{"id":"https://openalex.org/W4297184016","doi":"https://doi.org/10.1145/3564276","title":"A Human-in-the-Loop Segmented Mixed-Effects Modeling Method for Analyzing Wearables Data","display_name":"A Human-in-the-Loop Segmented Mixed-Effects Modeling Method for Analyzing Wearables Data","publication_year":2022,"publication_date":"2022-09-24","ids":{"openalex":"https://openalex.org/W4297184016","doi":"https://doi.org/10.1145/3564276"},"language":"en","primary_location":{"id":"doi:10.1145/3564276","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3564276","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3564276","source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3564276","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101400429","display_name":"Karthik Srinivasan","orcid":"https://orcid.org/0000-0002-1608-6190"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Karthik Srinivasan","raw_affiliation_strings":["School of Business, University of Kansas, Lawrence KS, U.S"],"raw_orcid":"https://orcid.org/0000-0002-1608-6190","affiliations":[{"raw_affiliation_string":"School of Business, University of Kansas, Lawrence KS, U.S","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088583142","display_name":"Faiz Currim","orcid":"https://orcid.org/0000-0002-5025-811X"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Faiz Currim","raw_affiliation_strings":["Eller College of Management, University of Arizona, Tucson AZ, U.S"],"raw_orcid":"https://orcid.org/0000-0002-5025-811X","affiliations":[{"raw_affiliation_string":"Eller College of Management, University of Arizona, Tucson AZ, U.S","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044250210","display_name":"Sudha Ram","orcid":"https://orcid.org/0000-0001-6053-1311"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudha Ram","raw_affiliation_strings":["Eller College of Management, University of Arizona, Tucson AZ, U.S"],"raw_orcid":"https://orcid.org/0000-0001-6053-1311","affiliations":[{"raw_affiliation_string":"Eller College of Management, University of Arizona, Tucson AZ, U.S","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101400429"],"corresponding_institution_ids":["https://openalex.org/I146416000"],"apc_list":null,"apc_paid":null,"fwci":0.7687,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.737863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"14","issue":"2","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T13283","display_name":"Mental Health Research Topics","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.989799976348877,"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/overfitting","display_name":"Overfitting","score":0.857410192489624},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7860018610954285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7057471871376038},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.549227237701416},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5332552790641785},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5226011872291565},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4677460491657257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4045572876930237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37289050221443176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1652458906173706}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.857410192489624},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7860018610954285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7057471871376038},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.549227237701416},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5332552790641785},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5226011872291565},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4677460491657257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4045572876930237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37289050221443176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1652458906173706},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3564276","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3564276","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3564276","source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3564276","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3564276","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3564276","source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297184016.pdf","grobid_xml":"https://content.openalex.org/works/W4297184016.