{"id":"https://openalex.org/W7135213049","doi":"https://doi.org/10.48550/arxiv.2603.11759","title":"Modeling Trial-and-Error Navigation With a Sequential Decision Model of Information Scent","display_name":"Modeling Trial-and-Error Navigation With a Sequential Decision Model of Information Scent","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7135213049","doi":"https://doi.org/10.48550/arxiv.2603.11759"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.11759","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11759","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.11759","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068181149","display_name":"Xiaofu Jin","orcid":"https://orcid.org/0000-0002-7239-3769"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Xiaofu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129094049","display_name":"Yunpeng Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Yunpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123362038","display_name":"Antti Oulasvirta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oulasvirta, Antti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.4099000096321106,"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"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.4099000096321106,"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.22930000722408295,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.1607999950647354,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47920000553131104},{"id":"https://openalex.org/keywords/framing","display_name":"Framing (construction)","score":0.4072999954223633},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.34549999237060547},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.32440000772476196},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.2937000095844269},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.2777000069618225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718999981880188},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47920000553131104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4406000077724457},{"id":"https://openalex.org/C169087156","wikidata":"https://www.wikidata.org/wiki/Q2131593","display_name":"Framing (construction)","level":2,"score":0.4072999954223633},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3278999924659729},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28690001368522644},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.11759","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11759","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.11759","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11759","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.738113522529602}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Users":[0],"often":[1],"struggle":[2],"to":[3,26,100,112,132],"locate":[4],"an":[5,8],"item":[6,111],"within":[7],"information":[9,70,177],"architecture,":[10],"particularly":[11],"when":[12,62,179],"links":[13,42,141],"are":[14,127],"ambiguous":[15],"or":[16],"deeply":[17],"nested":[18],"in":[19],"hierarchies.":[20],"Information":[21],"scent":[22,71,178],"has":[23],"been":[24],"used":[25],"explain":[27],"why":[28],"users":[29,38,47,87],"select":[30,49],"incorrect":[31],"links,":[32],"but":[33,93],"this":[34],"concept":[35,68],"assumes":[36],"that":[37,86,153,170],"see":[39],"all":[40],"available":[41],"before":[43],"deciding.":[44],"In":[45],"practice,":[46],"frequently":[48],"a":[50,76,146],"link":[51],"too":[52],"quickly,":[53],"overlook":[54],"relevant":[55],"cues,":[56],"and":[57,121,164,184],"then":[58],"rely":[59],"on":[60,145],"backtracking":[61],"errors":[63],"occur.":[64],"We":[65,168],"extend":[66],"the":[67,102,139,182,188],"of":[69,187],"by":[72,129,176],"framing":[73],"navigation":[74,158,189],"as":[75],"sequential":[77,183],"decision-making":[78],"problem":[79],"under":[80],"memory":[81],"constraints.":[82],"Specifically,":[83],"we":[84],"assume":[85],"do":[88],"not":[89],"scan":[90],"entire":[91],"pages":[92],"instead":[94],"inspect":[95,113],"strategically,":[96],"looking":[97],"\"just":[98],"enough\"":[99],"find":[101],"target":[103],"given":[104],"their":[105],"time":[106],"budget.":[107],"To":[108],"choose":[109,138],"which":[110],"next,":[114],"they":[115,136],"consider":[116],"both":[117,126],"local":[118],"(this":[119],"page)":[120],"global":[122],"(site)":[123],"scent;":[124],"however,":[125],"constrained":[128],"memory.":[130],"Trying":[131],"avoid":[133],"wasting":[134],"time,":[135],"occasionally":[137],"wrong":[140,162],"without":[142],"inspecting":[143],"everything":[144],"page.":[147],"Comparisons":[148],"with":[149],"empirical":[150],"data":[151],"show":[152],"our":[154],"model":[155],"replicates":[156],"key":[157],"behaviors:":[159],"premature":[160],"selections,":[161],"turns,":[163],"recovery":[165],"from":[166],"backtracking.":[167],"conclude":[169],"trial-and-error":[171],"behavior":[172],"is":[173],"well":[174],"explained":[175],"accounting":[180],"for":[181],"bounded":[185],"characteristics":[186],"problem.":[190]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-14T00:00:00"}
