{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:20:31Z","timestamp":1750220431706,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T00:00:00Z","timestamp":1624233600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"FCT - Funda\u00e7\u00e3o para a Ci\u00eanciae Tecnologia","award":["2020.06675.BD"],"award-info":[{"award-number":["2020.06675.BD"]}]},{"name":"FCT\/MCTES","award":["UIDB\/50008\/2020"],"award-info":[{"award-number":["UIDB\/50008\/2020"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,6,21]]},"DOI":"10.1145\/3452918.3465505","type":"proceedings-article","created":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T21:29:18Z","timestamp":1624483758000},"page":"199-204","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Smartphone-based Content Annotation for Ground Truth Collection in Affective Computing"],"prefix":"10.1145","author":[{"given":"Gon\u00e7alo Filipe Duarte","family":"Salvador","sequence":"first","affiliation":[{"name":"Department of Bioengineering Instituto Superior T\u00e9cnico, Portugal"}]},{"given":"Patr\u00edcia J.","family":"Bota","sequence":"additional","affiliation":[{"name":"Department of Bioengineering Instituto Superior T\u00e9cnico, Portugal"}]},{"given":"Vinoba","family":"Vinayagamoorthy","sequence":"additional","affiliation":[{"name":"BBC Research & Development, United Kingdom"}]},{"given":"Hugo","family":"Pl\u00e1cido da Silva","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunica\u00e7\u00f5es, Portugal"}]},{"given":"Ana","family":"Fred","sequence":"additional","affiliation":[{"name":"Department of Bioengineering Instituto Superior T\u00e9cnico, Portugal"}]}],"member":"320","published-online":{"date-parts":[[2021,6,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Aaron Bangor Philip\u00a0T Kortum and James\u00a0T Miller. 2008. An empirical evaluation of the system usability scale. Int\u2019l. Journal of Human\u2013Computer Interaction 24 6(2008) 574\u2013594. https:\/\/doi.org\/10.1080\/10447310802205776  Aaron Bangor Philip\u00a0T Kortum and James\u00a0T Miller. 2008. An empirical evaluation of the system usability scale. Int\u2019l. Journal of Human\u2013Computer Interaction 24 6(2008) 574\u2013594. https:\/\/doi.org\/10.1080\/10447310802205776","DOI":"10.1080\/10447310802205776"},{"key":"e_1_3_2_1_2_1","volume-title":"On the dimensionality of the System Usability Scale: a test of alternative measurement models. Cognitive processing 10, 3","author":"Borsci Simone","year":"2009","unstructured":"Simone Borsci , Stefano Federici , and Marco Lauriola . 2009. On the dimensionality of the System Usability Scale: a test of alternative measurement models. Cognitive processing 10, 3 ( 2009 ), 193\u2013197. https:\/\/doi.org\/10.1007\/s10339-009-0268-9 Simone Borsci, Stefano Federici, and Marco Lauriola. 2009. On the dimensionality of the System Usability Scale: a test of alternative measurement models. Cognitive processing 10, 3 (2009), 193\u2013197. https:\/\/doi.org\/10.1007\/s10339-009-0268-9"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2944001"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/0005-7916(94)90063-9"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3758\/BRM.41.1.113"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1177\/1541931215591373"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Sandra\u00a0G. Hart and Lowell\u00a0E. Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. In Human Mental Workload. Vol.\u00a052. 139\u2013183. https:\/\/doi.org\/10.1016\/S0166-4115(08)62386-9  Sandra\u00a0G. Hart and Lowell\u00a0E. Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. In Human Mental Workload. Vol.\u00a052. 139\u2013183. https:\/\/doi.org\/10.1016\/S0166-4115(08)62386-9","DOI":"10.1016\/S0166-4115(08)62386-9"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2781732"},{"key":"e_1_3_2_1_9_1","volume-title":"Proc. of the IEEE Int\u2019l Colloq. on Signal Processing and its Applications. 410\u2013415","author":"Jerritta S.","year":"2011","unstructured":"S. Jerritta , M. Murugappan , R. Nagarajan , and K. Wan . 2011. Physiological signals based human emotion recognition: a review . In Proc. of the IEEE Int\u2019l Colloq. on Signal Processing and its Applications. 