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W90244107","https://openalex.org/W1490463471","https://openalex.org/W1969775215","https://openalex.org/W1981457167","https://openalex.org/W1981903823","https://openalex.org/W1982830800","https://openalex.org/W1991170684","https://openalex.org/W1997588201","https://openalex.org/W2001062140","https://openalex.org/W2001154058","https://openalex.org/W2009499611","https://openalex.org/W2014703957","https://openalex.org/W2017979424","https://openalex.org/W2029223910","https://openalex.org/W2039143807","https://openalex.org/W2043241275","https://openalex.org/W2079841778","https://openalex.org/W2084341220","https://openalex.org/W2101502430","https://openalex.org/W2127973942","https://openalex.org/W2132351928","https://openalex.org/W2136464549","https://openalex.org/W2136635106","https://openalex.org/W2141975087","https://openalex.org/W2144452471","https://openalex.org/W2146884567","https://openalex.org/W2147308894","https://openalex.org/W2150979970","https://openalex.org/W2164679430","https://openalex.org/W2175074770","https://openalex.org/W2255146410","https://openalex.org/W2300445845","https://openalex.org/W2346009192","https://openalex.org/W2563686712","https://openalex.org/W2573003069","https://openalex.org/W2575460524","https://openalex.org/W2582726302","https://openalex.org/W2607515753","https://openalex.org/W2613995098","https://openalex.org/W2724329697","https://openalex.org/W2732051544","https://openalex.org/W2748268306","https://openalex.org/W2759190050","https://openalex.org/W2797333641","https://openalex.org/W2802769465","https://openalex.org/W2860248510","https://openalex.org/W2888122309","https://openalex.org/W2904966308","https://openalex.org/W2946867913","https://openalex.org/W2946922686","https://openalex.org/W2949035540","https://openalex.org/W2951936974","https://openalex.org/W2971380609","https://openalex.org/W3009585246","https://openalex.org/W3009734525","https://openalex.org/W3009845113","https://openalex.org/W3011325660","https://openalex.org/W3021352319","https://openalex.org/W3085073679","https://openalex.org/W3089382458","https://openalex.org/W3093821577","https://openalex.org/W3111884629","https://openalex.org/W3121452939","https://openalex.org/W3125526866","https://openalex.org/W3177494680","https://openalex.org/W3192495122","https://openalex.org/W3198398181","https://openalex.org/W3207092178","https://openalex.org/W4212997115","https://openalex.org/W6680486862","https://openalex.org/W6763534120"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W4250401876","https://openalex.org/W2514492205","https://openalex.org/W2943851981","https://openalex.org/W2095299560","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W2528680939"],"abstract_inverted_index":{"Wearables":[0],"are":[1],"an":[2],"important":[3],"source":[4],"of":[5,15,18,24,80,148,166,174],"big":[6],"data,":[7],"as":[8,35],"they":[9],"provide":[10],"real-time":[11],"high-resolution":[12],"data":[13,67,162],"logs":[14],"health":[16,161,186],"indicators":[17],"individuals.":[19],"Higher-order":[20],"associations":[21,83,184],"between":[22,84],"pairs":[23],"variables":[25,85],"is":[26],"common":[27],"in":[28,39,86,146,164],"wearables":[29,66,87,136,175],"data.":[30,88,176],"Representing":[31],"higher-order":[32,81,183],"association":[33],"curves":[34],"piecewise":[36],"linear":[37],"segments":[38],"a":[40,74,97,112,168],"regression":[41],"model":[42,101],"makes":[43],"them":[44],"more":[45,154],"interpretable.":[46],"However,":[47],"existing":[48],"methods":[49,145],"for":[50,55,65,77,111,171,185],"identifying":[51],"the":[52,92,104,125],"change":[53,108],"points":[54],"segmented":[56,78,113],"modeling":[57,79,144,173],"either":[58],"overfit":[59],"or":[60],"have":[61],"low":[62],"external":[63],"validity":[64],"containing":[68],"repeated":[69],"measures.":[70],"Therefore,":[71],"we":[72],"propose":[73],"human-in-the-loop":[75],"method":[76,90,132,139,170],"pairwise":[82],"Our":[89,138,157,177],"uses":[91],"smooth":[93],"function":[94],"estimated":[95],"by":[96],"generalized":[98],"additive":[99],"mixed":[100],"to":[102,106,123,160],"allow":[103],"analyst":[105],"annotate":[107],"point":[109],"estimates":[110],"mixed-effects":[114],"model,":[115],"and":[116],"thereafter":[117],"employs":[118],"Brent's":[119],"constrained":[120],"optimization":[121],"procedure":[122],"fine-tune":[124],"manually":[126],"provided":[127],"estimates.":[128],"We":[129],"validate":[130],"our":[131],"using":[133],"three":[134],"real-world":[135],"datasets.":[137],"not":[140],"only":[141],"outperforms":[142],"state-of-the-art":[143],"terms":[147,165],"prediction":[149],"performance":[150],"but":[151],"also":[152],"provides":[153],"interpretable":[155,172],"results.":[156],"study":[158],"contributes":[159],"science":[163],"developing":[167],"new":[169],"analysis":[178],"uncovers":[179],"interesting":[180],"insights":[181],"on":[182],"researchers.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
