{"id":"https://openalex.org/W2936706138","doi":"https://doi.org/10.1201/9780429507670-11","title":"Population-Specific and Personalized (PSP) Models of Human Behavior for Leveraging Smart and Connected Data","display_name":"Population-Specific and Personalized (PSP) Models of Human Behavior for Leveraging Smart and Connected Data","publication_year":2019,"publication_date":"2019-03-19","ids":{"openalex":"https://openalex.org/W2936706138","doi":"https://doi.org/10.1201/9780429507670-11","mag":"2936706138"},"language":"en","primary_location":{"id":"doi:10.1201/9780429507670-11","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9780429507670-11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Data","raw_type":"book-chapter"},"type":"book-chapter","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/A5029799530","display_name":"Theodora Chaspari","orcid":"https://orcid.org/0000-0002-7603-8633"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Theodora Chaspari","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022807203","display_name":"Adela C. Timmons","orcid":"https://orcid.org/0000-0001-8518-8812"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adela C. Timmons","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5037074489","display_name":"Gayla Margolin","orcid":"https://orcid.org/0000-0002-1713-0640"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gayla Margolin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029799530"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9538,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.734375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"243","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.9919000267982483,"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"}},"topics":[{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.9919000267982483,"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"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9606999754905701,"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/T13283","display_name":"Mental Health Research Topics","score":0.9330999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.544157087802887},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3865060806274414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544157087802887},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3865060806274414}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9780429507670-11","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9780429507670-11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Data","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W1547859334"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2096946506","https://openalex.org/W2350741829","https://openalex.org/W4247880953","https://openalex.org/W1996408511"],"abstract_inverted_index":{"Human":[0],"behavior":[1,31,54,178],"is":[2,121],"a":[3,33,94],"multifaceted":[4],"phenomenon":[5],"that":[6,99,120,139],"involves":[7],"the":[8,11,13,16,23,37,42,49,65,116,125,147,174],"interaction":[9],"of":[10,26,29,45,52,68,88,97,108,118,127,156,176],"mind,":[12],"body,":[14],"and":[15,19,84,103,134,150,160,169,179],"brain.":[17],"Wearable":[18],"mobile":[20],"technologies":[21],"allow":[22],"continuous":[24],"recording":[25],"longitudinal":[27],"data":[28,46,119],"human":[30,53,69,89,109,177],"on":[32,101,131,146,181],"daily":[34],"basis.":[35],"Despite":[36],"tremendous":[38],"opportunities":[39],"resulting":[40],"from":[41],"large":[43],"volume":[44],"being":[47],"collected,":[48],"inherent":[50],"diversity":[51],"still":[55],"poses":[56],"significant":[57],"challenges":[58],"in":[59,154,165],"quantifying":[60],"such":[61],"data.":[62],"Combined":[63],"with":[64],"limited":[66],"availability":[67],"experts,":[70],"computational":[71,106,157],"models":[72,107,141],"developed":[73],"for":[74,82,172],"conventional,":[75],"well-established":[76],"tasks":[77],"might":[78],"not":[79],"work":[80,130],"well":[81],"detecting":[83],"predicting":[85],"subtle":[86],"aspects":[87],"behavior.":[90],"This":[91],"chapter":[92],"discusses":[93],"new":[95],"line":[96],"research":[98],"focuses":[100],"population-specific":[102],"personalized":[104],"(PSP)":[105],"behavior,":[110],"which":[111],"make":[112],"decisions":[113],"by":[114],"emphasizing":[115],"subset":[117],"most":[122],"similar":[123],"to":[124,167],"subject":[126],"interest.":[128],"Emerging":[129],"signal":[132],"processing":[133],"machine":[135],"learning":[136],"algorithms":[137],"indicates":[138],"PSP":[140],"can":[142],"outperform":[143],"systems":[144],"learned":[145],"general":[148],"population":[149],"also":[151],"have":[152],"advantages":[153],"terms":[155],"efficiency,":[158],"generalizability,":[159],"interpretability.":[161],"These":[162],"are":[163],"discussed":[164],"relation":[166],"health":[168],"well-being":[170],"applications":[171],"promoting":[173],"understanding":[175],"intervening":[180],"it.":[182]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}