{"id":"https://openalex.org/W2195048413","doi":null,"title":"A Bayesian Approach to Determine Focus of Attention in Spatial and Time-Sensitive Decision Making Scenarios","display_name":"A Bayesian Approach to Determine Focus of Attention in Spatial and Time-Sensitive Decision Making Scenarios","publication_year":2014,"publication_date":"2014-06-18","ids":{"openalex":"https://openalex.org/W2195048413","mag":"2195048413"},"language":"en","primary_location":{"id":"mag:2195048413","doi":null,"is_oa":false,"landing_page_url":"http://www.aaai.org/ocs/index.php/WS/AAAIW14/paper/download/8763/8362","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5100377770","display_name":"Yuting Li","orcid":"https://orcid.org/0000-0002-6296-4054","observed_orcids":["https://orcid.org/0000-0002-6296-4054"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuting Li","raw_affiliation_strings":["PURDUE UNIVERSITY"],"raw_orcid":"https://orcid.org/0000-0002-6296-4054","affiliations":[{"raw_affiliation_string":"PURDUE UNIVERSITY","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072528523","display_name":"Juan Pablo Wachs","orcid":"https://orcid.org/0000-0002-6425-5745","observed_orcids":["https://orcid.org/0000-0002-6425-5745"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan Wachs","raw_affiliation_strings":["PURDUE UNIVERSITY"],"raw_orcid":"https://orcid.org/0000-0002-6425-5745","affiliations":[{"raw_affiliation_string":"PURDUE UNIVERSITY","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.9241,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66072653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.8393999934196472,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.8393999934196472,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"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/T10789","display_name":"Interactive and Immersive Displays","score":0.07590000331401825,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.022600000724196434,"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/attentional-focus","display_name":"attentional focus","score":0.9430000185966492},{"id":"https://openalex.org/keywords/human-machine-systems","display_name":"human-machine systems","score":0.6480000019073486},{"id":"https://openalex.org/keywords/embodied-interaction","display_name":"embodied interaction","score":0.8840000033378601},{"id":"https://openalex.org/keywords/body-expression","display_name":"body expression","score":0.7310000061988831},{"id":"https://openalex.org/keywords/gesture-interaction","display_name":"gesture-based interaction","score":0.7049999833106995},{"id":"https://openalex.org/keywords/voice-interaction","display_name":"voice interaction","score":0.6710000038146973},{"id":"https://openalex.org/keywords/body-balance","display_name":"body balance","score":0.8949999809265137},{"id":"https://openalex.org/keywords/task-performance","display_name":"task performance","score":0.703000009059906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7517510652542114},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6955755949020386},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.663320779800415},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6250016689300537},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6051007509231567},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.592404305934906},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5305908918380737},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.4996037483215332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47935348749160767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4748677909374237},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45709294080734253},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.42691320180892944},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.41899752616882324},{"id":"https://openalex.org/C2779351106","wikidata":"https://www.wikidata.org/wiki/Q24965456","display_name":"Decision quality","level":3,"score":0.4176174998283386},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C57035238","wikidata":"https://www.wikidata.org/wiki/Q16938583","display_name":"Team effectiveness","level":2,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2195048413","doi":null,"is_oa":false,"landing_page_url":"http://www.aaai.org/ocs/index.php/WS/AAAIW14/paper/download/8763/8362","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W401941822","https://openalex.org/W1523680690","https://openalex.org/W1989020770","https://openalex.org/W2093810700","https://openalex.org/W2110017066","https://openalex.org/W2110721800","https://openalex.org/W2148026779","https://openalex.org/W2161632986","https://openalex.org/W2165500877","https://openalex.org/W2403250881"],"related_works":["https://openalex.org/W2064652374","https://openalex.org/W2028203063","https://openalex.org/W2765196628","https://openalex.org/W2556268504","https://openalex.org/W32085468","https://openalex.org/W7099442042","https://openalex.org/W1531785918","https://openalex.org/W2169154619","https://openalex.org/W7096785960","https://openalex.org/W6981342366"],"abstract_inverted_index":{"Complex":[0],"decision":[1],"making":[2],"scenarios":[3],"require":[4],"maintaining":[5],"high":[6],"level":[7,71],"of":[8,16,22,72,99,144,165,171],"concentration":[9],"and":[10,62,68,109,130,150],"acquiring":[11],"knowledge":[12],"about":[13],"the":[14,17,34,39,70,137,142,163,166],"context":[15],"task":[18,151],"in":[19,79,113,162,168],"hand.":[20],"Focus":[21],"attention":[23,73,100,146],"is":[24],"not":[25],"only":[26],"affected":[27],"by":[28,33],"contextual":[29],"factors":[30],"but":[31],"also":[32],"way":[35],"operators":[36],"interact":[37,46],"with":[38,47],"information.":[40],"Conversely,":[41],"determining":[42,58,160],"optimal":[43],"ways":[44],"to":[45,65,95,135],"this":[48],"information":[49],"can":[50],"augment":[51],"operators\u2019":[52],"cognition.":[53],"However,":[54],"challenges":[55],"exist":[56],"for":[57],"efficient":[59],"mathematical":[60],"frameworks":[61],"sound":[63],"metrics":[64],"infer,":[66],"reason":[67],"assess":[69,136],"during":[74],"spatio-temporal":[75],"complex":[76],"problem":[77],"solving":[78],"hybrid":[80],"human-machine":[81],"systems.":[82],"This":[83],"paper":[84],"proposes":[85],"a":[86,91,159],"computational":[87],"framework":[88],"based":[89,101],"on":[90,102],"Bayesian":[92],"approach":[93],"(BAN)":[94],"infer":[96],"users\u2019":[97],"focus":[98],"physical":[103,156],"expression":[104],"generated":[105],"from":[106,147],"embodied":[107],"interaction":[108,120],"further":[110],"support":[111],"decision-making":[112],"an":[114],"unobtrusive":[115],"manner.":[116],"Experiments":[117],"involving":[118],"five":[119],"modalities":[121],"(vision-based":[122],"gesture":[123,126],"interaction,":[124,127],"glove-based":[125],"speech,":[128],"feet,":[129],"body":[131],"balance)":[132],"were":[133],"conducted":[134],"proposed":[138],"framework\u2019s":[139],"feasibility":[140],"including":[141],"likelihood":[143],"assessed":[145],"enhanced":[148],"BAN":[149],"performance.":[152],"Results":[153],"confirm":[154],"that":[155],"expressions":[157],"have":[158],"effect":[161],"quality":[164],"solutions":[167],"spatio-navigational":[169],"type":[170],"problems.":[172]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}