{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T13:04:16Z","timestamp":1765976656006,"version":"3.40.4"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2023,2,14]],"date-time":"2023-02-14T00:00:00Z","timestamp":1676332800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,2,14]],"date-time":"2023-02-14T00:00:00Z","timestamp":1676332800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Educ Inf Technol"],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1007\/s10639-023-11619-6","type":"journal-article","created":{"date-parts":[[2023,2,14]],"date-time":"2023-02-14T09:49:30Z","timestamp":1676368170000},"page":"11193-11219","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Examining the relationship of personality traits with online teaching using emotive responses and physiological signals"],"prefix":"10.1007","volume":"28","author":[{"given":"Jaiteg","family":"Singh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Resham","family":"Arya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,14]]},"reference":[{"doi-asserted-by":"publisher","unstructured":"Abadi, M. K., Correa, J. A. M., Wache, J., Yang, H., Patras, I., & Sebe, N. (2015). Inference of personality traits and affect schedule by analysis of spontaneous reactions to affective videos. 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), (pp. 1\u20138). https:\/\/doi.org\/10.1109\/FG.2015.7163100","key":"11619_CR1","DOI":"10.1109\/FG.2015.7163100"},{"key":"11619_CR2","doi-asserted-by":"publisher","first-page":"171907","DOI":"10.1109\/ACCESS.2019.2956349","volume":"7","author":"MA Almaiah","year":"2019","unstructured":"Almaiah, M. A., & Alyoussef, I. Y. (2019). Analysis of the effect of course design, course content support, course assessment and instructor characteristics on the actual use of E-learning system. Ieee Access, 7, 171907\u2013171922.","journal-title":"Ieee Access."},{"issue":"4","key":"11619_CR3","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1016\/j.system.2012.10.013","volume":"40","author":"K Arispe","year":"2012","unstructured":"Arispe, K., & Blake, R. J. (2012). Individual factors and successful learning in a hybrid course. System, 40(4), 449\u2013465. https:\/\/doi.org\/10.1016\/j.system.2012.10.013","journal-title":"System"},{"doi-asserted-by":"publisher","unstructured":"Arya, R., Kumar, A., & Bhushan, M. (2021). Affect Recognition using Brain Signals: A Survey. In: V. Singh, V. K. Asari, S. Kumar, & R. B., Patel (Eds.), Computational Methods and Data Engineering. Advances in Intelligent Systems and Computing (vol 125)7. Springer, Singapore. https:\/\/doi.org\/10.1007\/978-981-15-7907-3_40","key":"11619_CR4","DOI":"10.1007\/978-981-15-7907-3_40"},{"issue":"2","key":"11619_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJFSA.296596","volume":"11","author":"R Arya","year":"2022","unstructured":"Arya, R., Kumar, A., Bhushan, M., & Samant, P. (2022). Big five personality traits prediction using brain signals. International Journal of Fuzzy System Applications (IJFSA), 11(2), 1\u201310. https:\/\/doi.org\/10.4018\/IJFSA.296596","journal-title":"International Journal of Fuzzy System Applications (IJFSA)"},{"doi-asserted-by":"publisher","unstructured":"B\u0103lan, O., Moise, G., Petrescu, L., Moldoveanu, A., Leordeanu, M., & Moldoveanu, F. (2020). Emotion classification based on biophysical signals and machine learning techniques. Symmetry, 12(1). https:\/\/doi.org\/10.3390\/sym12010021","key":"11619_CR6","DOI":"10.3390\/sym12010021"},{"issue":"3","key":"11619_CR7","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1109\/TAFFC.2018.2828845","volume":"9","author":"A Basu","year":"2018","unstructured":"Basu, A., Dasgupta, A., Thyagharajan, A., Routray, A., Guha, R., & Mitra, P. (2018). A portable personality recognizer based on affective state classification using spectral fusion of features. IEEE Transactions on Affective Computing, 9(3), 330\u2013342.","journal-title":"IEEE Transactions on Affective Computing"},{"key":"11619_CR8","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1136\/hrt.55.3.253","volume":"55","author":"RS Bexton","year":"1986","unstructured":"Bexton, R. S., Vallin, H. O., & Camm, A. J. (1986). Diurnal variation of the QT interval\u2014Influence of the autonomic nervous system. British Heart Journal, 55, 253\u2013258. https:\/\/doi.org\/10.1136\/hrt.55.3.253","journal-title":"British. Heart Journal."},{"doi-asserted-by":"publisher","unstructured":"Bhagat, K. K., Wu, L. Y., & Chang, C. (2019). The impact of personality on students' perceptions towards online learning.\u00a0Australasian Journal of Educational Technology, 35(4), 98\u2013108. https:\/\/doi.org\/10.14742\/ajet.4162","key":"11619_CR9","DOI":"10.14742\/ajet.4162"},{"doi-asserted-by":"publisher","unstructured":"Borg, M. E., Butterfield, K. M., Wood, E., Zhang, H. H., & Pinto, S. (2021).