{"id":"https://openalex.org/W4387321420","doi":"https://doi.org/10.1145/3594738.3611370","title":"Estimating Attention Allocation by Electrodermal Activity","display_name":"Estimating Attention Allocation by Electrodermal Activity","publication_year":2023,"publication_date":"2023-10-03","ids":{"openalex":"https://openalex.org/W4387321420","doi":"https://doi.org/10.1145/3594738.3611370"},"language":"en","primary_location":{"id":"doi:10.1145/3594738.3611370","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594738.3611370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Symposium on Wearable Computers","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/A5061877365","display_name":"Arinobu Niijima","orcid":"https://orcid.org/0000-0003-4884-9612"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Arinobu Niijima","raw_affiliation_strings":["NTT Human Informatics Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Human Informatics Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061877365"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.1808,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50022811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9004999995231628,"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":0.9004999995231628,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.623820960521698},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3250439763069153},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2753538489341736}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.623820960521698},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3250439763069153},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2753538489341736}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594738.3611370","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594738.3611370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Symposium on Wearable Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1983649795","https://openalex.org/W2080536330","https://openalex.org/W2089444094","https://openalex.org/W2143247347","https://openalex.org/W2162095066","https://openalex.org/W2163928512","https://openalex.org/W2344904449","https://openalex.org/W2401423026","https://openalex.org/W2606437352","https://openalex.org/W2767224350","https://openalex.org/W2911337763","https://openalex.org/W2936455647","https://openalex.org/W2941265295","https://openalex.org/W2980031354","https://openalex.org/W2982129672","https://openalex.org/W3003861784","https://openalex.org/W3047279706","https://openalex.org/W3091412767","https://openalex.org/W3160545975","https://openalex.org/W3207730889","https://openalex.org/W4200401307","https://openalex.org/W4240121866","https://openalex.org/W4242743388","https://openalex.org/W4283368962","https://openalex.org/W4310234852","https://openalex.org/W4386709233"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Electrodermal":[0],"activity":[1,8],"(EDA)":[2],"represents":[3],"changes":[4],"in":[5],"the":[6,10,44,47,53,81,93,96,127,134,137,150],"electrical":[7],"of":[9,18,46,56,83,95,129,136],"palmar":[11],"skin":[12],"and":[13,89,131,142,145],"serves":[14],"as":[15],"an":[16],"indicator":[17],"sympathetic":[19],"nervous":[20],"system":[21],"activity.":[22],"This":[23],"paper":[24],"presents":[25],"a":[26,64],"novel":[27],"method":[28,121],"for":[29],"estimating":[30,76],"attention":[31,35,78,124],"allocation":[32,79,125],"under":[33,86],"divided":[34],"conditions":[36],"using":[37],"only":[38],"EDA":[39,57],"data.":[40],"Our":[41],"approach":[42],"involves":[43],"use":[45],"low-frequency":[48],"power":[49],"spectrum":[50],"derived":[51],"from":[52],"phasic":[54],"component":[55],"associated":[58],"with":[59,63,126],"attentional":[60],"focus,":[61],"combined":[62],"machine":[65],"learning":[66],"classification":[67],"model.":[68],"We":[69],"conducted":[70],"three":[71],"user":[72],"studies":[73],"aimed":[74],"at":[75],"participants\u2019":[77],"during":[80],"performance":[82],"simple":[84],"tasks":[85],"both":[87],"visual":[88,112],"auditory":[90,114],"stimuli":[91,97,139],"where":[92],"frequencies":[94,135,151],"were":[98,140,152],"different,":[99],"identical,":[100],"or":[101,113],"ambiguous.":[102],"The":[103,116],"goal":[104],"was":[105],"to":[106],"estimate":[107,123,148],"whether":[108],"participants":[109],"focused":[110],"on":[111],"stimuli.":[115],"results":[117],"showed":[118],"that":[119],"our":[120],"could":[122,146],"accuracy":[128],"96%":[130],"73%":[132],"when":[133,149],"two":[138],"different":[141],"ambiguous,":[143],"respectively,":[144],"not":[147],"identical.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
