{"id":"https://openalex.org/W4407692074","doi":"https://doi.org/10.1109/dsit61374.2024.10881491","title":"Integrating Big Data and Thick Data Analysis for User Experience Evaluation in Cultural Curation: A Case Study of the 2023 Hakka Expo in Taiwan","display_name":"Integrating Big Data and Thick Data Analysis for User Experience Evaluation in Cultural Curation: A Case Study of the 2023 Hakka Expo in Taiwan","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4407692074","doi":"https://doi.org/10.1109/dsit61374.2024.10881491"},"language":"en","primary_location":{"id":"doi:10.1109/dsit61374.2024.10881491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit61374.2024.10881491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091150240","display_name":"Sheng-Ming Wang","orcid":"https://orcid.org/0000-0002-4374-6756"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Ming Wang","raw_affiliation_strings":["National Taipei University of Technology,Department of Interaction Design,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Department of Interaction Design,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079446820","display_name":"Y Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yuan-Chen Zhang","raw_affiliation_strings":["National Taipei University of Technology,Doctoral Program in Design,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Doctoral Program in Design,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40045121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11462","display_name":"Museums and Cultural Heritage","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1209","display_name":"Museology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11462","display_name":"Museums and Cultural Heritage","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1209","display_name":"Museology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11410","display_name":"Cultural Industries and Urban Development","score":0.9545000195503235,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"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/data-curation","display_name":"Data curation","score":0.5739277005195618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5588247776031494},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5299077033996582},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4854898750782013},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3705105185508728},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15495020151138306}],"concepts":[{"id":"https://openalex.org/C91632574","wikidata":"https://www.wikidata.org/wiki/Q15088675","display_name":"Data curation","level":2,"score":0.5739277005195618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5588247776031494},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5299077033996582},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4854898750782013},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3705105185508728},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15495020151138306}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsit61374.2024.10881491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit61374.2024.10881491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.46000000834465027,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2121001699","https://openalex.org/W2594646398","https://openalex.org/W2756029264","https://openalex.org/W2910089763","https://openalex.org/W4313566453","https://openalex.org/W6753389814"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2731626691","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"an":[3],"integrated":[4],"approach":[5],"to":[6,192,202],"evaluating":[7],"user":[8,56,127,153],"experience":[9],"(UX)":[10],"in":[11,30,40,151,212],"cultural":[12,214],"curation":[13],"by":[14,101],"combining":[15],"big":[16,86,208],"data":[17,20,35,77,87,93,166,195,211],"and":[18,44,62,91,99,115,129,141,155,196,209],"thick":[19,49,92,165,210],"analyses,":[21],"with":[22,85,146,168,186],"a":[23,37,80,102,132,159,174,197],"focus":[24],"on":[25],"the":[26,67,70,107,113,120,178,205],"2023":[27,121],"Hakka":[28],"Expo":[29],"Taiwan":[31],"(2023":[32],"HEIT).":[33],"Big":[34],"plays":[36],"pivotal":[38],"role":[39],"identifying":[41,137],"UX":[42],"hotspots":[43],"directing":[45],"future":[46],"research,":[47],"while":[48],"data,":[50],"derived":[51],"from":[52,164,170],"sources":[53,167,201],"such":[54],"as":[55],"interviews,":[57],"curatorial":[58],"proposals,":[59],"news":[60],"reports,":[61],"social":[63],"media":[64],"exchanges,":[65],"captures":[66],"depth":[68],"of":[69,74,83,119,126,135,139,161,200,207],"UX.":[71],"The":[72,123],"fusion":[73],"these":[75],"two":[76],"types":[78],"provides":[79],"holistic":[81],"view":[82],"UX,":[84,136],"offering":[88],"quantitative":[89],"metrics":[90],"delivering":[94],"qualitative":[95],"insights":[96],"into":[97],"emotions":[98],"subtleties.Enhanced":[100],"Large":[103],"Language":[104],"Model":[105],"(LLM),":[106],"findings":[108],"reveal":[109],"that":[110,177],"users":[111],"valued":[112],"pragmatic":[114],"hedonic":[116],"design":[117],"elements":[118],"HEIT.":[122],"LLM's":[124],"analysis":[125],"feedback":[128],"comments":[130],"provided":[131],"detailed":[133],"understanding":[134],"areas":[138],"satisfaction":[140],"potential":[142],"enhancements,":[143],"which":[144],"aligns":[145],"research":[147,189],"highlighting":[148],"LLMs'":[149],"effectiveness":[150],"uncovering":[152],"preferences":[154],"emotional":[156],"responses.":[157],"However,":[158],"comparison":[160],"high-frequency":[162],"keywords":[163],"those":[169],"interview":[171],"scripts":[172],"revealed":[173],"discrepancy,":[175],"indicating":[176],"Expo's":[179],"main":[180],"messages":[181],"did":[182],"not":[183],"always":[184],"resonate":[185],"visitors.":[187],"Future":[188],"will":[190],"aim":[191],"incorporate":[193],"more":[194],"broader":[198],"range":[199],"better":[203],"understand":[204],"combination":[206],"studying":[213],"event":[215],"experiences.":[216]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}