{"id":"https://openalex.org/W4400106502","doi":"https://doi.org/10.1145/3631700.3664914","title":"Toward privacy-focused personalization: Designing a learning experience to facilitate privacy-personalization trade-off","display_name":"Toward privacy-focused personalization: Designing a learning experience to facilitate privacy-personalization trade-off","publication_year":2024,"publication_date":"2024-06-27","ids":{"openalex":"https://openalex.org/W4400106502","doi":"https://doi.org/10.1145/3631700.3664914"},"language":"en","primary_location":{"id":"doi:10.1145/3631700.3664914","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3631700.3664914","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3631700.3664914?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3631700.3664914?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024938562","display_name":"Adrienn Toth","orcid":"https://orcid.org/0000-0001-9009-1345"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Adrienn Toth","raw_affiliation_strings":["D-GESS, Professorship of Security, Privacy and Society, ETH Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-9009-1345","affiliations":[{"raw_affiliation_string":"D-GESS, Professorship of Security, Privacy and Society, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024938562"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":0.7292,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7253886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.996399998664856,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10355","display_name":"Impact of Technology on Adolescents","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/personalization","display_name":"Personalization","score":0.90179443359375},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.6910787224769592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6492911577224731},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.6011744737625122},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.5166780948638916},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.49300262331962585},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4015468657016754}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.90179443359375},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.6910787224769592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6492911577224731},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.6011744737625122},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.5166780948638916},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.49300262331962585},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4015468657016754}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3631700.3664914","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3631700.3664914","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3631700.3664914?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3631700.3664914","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3631700.3664914","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3631700.3664914?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400106502.pdf","grobid_xml":"https://content.openalex.org/works/W4400106502.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W131038430","https://openalex.org/W1532417392","https://openalex.org/W1970209023","https://openalex.org/W1976637107","https://openalex.org/W1994510396","https://openalex.org/W2006460222","https://openalex.org/W2077266243","https://openalex.org/W2137576942","https://openalex.org/W2294991531","https://openalex.org/W2524374361","https://openalex.org/W2949109425","https://openalex.org/W2981863007","https://openalex.org/W3009346228","https://openalex.org/W3028852563","https://openalex.org/W3124701710","https://openalex.org/W3150111307","https://openalex.org/W3166011365","https://openalex.org/W4205809757","https://openalex.org/W4206601373","https://openalex.org/W4239050234","https://openalex.org/W4242883546","https://openalex.org/W4248496639","https://openalex.org/W4280591445"],"related_works":["https://openalex.org/W2584827882","https://openalex.org/W2528109871","https://openalex.org/W3027166605","https://openalex.org/W3134350841","https://openalex.org/W3136495642","https://openalex.org/W3129454145","https://openalex.org/W3153181207","https://openalex.org/W2110748233","https://openalex.org/W4225340788","https://openalex.org/W4318485713"],"abstract_inverted_index":{"In":[0,49],"recent":[1],"years,":[2],"as":[3],"a":[4,106,168],"result":[5],"of":[6,9,21,33,35,74,83,131,139,142,174,217],"the":[7,19,30,72,75,126,135,152,202,210,218,230],"emergence":[8],"innovative":[10],"technologies":[11],"and":[12,37,81,104,117,137,181,191,209,214],"applications,":[13,41],"several":[14],"solutions":[15],"aiming":[16],"to":[17,29,55,57,68,125,154,159,166,227],"improve":[18],"quality":[20],"education":[22,45,85],"have":[23,225],"been":[24],"appearing.":[25],"However,":[26],"mainly":[27],"due":[28],"human":[31],"factor":[32],"lack":[34],"understanding":[36],"trust":[38],"in":[39,61,120,164,188],"these":[40,98],"adoption":[42],"by":[43],"higher":[44,84],"institutions":[46],"remained":[47],"low.":[48],"my":[50],"doctoral":[51],"thesis,":[52],"I":[53,66,100,194,224],"aim":[54],"contribute":[56],"overcoming":[58],"this":[59,132,175,196],"barrier":[60],"two":[62],"main":[63],"steps.":[64],"First,":[65],"try":[67],"understand":[69],"more":[70],"deeply":[71],"nature":[73],"existing":[76],"contrast":[77],"between":[78],"perceived":[79],"benefits":[80],"concerns":[82,180],"students":[86],"regarding":[87],"one":[88],"specific":[89],"application":[90],"area,":[91],"artificial":[92],"intelligence-based":[93],"personalized":[94,108,169],"learning.":[95],"Building":[96],"on":[97,178],"results,":[99],"will":[101,184],"then":[102,185],"design":[103,176],"evaluate":[105],"new":[107],"learning":[109,170,182],"tool,":[110],"developed":[111],"specifically":[112,123],"with":[113],"user-centered":[114],"data":[115,162],"privacy":[116,179],"ethical":[118],"considerations":[119],"mind":[121],"that":[122,146],"respond":[124],"identified":[127],"concerns.":[128],"The":[129,172],"uniqueness":[130],"tool":[133],"is":[134,222],"transparency":[136],"controllability":[138],"different":[140],"levels":[141],"personalization,":[143],"which":[144,155,221],"ensures":[145],"each":[147],"student":[148],"can":[149],"freely":[150],"choose":[151],"extent":[153],"they":[156],"are":[157],"willing":[158],"make":[160],"their":[161],"available":[163],"order":[165],"receive":[167],"experience.":[171],"effects":[173],"principle":[177],"outcomes":[183],"be":[186],"tested":[187],"multiple":[189],"lab-":[190],"field":[192],"studies.":[193],"believe":[195],"project":[197],"fits":[198],"well":[199],"into":[200],"both":[201],"\u201cPersonalizing":[203],"Learning":[204],"Experiences":[205],"through":[206],"User":[207],"Modeling\u201d":[208],"\u201cFairness,":[211],"Transparency,":[212],"Accountability,":[213],"Privacy\u201d":[215],"tracks":[216],"UMAP":[219],"conference,":[220],"why":[223],"decided":[226],"apply":[228],"for":[229],"Doctoral":[231],"Consortium.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}