{"id":"https://openalex.org/W7163022520","doi":"https://doi.org/10.1145/3774935.3806188","title":"User Modelling and Adaptation in Immersive Preventive Health Interventions: A Systematic Review and Evidence Map","display_name":"User Modelling and Adaptation in Immersive Preventive Health Interventions: A Systematic Review and Evidence Map","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163022520","doi":"https://doi.org/10.1145/3774935.3806188"},"language":null,"primary_location":{"id":"doi:10.1145/3774935.3806188","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774935.3806188","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774935.3806188","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120057773","display_name":"Mark Atta Mensah","orcid":null},"institutions":[{"id":"https://openalex.org/I138690464","display_name":"University of Ghana","ror":"https://ror.org/01r22mr83","country_code":"GH","type":"education","lineage":["https://openalex.org/I138690464"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Mark Atta Mensah","raw_affiliation_strings":["Electrical Engineering and Computer Science, York University, Toronto, Ontario, Canada and Department of Computer Science, University of Ghana, Legon, Greater Accra, Ghana"],"raw_orcid":"https://orcid.org/0000-0003-3245-7382","affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, York University, Toronto, Ontario, Canada and Department of Computer Science, University of Ghana, Legon, Greater Accra, Ghana","institution_ids":["https://openalex.org/I138690464"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126703333","display_name":"Evans Kwasi","orcid":null},"institutions":[{"id":"https://openalex.org/I138690464","display_name":"University of Ghana","ror":"https://ror.org/01r22mr83","country_code":"GH","type":"education","lineage":["https://openalex.org/I138690464"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Evans Kwasi","raw_affiliation_strings":["Department of Computer Science, University of Ghana, Legon, Accra, Ghana"],"raw_orcid":"https://orcid.org/0009-0004-0278-5152","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Ghana, Legon, Accra, Ghana","institution_ids":["https://openalex.org/I138690464"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118830104","display_name":"Mohammed Abdulmawjood","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammed Abdulmawjood","raw_affiliation_strings":["Electrical Engineering and Computer Science, York University, Toronto, Canada"],"raw_orcid":"https://orcid.org/0009-0000-3782-8184","affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036389327","display_name":"Kiemute Oyibo","orcid":"https://orcid.org/0000-0001-8300-3343"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kiemute Oyibo","raw_affiliation_strings":["Electrical Engineering and Computer Science, York University, Toronto, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0001-8300-3343","affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, York University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61924686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"263","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.8353000283241272,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.8353000283241272,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11519","display_name":"Digital Mental Health Interventions","score":0.05510000139474869,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied 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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.03400000184774399,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/personalization","display_name":"Personalization","score":0.7028999924659729},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5913000106811523},{"id":"https://openalex.org/keywords/systematic-review","display_name":"Systematic review","score":0.4537000060081482},{"id":"https://openalex.org/keywords/digital-health","display_name":"Digital health","score":0.3817000091075897},{"id":"https://openalex.org/keywords/underpinning","display_name":"Underpinning","score":0.3813000023365021},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.3492000102996826},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.33880001306533813}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7028999924659729},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5913000106811523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5031999945640564},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4700999855995178},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.4537000060081482},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.4214000105857849},{"id":"https://openalex.org/C2780433410","wikidata":"https://www.wikidata.org/wiki/Q5276090","display_name":"Digital health","level":3,"score":0.3817000091075897},{"id":"https://openalex.org/C2780871342","wikidata":"https://www.wikidata.org/wiki/Q7883752","display_name":"Underpinning","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3587999939918518},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C19648533","wikidata":"https://www.wikidata.org/wiki/Q691640","display_name":"Evidence-based medicine","level":3,"score":0.32499998807907104},{"id":"https://openalex.org/C61904560","wikidata":"https://www.wikidata.org/wiki/Q1148359","display_name":"Grey literature","level":3,"score":0.31949999928474426},{"id":"https://openalex.org/C109359841","wikidata":"https://www.wikidata.org/wiki/Q728944","display_name":"Inclusion (mineral)","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3109999895095825},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25920000672340393},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2578999996185303},{"id":"https://openalex.org/C141330323","wikidata":"https://www.wikidata.org/wiki/Q2354820","display_name":"Evidence-based practice","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774935.3806188","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774935.3806188","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774935.3806188","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774935.3806188","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6699803471565247}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W192633714","https://openalex.org/W1580608761","https://openalex.org/W1983548206","https://openalex.org/W2015000462","https://openalex.org/W2020292934","https://openalex.org/W2036433269","https://openalex.org/W2043840501","https://openalex.org/W2066406304","https://openalex.org/W2084518431","https://openalex.org/W2112786892","https://openalex.org/W2157823046","https://openalex.org/W2161374186","https://openalex.org/W2162486273","https://openalex.org/W2474349496","https://openalex.org/W2531269403","https://openalex.org/W2580179128","https://openalex.org/W2795812087","https://openalex.org/W2896876036","https://openalex.org/W2901724277","https://openalex.org/W2947250242","https://openalex.org/W2952825918","https://openalex.org/W2954972306","https://openalex.org/W2970684805","https://openalex.org/W2975774002","https://openalex.org/W2994225161","https://openalex.org/W3015664108","https://openalex.org/W3016902371","https://openalex.org/W3019464087","https://openalex.org/W3118615836","https://openalex.org/W3118850202","https://openalex.org/W3199073155","https://openalex.org/W3206601670","https://openalex.org/W3216875504","https://openalex.org/W4220700908","https://openalex.org/W4220902507","https://openalex.org/W4238682048","https://openalex.org/W4306408225","https://openalex.org/W4378710422","https://openalex.org/W4381489157","https://openalex.org/W4399357151","https://openalex.org/W4400884340","https://openalex.org/W4401230908","https://openalex.org/W4411351312"],"related_works":[],"abstract_inverted_index":{"Immersive":[0],"technologies,":[1],"particularly":[2],"head-mounted":[3],"virtual":[4],"reality":[5],"(VR),":[6],"are":[7,23,187],"increasingly":[8],"used":[9],"to":[10,28,157,179,247],"support":[11,248],"preventive":[12,147,223],"health":[13],"behaviours,":[14],"but":[15],"the":[16,94,98,166,237],"user-modelling":[17],"and":[18,26,53,84,130,137,160,171,202,204,219,233,243],"adaptation":[19,198,226],"mechanisms":[20],"underpinning":[21],"personalisation":[22,101,252],"inconsistently":[24],"reported":[25,116,153,169,212],"difficult":[27],"compare":[29],"across":[30,42],"studies.":[31],"To":[32],"brige":[33],"this":[34],"gap,":[35],"a":[36,190],"PRISMA-guided":[37],"systematic":[38],"review":[39],"was":[40,102,151],"conducted":[41],"six":[43],"databases":[44],"(ACM":[45],"Digital":[46],"Library,":[47],"IEEE":[48],"Xplore,":[49],"Scopus,":[50],"PubMed/MEDLINE,":[51],"CINAHL,":[52],"APA":[54],"PsycINFO)":[55],"covering":[56],"studies":[57,92,168],"published":[58],"from":[59,231],"2010":[60],"onward.":[61],"The":[62],"search":[63],"returned":[64],"6,489":[65],"records;":[66],"after":[67],"deduplication,":[68],"6,333":[69],"unique":[70],"records":[71],"were":[72,76,82,124,141,177,228],"screened;":[73],"103":[74],"reports":[75,81],"sought":[77],"for":[78,86,239],"retrieval;":[79],"90":[80],"retrieved":[83,99],"assessed":[85,126],"eligibility,":[87],"out":[88,164],"of":[89,165],"which":[90],"27":[91,167],"met":[93],"inclusion":[95],"criteria.":[96],"Within":[97],"corpus,":[100],"predominantly":[103],"implemented":[104],"through":[105],"static":[106],"tailoring,":[107],"segment-level":[108],"targeting,":[109],"or":[110,120,181],"predefined":[111],"variants;":[112],"no":[113],"included":[114],"study":[115],"adaptive":[117],"user":[118,194,196],"modelling":[119,246],"closed-loop":[121],"updating.":[122],"Outcomes":[123],"primarily":[125],"as":[127],"immediate":[128],"intention":[129],"affective":[131],"responses,":[132],"whereas":[133],"behavioural":[134],"uptake":[135],"measures":[136],"longer":[138],"follow-up":[139,220],"windows":[140,221],"uncommon,":[142],"constraining":[143],"inference":[144],"about":[145,251],"sustained":[146],"action.":[148],"Cultural":[149],"tailoring":[150],"rarely":[152,229],"in":[154],"sufficient":[155],"detail":[156],"evaluate":[158],"value-alignment":[159],"norm-alignment;":[161],"only":[162],"one":[163],"value-aligned":[170],"norm-aligned":[172],"design,":[173],"while":[174],"most":[175],"others":[176],"limited":[178],"translation":[180],"surface":[182],"localisation.":[183],"Two":[184],"synthesis":[185],"artefacts":[186],"presented:":[188],"(i)":[189],"pipeline":[191],"taxonomy":[192],"linking":[193],"signals,":[195],"representations,":[197],"loci,":[199],"persuasive":[200],"strategies,":[201],"outcomes,":[203],"(ii)":[205],"an":[206],"evidence":[207],"map":[208],"summarising":[209],"outcome":[210],"coverage,":[211],"effect":[213,217],"direction":[214],"(not":[215],"pooled":[216],"sizes),":[218],"by":[222],"target.":[224],"Overall,":[225],"effects":[227],"isolated":[230],"immersion":[232],"content":[234],"effects,":[235],"underscoring":[236],"need":[238],"targeted":[240],"evaluation":[241],"designs":[242],"deeper":[244],"contextual":[245],"defensible":[249],"claims":[250],"benefits.":[253]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-06-02T00:00:00"}