{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:19:40Z","timestamp":1740169180220,"version":"3.37.3"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2981418","type":"journal-article","created":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T21:04:29Z","timestamp":1584479069000},"page":"58250-58259","source":"Crossref","is-referenced-by-count":9,"title":["Emotional Testing on Facebook\u2019s User Experience"],"prefix":"10.1109","volume":"8","author":[{"given":"Roberto Stefano","family":"Mangion","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3868-0481","authenticated-orcid":false,"given":"Lalit","family":"Garg","sequence":"additional","affiliation":[]},{"given":"Gaurav","family":"Garg","sequence":"additional","affiliation":[]},{"given":"Owen","family":"Falzon","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.58.2.330"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.06.046"},{"journal-title":"Welch’s Power Spectral Density Estimate—MATLAB Pwelch","year":"2019","key":"ref33"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/978-3-319-70772-3_15","article-title":"Emotion recognition from EEG using rhythm synchronization patterns with joint time-frequency-space correlation","volume":"10654","author":"kuai","year":"2017","journal-title":"Brain Informatics"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2011.5771352"},{"key":"ref30","first-page":"5040","article-title":"Multimodal emotion recognition using EEG and eye tracking data","author":"zheng","year":"2014","journal-title":"Proc 36th Annu Int Conf IEEE Eng Med Biol Soc"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35139-6_17"},{"journal-title":"Lab 3 Spectral Analysis in Matlab—Part II Power Spectral Density (PSD) Estimation","year":"2012","author":"mirchandani","key":"ref36"},{"journal-title":"Power Spectral Density or Mean-Square Spectrum Estimateusing Periodogram Method—Simulink","year":"2019","key":"ref35"},{"journal-title":"Lesson 6 The Periodogram","year":"2020","author":"nettleton","key":"ref34"},{"key":"ref10","first-page":"226","article-title":"Measuring emotions using eye tracking","volume":"2008","author":"de lemos","year":"2008","journal-title":"Proc Meas Behav"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/S0013-4694(97)00129-6"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.4236\/ijis.2012.224022"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"2074","DOI":"10.3390\/s18072074","article-title":"A review of emotion recognition using physiological signals","volume":"18","author":"shu","year":"2018","journal-title":"SENSORS"},{"key":"ref13","first-page":"1","article-title":"EEG-based emotion recognition","volume":"53","author":"bos","year":"2006","journal-title":"The Influence of Visual and Auditory Stimuli"},{"key":"ref14","first-page":"1170","article-title":"Combining eye movements and EEG to enhance emotion recognition","author":"lu","year":"2015","journal-title":"Proc Intern Joint Conf Artificial Intel (IJCAI)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2019.00046"},{"article-title":"International affective picture system (IAPS): Technical manual and affective ratings","year":"1997","author":"lang","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2712143"},{"key":"ref18","first-page":"69","article-title":"Emotion detection in the loop from brain signals and facial images","volume":"6","author":"savran","year":"2006","journal-title":"Proc eNTERFACE"},{"key":"ref19","first-page":"530","volume":"4105","author":"chanel","year":"2006","journal-title":"Emotion Assessment Arousal Evaluation Using EEG’s and Peripheral Physiological Signals"},{"key":"ref28","first-page":"10","article-title":"EEG signals to measure mental stress","volume":"2011","author":"subhani","year":"2011","journal-title":"Proc 2nd Int Conf Behav Cogn Psychol Sci (BCPS)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780195058239.003.0013"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.5120\/5769-7993"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1108\/EJM-09-2016-0511","article-title":"Consumer emotional brand attachment with social media brands and social media brand equity","volume":"53","author":"dwivedi","year":"2019","journal-title":"Eur J Marketing"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-08-052029-2.50007-3"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70742-6_33"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1500879.1500888"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1124772.1124925"},{"key":"ref7","first-page":"461","article-title":"Central Nervous System","author":"patton","year":"2016","journal-title":"Anatomy and Physiology"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/cogs.12762"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2891579"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-psych-010213-115043"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2019.01.004"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1080\/21646821.2017.1256722"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.15"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-5699-4_23"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1080\/00029238.1961.11080571","article-title":"The ten twenty electrode system: International federation of societies for electroencephalography and clinical neurophysiology","volume":"1","author":"mueller","year":"1961","journal-title":"Am J EEG Technol"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1111\/j.1529-1006.2004.00018.x"},{"key":"ref41","first-page":"1","article-title":"Using the student’s t-test with extremely small sample sizes","volume":"18","author":"de winter","year":"2013","journal-title":"Practical Assessment Res Eval"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-012-0147-6"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1590\/S0004-282X2001000500001"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2003.10.009"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/S0896-6273(01)00328-2"},{"journal-title":"G TEC Medical Engineering GMBH Austria","year":"2020","key":"ref25"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09039551.pdf?arnumber=9039551","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T20:11:24Z","timestamp":1643314284000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9039551\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2981418","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}