{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T23:05:13Z","timestamp":1767913513256,"version":"3.49.0"},"reference-count":48,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T00:00:00Z","timestamp":1632787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T00:00:00Z","timestamp":1632787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T00:00:00Z","timestamp":1632787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,28]]},"DOI":"10.1109\/acii52823.2021.9597434","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T22:55:44Z","timestamp":1637016944000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["Automatic Recognition of Flow During Work Activities Using Context and Physiological Signals"],"prefix":"10.1109","author":[{"given":"Elena","family":"Di Lascio","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shkurta","family":"Gashi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maike E.","family":"Debus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Silvia","family":"Santini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"ulyanov","year":"2016"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7318762"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3214290"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2474131"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3397316"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3123021.3123046"},{"key":"ref36","article-title":"How was it? Exploiting smartphone sensing to measure implicit audience responses to live performances","author":"martella","year":"2015","journal-title":"Proceedings of the International Conference on Multimedia"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2017.00258"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2019.09.015"},{"key":"ref10","article-title":"Psychophysiological correlates of flow during daily activities","author":"gaggioli","year":"2013","journal-title":"Annual Review of Cybertherapy and Telemedicine"},{"key":"ref40","article-title":"Deep learning with python","author":"ketkar","year":"2018"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67431-5_13"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jesp.2014.01.009"},{"key":"ref13","article-title":"Detecting affective flow states of knowledge workers using physiological sensors","author":"lee","year":"2020"},{"key":"ref14","article-title":"Got flow? using machine learning on physiological data to classify flow","author":"rissler","year":"2018","journal-title":"Adj proceedings of CHI"},{"key":"ref15","article-title":"Deep-Flow: detecting optimal user experience from physiological data using deep neural networks","author":"maier","year":"2019","journal-title":"AAMAS"},{"key":"ref16","article-title":"Flow experience detection and analysis for game users by wearable devices-based physiological responses capture","author":"ye","year":"2020","journal-title":"IEEE Internet of Things Journal"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2015.06.023"},{"key":"ref18","article-title":"Positive computing: technology for well-being and human potential","author":"calvo","year":"2014"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1037\/a0035881"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3411813"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-2359-1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2017.2656886"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvb.2007.11.007"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-9088-8_16"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2993159"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753409"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-2359-1_8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1037\/a0018893"},{"key":"ref2","article-title":"Beyond boredom and anxiety","author":"csikzentmihalyi","year":"1975"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.3045269"},{"key":"ref1","article-title":"Finding flow: the psychology of engagement with everyday life","author":"csikszentmihalhi","year":"2020"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-1126-0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/s19194079"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48157-5_29"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3411821"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3267305.3267537"},{"key":"ref47","article-title":"Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: Concepts, tools, and techniques to build intelligent systems","author":"g\u00e9ron","year":"2019","journal-title":"O’Reilly Media"},{"key":"ref21","article-title":"Deep learning for human affect recognition: Insights and new developments","author":"rouast","year":"2015","journal-title":"IEEE Transactions on Affective Computing"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.764"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.07.010"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9176706"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2663204.2663236"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2017.18"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5465\/AMJ.2009.44636148"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557204"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MOBIHEALTH.2014.7015904"}],"event":{"name":"2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)","location":"Nara, Japan","start":{"date-parts":[[2021,9,28]]},"end":{"date-parts":[[2021,10,1]]}},"container-title":["2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9597394\/9597388\/09597434.pdf?arnumber=9597434","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:50:51Z","timestamp":1652201451000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9597434\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,28]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/acii52823.2021.9597434","relation":{},"subject":[],"published":{"date-parts":[[2021,9,28]]}}}