{"id":"https://openalex.org/W4416401311","doi":"https://doi.org/10.1109/ismar-adjunct68609.2025.00205","title":"HickStudyVR: A Hick\u2019s Law-Based Information Processing Speed Test in VR for Large Choice Sets","display_name":"HickStudyVR: A Hick\u2019s Law-Based Information Processing Speed Test in VR for Large Choice Sets","publication_year":2025,"publication_date":"2025-10-08","ids":{"openalex":"https://openalex.org/W4416401311","doi":"https://doi.org/10.1109/ismar-adjunct68609.2025.00205"},"language":null,"primary_location":{"id":"doi:10.1109/ismar-adjunct68609.2025.00205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar-adjunct68609.2025.00205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","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":null,"display_name":"Junha Choe","orcid":null},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junha Choe","raw_affiliation_strings":["Kangwon National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kangwon National University","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hyeeun Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeeun Cho","raw_affiliation_strings":["Kangwon National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kangwon National University","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haejun Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Haejun Kim","raw_affiliation_strings":["KAIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I157485424","https://openalex.org/I4210099236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063806810","display_name":"Woojoo Kim","orcid":"https://orcid.org/0000-0001-6203-7309"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woojoo Kim","raw_affiliation_strings":["Kangwon National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kangwon National University","institution_ids":["https://openalex.org/I165507594"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46566486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"817","last_page":"818"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11904","display_name":"Spatial Cognition and Navigation","score":0.31049999594688416,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11904","display_name":"Spatial Cognition and Navigation","score":0.31049999594688416,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.17110000550746918,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.06909999996423721,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/reciprocal","display_name":"Reciprocal","score":0.5573999881744385},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5406000018119812},{"id":"https://openalex.org/keywords/information-processing","display_name":"Information processing","score":0.47769999504089355},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4740000069141388},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.421099990606308},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.37689998745918274},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.3747999966144562},{"id":"https://openalex.org/keywords/stimulus","display_name":"Stimulus (psychology)","score":0.33820000290870667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6579999923706055},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.5573999881744385},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5406000018119812},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.47769999504089355},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4740000069141388},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4595000147819519},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.421099990606308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4115000069141388},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3587999939918518},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.33820000290870667},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.31700000166893005},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2694000005722046},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2635999917984009},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ismar-adjunct68609.2025.00205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar-adjunct68609.2025.00205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1990242729","https://openalex.org/W2006014203","https://openalex.org/W2014448832","https://openalex.org/W2073043297","https://openalex.org/W2165145573","https://openalex.org/W2589103037","https://openalex.org/W3028744379"],"related_works":[],"abstract_inverted_index":{"Hick\u2019s":[0,90],"law,":[1],"a":[2,57],"foundational":[3],"principle":[4],"in":[5,31,158],"human\u2013computer":[6],"interaction":[7,123],"(HCI),":[8],"predicts":[9],"that":[10],"reaction":[11],"time":[12],"increases":[13],"logarithmically":[14],"with":[15,65,83,95],"the":[16,47,50,106,121,134,147],"number":[17],"of":[18,49,136,149],"equally":[19],"likely":[20],"choices.":[21],"While":[22],"its":[23],"theoretical":[24],"value":[25],"is":[26],"well":[27],"established,":[28],"practical":[29],"applications":[30],"modern":[32],"HCI":[33],"remain":[34],"limited,":[35],"particularly":[36],"for":[37,155],"accurately":[38],"estimating":[39],"individual":[40],"information":[41],"processing":[42],"speed":[43],"(IPS),":[44],"defined":[45],"as":[46],"reciprocal":[48],"regression":[51],"slope.":[52],"This":[53],"study":[54,82],"introduces":[55],"HickStudyVR,":[56],"virtual":[58],"reality\u2013based":[59],"system":[60],"designed":[61],"to":[62,89,100,118],"measure":[63],"IPS":[64,96,127,144],"high":[66],"precision":[67],"by":[68],"minimizing":[69],"perceptual":[70],"and":[71,77,141,152],"motor":[72],"confounds":[73],"through":[74],"gaze-based":[75],"aiming":[76],"controller-based":[78],"selection.":[79],"A":[80],"pilot":[81],"four":[84],"participants":[85],"showed":[86],"strong":[87],"adherence":[88],"law":[91],"(all":[92],"R2>":[93],"0.94),":[94],"ranging":[97],"from":[98],"5.00":[99],"5.56":[101],"bit/s.":[102],"To":[103],"further":[104],"validate":[105],"system\u2019s":[107],"design,":[108],"future":[109],"work":[110],"will":[111,132],"compare":[112],"it":[113],"against":[114],"traditional":[115],"2D":[116],"layouts":[117],"determine":[119],"whether":[120],"VR-based":[122],"method":[124],"indeed":[125],"enhances":[126],"measurement":[128],"accuracy.":[129],"Additional":[130],"investigations":[131],"explore":[133],"impact":[135],"stimulus":[137],"type,":[138],"spatial":[139],"layout,":[140],"gamification":[142],"on":[143],"estimation,":[145],"supporting":[146],"development":[148],"more":[150],"robust":[151],"generalizable":[153],"tools":[154],"cognitive":[156],"assessment":[157],"immersive":[159],"environments.":[160]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-18T00:00:00"}