410\u2013415 . https:\/\/doi.org\/10.1109\/CSPA. 2011 .5759912 S. Jerritta, M. Murugappan, R. Nagarajan, and K. Wan. 2011. Physiological signals based human emotion recognition: a review. In Proc. of the IEEE Int\u2019l Colloq. on Signal Processing and its Applications. 410\u2013415. https:\/\/doi.org\/10.1109\/CSPA.2011.5759912"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3057578"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2018.1455307"},{"key":"e_1_3_2_1_12_1","volume-title":"Item Benchmarks for the System Usability Scale. 13","author":"Lewis R","year":"2018","unstructured":"James\u00a0 R Lewis and Jeff Sauro . 2018. Item Benchmarks for the System Usability Scale. 13 ( 2018 ), 158\u2013167. James\u00a0R Lewis and Jeff Sauro. 2018. Item Benchmarks for the System Usability Scale. 13 (2018), 158\u2013167."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2808435.2808450"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Marco Maier Daniel Elsner Chadly Marouane Meike Zehnle and Christoph Fuchs. 2019. DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks.. In AAMAS. 2108\u20132110. https:\/\/doi.org\/10.24963\/ijcai.2019\/196  Marco Maier Daniel Elsner Chadly Marouane Meike Zehnle and Christoph Fuchs. 2019. DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks.. In AAMAS. 2108\u20132110. https:\/\/doi.org\/10.24963\/ijcai.2019\/196","DOI":"10.24963\/ijcai.2019\/196"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/2835476.2835478"},{"key":"e_1_3_2_1_16_1","volume-title":"PAGAN: Video Affect Annotation Made Easy. In Int\u2019l Conf. on Affective Computing and Intelligent Interaction. 130\u2013136","author":"Melhart David","year":"2019","unstructured":"David Melhart , Antonios Liapis , and Georgios\u00a0 N Yannakakis . 2019 . PAGAN: Video Affect Annotation Made Easy. In Int\u2019l Conf. on Affective Computing and Intelligent Interaction. 130\u2013136 . https:\/\/doi.org\/10.1109\/ACII.2019.8925434 David Melhart, Antonios Liapis, and Georgios\u00a0N Yannakakis. 2019. PAGAN: Video Affect Annotation Made Easy. In Int\u2019l Conf. on Affective Computing and Intelligent Interaction. 130\u2013136. https:\/\/doi.org\/10.1109\/ACII.2019.8925434"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12668-013-0089-2"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.09.061"},{"key":"e_1_3_2_1_19_1","volume-title":"Int\u2019l Conf. on Applied Human Factors and Ergonomics. 15\u201322","author":"Ragot Martin","year":"2017","unstructured":"Martin Ragot , Nicolas Martin , Sonia Em , Nico Pallamin , and Jean-Marc Diverrez . 2017 . Emotion recognition using physiological signals: laboratory vs. wearable sensors . In Int\u2019l Conf. on Applied Human Factors and Ergonomics. 15\u201322 . https:\/\/doi.org\/10.1007\/978-3-319-60639-2_2 Martin Ragot, Nicolas Martin, Sonia Em, Nico Pallamin, and Jean-Marc Diverrez. 2017. Emotion recognition using physiological signals: laboratory vs. wearable sensors. In Int\u2019l Conf. on Applied Human Factors and Ergonomics. 15\u201322. https:\/\/doi.org\/10.1007\/978-3-319-60639-2_2"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2772882"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2814347.2814352"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2632048.2632054"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376808"}],"event":{"name":"IMX '21: ACM International Conference on Interactive Media Experiences","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGMM ACM Special Interest Group on Multimedia","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Virtual Event USA","acronym":"IMX '21"},"container-title":["ACM International Conference on Interactive Media Experiences"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3452918.3465505","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3452918.3465505","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:06Z","timestamp":1750193226000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3452918.3465505"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,21]]},"references-count":23,"alternative-id":["10.1145\/3452918.3465505","10.1145\/3452918"],"URL":"https:\/\/doi.org\/10.1145\/3452918.3465505","relation":{},"subject":[],"published":{"date-parts":[[2021,6,21]]},"assertion":[{"value":"2021-06-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}