{"raw_affiliation_string":"University of Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082051115"],"corresponding_institution_ids":["https://openalex.org/I206895457"],"apc_list":null,"apc_paid":null,"fwci":0.9729,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77623496,"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":"486","last_page":"491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.965399980545044,"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/T11431","display_name":"Action Observation and Synchronization","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6647133827209473},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6126242876052856},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5269623398780823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5083245635032654},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49063554406166077},{"id":"https://openalex.org/keywords/hawthorne-effect","display_name":"Hawthorne effect","score":0.48959141969680786},{"id":"https://openalex.org/keywords/multitude","display_name":"Multitude","score":0.43235406279563904},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.4230518043041229},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34244978427886963},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22172090411186218},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.11259147524833679}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647133827209473},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6126242876052856},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5269623398780823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5083245635032654},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49063554406166077},{"id":"https://openalex.org/C195768694","wikidata":"https://www.wikidata.org/wiki/Q18570","display_name":"Hawthorne effect","level":2,"score":0.48959141969680786},{"id":"https://openalex.org/C2780565519","wikidata":"https://www.wikidata.org/wiki/Q1208937","display_name":"Multitude","level":2,"score":0.43235406279563904},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.4230518043041229},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34244978427886963},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22172090411186218},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11259147524833679},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594739.3610743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594739.3610743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing &amp; the 2023 ACM International Symposium on Wearable Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2775056681","display_name":null,"funder_award_id":"DFG LA 275811-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1984982865","https://openalex.org/W2008529844","https://openalex.org/W2023302299","https://openalex.org/W2150955821","https://openalex.org/W2270470215","https://openalex.org/W2273259645","https://openalex.org/W2341353168","https://openalex.org/W2568646888","https://openalex.org/W2569303792","https://openalex.org/W2783920628","https://openalex.org/W2944580944","https://openalex.org/W3046351117","https://openalex.org/W3091921173","https://openalex.org/W3200829394","https://openalex.org/W4229011851","https://openalex.org/W6854024001"],"related_works":["https://openalex.org/W2417432647","https://openalex.org/W2371114124","https://openalex.org/W2168950483","https://openalex.org/W1858324360","https://openalex.org/W1975110769","https://openalex.org/W2378535610","https://openalex.org/W4213029470","https://openalex.org/W2798951784","https://openalex.org/W657803122","https://openalex.org/W2706752825"],"abstract_inverted_index":{"Known":[0],"as":[1],"the":[2,32,35,41,55,66,72,91,113,143,146,152,156],"Hawthorne":[3,147],"Effect,":[4,148],"studies":[5,29,39],"have":[6],"shown":[7],"that":[8,120],"participants":[9],"alter":[10],"their":[11],"behavior":[12],"and":[13,43,107,131,167],"execution":[14,97],"of":[15,27,31,34,45,57,68,74,80,93,98,116,124,134,145,155,158],"activities":[16],"in":[17,48,54],"response":[18],"to":[19,89,161,169],"being":[20],"observed.":[21],"With":[22,65],"researchers":[23],"from":[24],"a":[25,86,121],"multitude":[26],"human-centered":[28],"knowing":[30],"existence":[33,144],"said":[36],"effect,":[37],"quantitative":[38],"investigating":[40],"neutrality":[42],"quality":[44],"data":[46,115],"gathered":[47],"monitored":[49],"versus":[50],"unmonitored":[51],"setups,":[52],"particularly":[53],"context":[56],"Human":[58],"Activity":[59],"Recognition":[60],"(HAR),":[61],"remain":[62],"largely":[63],"under-explored.":[64],"development":[67],"tracking":[69],"devices":[70],"providing":[71],"possibility":[73],"carrying":[75],"out":[76],"less":[77],"invasive":[78],"observation":[79,94,125],"participants\u2019":[81,96],"conduct,":[82],"this":[83],"study":[84],"provides":[85],"data-driven":[87],"approach":[88],"measure":[90],"effects":[92],"on":[95],"five":[99],"workout-based":[100],"activities.":[101],"Using":[102],"both":[103],"classical":[104],"feature":[105],"analysis":[106],"deep":[108],"learning-based":[109],"methods":[110],"we":[111],"analyze":[112],"accelerometer":[114],"10":[117],"participants,":[118],"showing":[119],"different":[122],"degree":[123],"only":[126],"marginally":[127],"influences":[128],"captured":[129],"patterns":[130],"predictive":[132],"performance":[133],"classification":[135],"algorithms.":[136],"Although":[137],"our":[138,171],"findings":[139],"do":[140],"not":[141],"dismiss":[142],"it":[149],"does":[150],"challenge":[151],"prevailing":[153],"notion":[154],"applicability":[157],"laboratory":[159],"compared":[160],"in-the-wild":[162],"recorded":[163],"data.":[164],"The":[165],"dataset":[166],"code":[168],"reproduce":[170],"experiments":[172],"are":[173],"available":[174],"via":[175],"https://github.com/mariusbock/hawthorne_har.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
