{"id":"https://openalex.org/W4366594011","doi":"https://doi.org/10.1145/3544548.3580905","title":"Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback","display_name":"Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback","publication_year":2023,"publication_date":"2023-04-19","ids":{"openalex":"https://openalex.org/W4366594011","doi":"https://doi.org/10.1145/3544548.3580905"},"language":"en","primary_location":{"id":"doi:10.1145/3544548.3580905","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544548.3580905","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544548.3580905","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","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/10.1145/3544548.3580905","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020937263","display_name":"Songlin Xu","orcid":"https://orcid.org/0000-0002-3674-922X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Songlin Xu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, United States"],"raw_orcid":"https://orcid.org/0000-0002-3674-922X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, United States","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100390687","display_name":"Xinyu Zhang","orcid":"https://orcid.org/0000-0001-9688-8056"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyu Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California San Diego, United States"],"raw_orcid":"https://orcid.org/0000-0001-9688-8056","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego, United States","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9359999895095825,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T12805","display_name":"Cognitive Science and Mapping","score":0.9143000245094299,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7138042449951172},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.6302180886268616},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5491676926612854},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.4585667848587036},{"id":"https://openalex.org/keywords/visual-feedback","display_name":"Visual feedback","score":0.4157816469669342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3756275177001953},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3245108723640442},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23640745878219604},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.19664791226387024}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7138042449951172},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6302180886268616},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5491676926612854},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.4585667848587036},{"id":"https://openalex.org/C3020716817","wikidata":"https://www.wikidata.org/wiki/Q4132092","display_name":"Visual feedback","level":2,"score":0.4157816469669342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3756275177001953},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3245108723640442},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23640745878219604},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19664791226387024}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3544548.3580905","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544548.3580905","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544548.3580905","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3544548.3580905","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544548.3580905","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544548.3580905","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.550000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G8002976388","display_name":null,"funder_award_id":"CNS-1901048, CNS-1925767, and CNS-2128588.","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366594011.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W620331690","https://openalex.org/W1692693661","https://openalex.org/W1977269107","https://openalex.org/W2043736971","https://openalex.org/W2049120811","https://openalex.org/W2060678323","https://openalex.org/W2071288138","https://openalex.org/W2082441088","https://openalex.org/W2094928962","https://openalex.org/W2136154277","https://openalex.org/W2149917593","https://openalex.org/W2406808753","https://openalex.org/W2508123380","https://openalex.org/W2550717387","https://openalex.org/W2611333394","https://openalex.org/W2624804445","https://openalex.org/W2626730834","https://openalex.org/W2790724973","https://openalex.org/W2889263682","https://openalex.org/W2893789451","https://openalex.org/W2896126560","https://openalex.org/W2898962442","https://openalex.org/W2954209178","https://openalex.org/W2955142449","https://openalex.org/W2955873358","https://openalex.org/W2963489214","https://openalex.org/W2969465553","https://openalex.org/W2972559661","https://openalex.org/W2991047801","https://openalex.org/W2997591727","https://openalex.org/W3007509883","https://openalex.org/W3011199275","https://openalex.org/W3030431617","https://openalex.org/W3032407425","https://openalex.org/W3083090116","https://openalex.org/W3095227526","https://openalex.org/W3104868866","https://openalex.org/W3111615149","https://openalex.org/W3123839518","https://openalex.org/W3125291275","https://openalex.org/W3137989408","https://openalex.org/W3159980834","https://openalex.org/W3161394208","https://openalex.org/W3163322284","https://openalex.org/W3171599858","https://openalex.org/W3209354248","https://openalex.org/W3216772467","https://openalex.org/W4220970489","https://openalex.org/W4225156048"],"related_works":["https://openalex.org/W2080261073","https://openalex.org/W2368927203","https://openalex.org/W2109092110","https://openalex.org/W2081348319","https://openalex.org/W3156433428","https://openalex.org/W1974622901","https://openalex.org/W4248151009","https://openalex.org/W3127991229","https://openalex.org/W2074627502","https://openalex.org/W2074292198"],"abstract_inverted_index":{"In":[0],"this":[1,72],"paper,":[2],"we":[3,18,93],"introduce":[4],"an":[5,121],"AI-mediated":[6],"framework":[7,97,135],"that":[8,98,115],"can":[9],"provide":[10,25],"intelligent":[11],"feedback":[12,29,41,58],"to":[13,24,30,65,104,142],"augment":[14],"human":[15],"cognition.":[16],"Specifically,":[17],"leverage":[19],"deep":[20],"reinforcement":[21],"learning":[22],"(DRL)":[23],"adaptive":[26],"time":[27,56],"pressure":[28,40,57],"improve":[31,44],"user":[32,47,51,90,106,117,125,138],"performance":[33,48,68,107],"in":[34,136,140],"a":[35,61,95,100],"math":[36],"arithmetic":[37],"task.":[38],"Time":[39],"could":[42,69],"either":[43],"or":[45],"deteriorate":[46],"by":[49,60,108],"regulating":[50],"attention":[52],"and":[53,79,88,130],"anxiety.":[54],"Adaptive":[55],"controlled":[59],"DRL":[62,77,102,113],"policy":[63],"according":[64],"users\u2019":[66],"real-time":[67],"potentially":[70],"solve":[71],"trade-off":[73],"problem.":[74],"However,":[75],"the":[76,128,133,143],"training":[78],"hyperparameter":[80],"tuning":[81],"may":[82],"require":[83],"large":[84],"amounts":[85],"of":[86,132],"data":[87],"iterative":[89],"studies.":[91],"Therefore,":[92],"propose":[94],"dual-DRL":[96,134],"trains":[99],"regulation":[101],"agent":[103,114],"regulate":[105],"interacting":[109],"with":[110],"another":[111],"simulation":[112],"mimics":[116],"cognition":[118],"behaviors":[119],"from":[120],"existing":[122],"dataset.":[123],"Our":[124],"study":[126],"demonstrates":[127],"feasibility":[129],"effectiveness":[131],"augmenting":[137],"performance,":[139],"comparison":[141],"baseline":[144],"group.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}