{"id":"https://openalex.org/W4415728560","doi":"https://doi.org/10.1007/s44163-025-00556-7","title":"Artificial intelligence-driven personalized space design and implementation in the aging-friendly renovation of smart home","display_name":"Artificial intelligence-driven personalized space design and implementation in the aging-friendly renovation of smart home","publication_year":2025,"publication_date":"2025-10-31","ids":{"openalex":"https://openalex.org/W4415728560","doi":"https://doi.org/10.1007/s44163-025-00556-7"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00556-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00556-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00556-7.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00556-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101890903","display_name":"Dan Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dan Jiang","raw_affiliation_strings":["Shanghai Zhongqiao Vocational and Technical University, Shanghai, 201514, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Zhongqiao Vocational and Technical University, Shanghai, 201514, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5101890903"],"corresponding_institution_ids":[],"apc_list":{"value":1340,"currency":"USD","value_usd":1340},"apc_paid":{"value":1340,"currency":"USD","value_usd":1340},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24716177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.20839999616146088,"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":0.20839999616146088,"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.10090000182390213,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11977","display_name":"Technology Use by Older Adults","score":0.0560000017285347,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6725000143051147},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5817000269889832},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.5038999915122986},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.48820000886917114},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4731000065803528},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.39980000257492065},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.35280001163482666},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.3472999930381775}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6725000143051147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140000224113464},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5817000269889832},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.5038999915122986},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.48820000886917114},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4731000065803528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44780001044273376},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4171999990940094},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.39980000257492065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36820000410079956},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.3472999930381775},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C16320812","wikidata":"https://www.wikidata.org/wiki/Q1812200","display_name":"Idle","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26589998602867126},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C172195944","wikidata":"https://www.wikidata.org/wiki/Q541265","display_name":"Ubiquitous computing","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00556-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00556-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00556-7.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0a756e7f04234bfebb18e6530309f06b","is_oa":true,"landing_page_url":"https://doaj.org/article/0a756e7f04234bfebb18e6530309f06b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-17 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00556-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00556-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00556-7.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415728560.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W3009395916","https://openalex.org/W3091887760","https://openalex.org/W3144158845","https://openalex.org/W3198246628","https://openalex.org/W4213095868","https://openalex.org/W4225402027","https://openalex.org/W4282580636","https://openalex.org/W4285011154","https://openalex.org/W4295197107","https://openalex.org/W4368232303","https://openalex.org/W4386529406","https://openalex.org/W4387717422","https://openalex.org/W4387986906","https://openalex.org/W4388729150","https://openalex.org/W4388838013","https://openalex.org/W4390342970","https://openalex.org/W4391097179","https://openalex.org/W4401855919","https://openalex.org/W4402317868","https://openalex.org/W4403521571","https://openalex.org/W4403704202"],"related_works":[],"abstract_inverted_index":{"Against":[0],"the":[1,4,65,143,167,197,205,218,223,240,250,281,296,307,315],"backdrop":[2],"of":[3,89,169,191,215,222,298,318],"global":[5],"rapid":[6],"transition":[7],"to":[8,13,18,50,76,100,159,195,202,212],"an":[9,266],"aging":[10],"society,":[11],"how":[12],"utilize":[14],"smart":[15,319],"home":[16],"technology":[17],"achieve":[19],"efficient":[20],"and":[21,32,41,85,108,115,140,171,204,270,289,301],"personalized":[22,252,290],"aging-friendly":[23,316],"transformation":[24,317],"has":[25],"become":[26],"a":[27,38,52,61,68,110,124,133,305,310],"common":[28],"focus":[29],"in":[30,60,72,178,283],"academic":[31],"practical":[33,312],"fields.":[34],"This":[35,292],"study":[36,66,174,258,308],"proposes":[37,265],"space":[39,90,268],"generation":[40,269],"optimization":[42,271],"framework":[43],"integrated":[44],"with":[45],"Artificial":[46],"Intelligence":[47],"(AI),":[48],"aiming":[49],"create":[51],"dynamically":[53],"adaptive":[54],"living":[55],"environment":[56],"for":[57,275,314],"elderly":[58,74,180,276],"users":[59],"data-driven":[62],"manner.":[63],"First,":[64],"deploys":[67],"multi-type":[69],"sensor":[70],"system":[71],"typical":[73],"households":[75],"collect":[77],"multi-dimensional":[78],"data,":[79],"including":[80],"behavior":[81,219,299],"trajectories,":[82],"activity":[83,106,192],"intensity,":[84],"spatial":[86,144,161,198,229],"usage":[87],"heat":[88],"usage.":[91],"Subsequently,":[92],"it":[93,264,279],"uses":[94],"Long":[95],"Short-Term":[96],"Memory":[97],"(LSTM)":[98],"network":[99],"model":[101,225],"time-series":[102],"behaviors,":[103],"extract":[104],"daily":[105],"patterns,":[107],"establish":[109],"mapping":[111],"relationship":[112],"between":[113],"behaviors":[114],"needs":[116],"based":[117],"on":[118,137],"these":[119],"patterns.":[120],"On":[121],"this":[122,257],"basis,":[123],"Reinforcement":[125],"Learning":[126],"(RL)":[127],"mechanism":[128,243],"is":[129,146,157,293],"introduced.":[130],"By":[131],"constructing":[132],"reward":[134],"function":[135],"centered":[136],"safety,":[138],"convenience,":[139],"individual":[141],"preferences,":[142],"layout":[145,230],"continuously":[147],"optimized":[148,232],"through":[149,295],"iteration.":[150],"Furthermore,":[151],"Conditional":[152],"Generative":[153],"Adversarial":[154],"Network":[155],"(cGAN)":[156],"used":[158],"generate":[160],"sketch":[162],"designs,":[163],"which":[164],"significantly":[165,248],"improves":[166],"efficiency":[168],"interaction":[170],"visualization.":[172],"The":[173,188,228],"conducts":[175],"empirical":[176],"verification":[177],"three":[179],"household":[181],"samples.":[182],"Comparative":[183],"experimental":[184],"results":[185],"show":[186],"that:":[187],"coverage":[189],"rate":[190,200],"areas":[193],"increases":[194,235],"71.6%,":[196],"idle":[199],"decreases":[201],"12.9%,":[203],"user":[206,241],"satisfaction":[207],"score":[208],"rises":[209],"from":[210],"2.9":[211],"4.7":[213],"(out":[214],"5).":[216],"Meanwhile,":[217],"recognition":[220],"accuracy":[221],"LSTM":[224],"reaches":[226],"91.8%.":[227],"adaptability":[231],"by":[233,236],"RL":[234],"22.7%.":[237],"In":[238,255],"addition,":[239],"feedback":[242],"effectively":[244],"promotes":[245],"continuous":[246],"optimization,":[247],"enhancing":[249],"system\u2019s":[251],"response":[253],"capability.":[254],"general,":[256],"achieves":[259],"two":[260],"main":[261],"objectives.":[262],"Firstly,":[263],"intelligent":[267],"method":[272],"specifically":[273],"designed":[274],"users.":[277],"Secondly,":[278],"addresses":[280],"deficiencies":[282],"existing":[284],"research":[285],"regarding":[286],"dynamic":[287],"adaptation":[288],"design.":[291],"accomplished":[294],"synergy":[297],"modeling":[300],"generative":[302],"optimization.":[303],"As":[304],"result,":[306],"provides":[309],"technically":[311],"path":[313],"homes.":[320]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-31T00:00:00"}