{"id":"https://openalex.org/W2795376812","doi":"https://doi.org/10.1145/3173574.3173597","title":"Surprise Me If You Can","display_name":"Surprise Me If You Can","publication_year":2018,"publication_date":"2018-04-19","ids":{"openalex":"https://openalex.org/W2795376812","doi":"https://doi.org/10.1145/3173574.3173597","mag":"2795376812"},"language":"en","primary_location":{"id":"doi:10.1145/3173574.3173597","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3173574.3173597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","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/A5069430572","display_name":"Xi Niu","orcid":"https://orcid.org/0000-0002-5418-6969"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xi Niu","raw_affiliation_strings":["University of North Carolina at Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040630757","display_name":"Fakhri Abbas","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fakhri Abbas","raw_affiliation_strings":["University of North Carolina at Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005530463","display_name":"Mary Lou Maher","orcid":"https://orcid.org/0000-0002-4150-0322"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mary Lou Maher","raw_affiliation_strings":["University of North Carolina, Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina, Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083877084","display_name":"Kazjon Grace","orcid":"https://orcid.org/0000-0002-0096-899X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kazjon Grace","raw_affiliation_strings":["The University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069430572"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":1.0625,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.82179137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9975000023841858,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9975000023841858,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/surprise","display_name":"Surprise","score":0.9831036329269409},{"id":"https://openalex.org/keywords/serendipity","display_name":"Serendipity","score":0.949994683265686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.761595606803894},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6618025302886963},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.6359628438949585},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.42894527316093445},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.42085063457489014},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4134420156478882},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4122040867805481},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4080235958099365},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33186155557632446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20166808366775513}],"concepts":[{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.9831036329269409},{"id":"https://openalex.org/C2779119418","wikidata":"https://www.wikidata.org/wiki/Q166039","display_name":"Serendipity","level":2,"score":0.949994683265686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761595606803894},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6618025302886963},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.6359628438949585},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.42894527316093445},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.42085063457489014},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4134420156478882},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4122040867805481},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4080235958099365},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33186155557632446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20166808366775513},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3173574.3173597","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3173574.3173597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W79244580","https://openalex.org/W147927391","https://openalex.org/W1507272366","https://openalex.org/W1536484964","https://openalex.org/W1547244403","https://openalex.org/W1583059097","https://openalex.org/W1686065478","https://openalex.org/W1719347172","https://openalex.org/W1880262756","https://openalex.org/W1971040550","https://openalex.org/W1980730196","https://openalex.org/W1984612928","https://openalex.org/W1989616852","https://openalex.org/W1993320088","https://openalex.org/W2009718036","https://openalex.org/W2014358499","https://openalex.org/W2031273691","https://openalex.org/W2039546655","https://openalex.org/W2042203976","https://openalex.org/W2045453095","https://openalex.org/W2048987619","https://openalex.org/W2061503185","https://openalex.org/W2081459780","https://openalex.org/W2083305840","https://openalex.org/W2086456706","https://openalex.org/W2087387194","https://openalex.org/W2131962202","https://openalex.org/W2132314908","https://openalex.org/W2135329168","https://openalex.org/W2148933855","https://openalex.org/W2155912844","https://openalex.org/W2164646033","https://openalex.org/W2165002216","https://openalex.org/W2174706414","https://openalex.org/W2293909974","https://openalex.org/W2319417657","https://openalex.org/W2405657842","https://openalex.org/W2562236173","https://openalex.org/W2563358120","https://openalex.org/W2567300290","https://openalex.org/W2734416456","https://openalex.org/W2803437449","https://openalex.org/W3138773240","https://openalex.org/W4231510805","https://openalex.org/W6630344629","https://openalex.org/W6807091881"],"related_works":["https://openalex.org/W4312541699","https://openalex.org/W4385848411","https://openalex.org/W2901850002","https://openalex.org/W4251329182","https://openalex.org/W1599110641","https://openalex.org/W1575740715","https://openalex.org/W1549403601","https://openalex.org/W2497510784","https://openalex.org/W2078352417","https://openalex.org/W4252183363"],"abstract_inverted_index":{"Our":[0],"natural":[1],"tendency":[2],"to":[3,14,70,111,165,173,180],"be":[4,68,79],"curious":[5],"is":[6,98,109,184],"increasingly":[7],"important":[8],"now":[9],"that":[10,31,58,76,85,106,183],"we":[11,38,117],"are":[12],"exposed":[13],"vast":[15],"amounts":[16],"of":[17,52,93,146,158,162,176],"information.":[18],"We":[19,74,135],"often":[20],"cope":[21],"with":[22,83,140],"this":[23,36,115],"overload":[24],"by":[25,90,100,186],"focusing":[26],"on":[27,48,125,131],"the":[28,87,107,112,129,144,159,174],"familiar:":[29],"information":[30,45,57,84,108],"matches":[32],"our":[33,91],"expectations.":[34],"In":[35],"paper":[37],"present":[39],"a":[40,49,101,166],"framework":[41,55,116],"for":[42,156],"interactive":[43],"serendipitous":[44],"discovery":[46],"based":[47,124],"computational":[50,160],"model":[51,92,97],"surprise.":[53],"This":[54,95,170],"delivers":[56],"users":[59,77,142],"were":[60],"not":[61],"actively":[62],"looking":[63],"for,":[64],"but":[65],"which":[66,104],"will":[67,78],"valuable":[69],"their":[71],"unexpressed":[72],"needs.":[73],"hypothesize":[75],"surprised":[80],"when":[81],"presented":[82],"violates":[86],"expectations":[88],"predicted":[89],"them.":[94],"surprise":[96,121,163],"balanced":[99],"value":[102],"component":[103],"ensures":[105],"relevant":[110],"user.":[113],"Within":[114],"have":[118],"implemented":[119],"two":[120,138],"models,":[122],"one":[123],"association":[126],"mining":[127],"and":[128,178],"other":[130],"topic":[132],"modeling":[133],"approaches.":[134],"evaluate":[136],"these":[137],"models":[139,161],"thirty":[141],"in":[143],"context":[145],"online":[147],"health":[148],"news":[149],"recommendation.":[150],"Positive":[151],"user":[152],"feedback":[153],"was":[154],"obtained":[155],"both":[157],"compared":[164],"baseline":[167],"random":[168],"method.":[169],"research":[171],"contributes":[172],"understanding":[175],"serendipity":[177,182],"how":[179],"\"engineer\"":[181],"favored":[185],"users.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}