\u00a0Investigating the impacts of personality on the use and perceptions of online collaborative platforms in higher education. SN Social Sciences, 1(40). https:\/\/doi.org\/10.1007\/s43545-020-00053-x","key":"11619_CR10","DOI":"10.1007\/s43545-020-00053-x"},{"issue":"1","key":"11619_CR11","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/0005-7916(94)90063-9","volume":"25","author":"MM Bradley","year":"1994","unstructured":"Bradley, M. M., & Lang, J. (1994). Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25(1), 49\u201359. https:\/\/doi.org\/10.1016\/0005-7916(94)90063-9","journal-title":"Journal of Behavior Therapy and Experimental Psychiatry"},{"issue":"12","key":"11619_CR12","doi-asserted-by":"publisher","first-page":"6532","DOI":"10.1109\/JSEN.2020.2976159","volume":"20","author":"AR Butt","year":"2020","unstructured":"Butt, A. R., Arsalan, A., & Majid, M. (2020). Multimodal personality trait recognition using wearable sensors in response to public speaking. IEEE Sensors Journal, 20(12), 6532\u20136541. https:\/\/doi.org\/10.1109\/JSEN.2020.2976159","journal-title":"IEEE Sensors Journal"},{"issue":"2","key":"11619_CR13","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1037\/1040-3590.18.2.192","volume":"18","author":"MB Donnellan","year":"2006","unstructured":"Donnellan, M. B., Oswald, F. L., Baird, B. M., & Lucas, R. E. (2006). The mini-IPIP scales: Tiny-yet effective measures of the Big Five factors of personality. Psychological Assessment, 18(2), 192\u2013203. https:\/\/doi.org\/10.1037\/1040-3590.18.2.192","journal-title":"Psychological Assessment"},{"issue":"3","key":"11619_CR14","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/s11528-014-0753-6","volume":"58","author":"HK Evans","year":"2014","unstructured":"Evans, H. K. (2014). An experimental investigation of videotaped lectures in online courses. TechTrends, 58(3), 63\u201370.","journal-title":"TechTrends"},{"issue":"1","key":"11619_CR15","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1080\/23265507.2017.1339572","volume":"4","author":"L G\u00f6ncz","year":"2017","unstructured":"G\u00f6ncz, L. (2017). Teacher personality: A review of psychological research and guidelines for a more comprehensive theory in educational psychology. Open Review of Educational Research, 4(1), 75\u201395. https:\/\/doi.org\/10.1080\/23265507.2017.1339572","journal-title":"Open Review of Educational Research."},{"key":"11619_CR16","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.lindif.2018.02.008","volume":"69","author":"R Grieve","year":"2019","unstructured":"Grieve, R., Moffitt, R. L., & Padgett, C. R. (2019). Student perceptions of marker personality and intelligence: The effect of emoticons in online assignment feedback. Learning and Individual Differences, 69, 232\u2013238. https:\/\/doi.org\/10.1016\/j.lindif.2018.02.008","journal-title":"Learning and Individual Differences"},{"doi-asserted-by":"publisher","unstructured":"Hasnul, M. A., Aziz, N. A. A., Alelyani, S., Mohana, M., & Aziz, A. A. (2021). Electrocardiogram-based emotion recognition systems and their applications in healthcare-a review. Sensors (Basel), 21(15). https:\/\/doi.org\/10.3390\/s21155015","key":"11619_CR17","DOI":"10.3390\/s21155015"},{"doi-asserted-by":"crossref","unstructured":"Ismail, S., Basharirad, B., & Ismail, S. (2017). Significant of MBTI personality model on decision making in university program selection. 2nd International Conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE).","key":"11619_CR18","DOI":"10.1109\/ICITISEE.2017.8285560"},{"issue":"6","key":"11619_CR19","doi-asserted-by":"publisher","first-page":"1220","DOI":"10.4103\/ijo.IJO_1241_20","volume":"68","author":"S Kaup","year":"2020","unstructured":"Kaup, S., Jain, R., Shivalli, S., Pandey, S., & Kaup, S. (2020). Sustaining academics during covid-19 pandemic: The role of online teaching-learning. Indian Journal of Ophthalmology, 68(6), 1220\u20131221. https:\/\/doi.org\/10.4103\/ijo.IJO_1241_20","journal-title":"Indian Journal of Ophthalmology"},{"key":"11619_CR20","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.compedu.2018.09.010","volume":"128","author":"CK Maican","year":"2019","unstructured":"Maican, C. K., Cazan, A. M., Lixandroiu, R. C., & Dovleac, L. (2019). A study on academic staff personality and technology acceptance: The case of communication and collaboration applications. Computers & Education, 128, 113\u2013131. https:\/\/doi.org\/10.1016\/j.compedu.2018.09.010","journal-title":"Computers & Education"},{"issue":"3","key":"11619_CR21","doi-asserted-by":"publisher","first-page":"97","DOI":"10.24059\/olj.v23i3.1555","volume":"23","author":"F Martin","year":"2019","unstructured":"Martin, F., Budhrani, K., & Wang, C. (2019). Examining faculty perception of their readiness to teach online. Online Learning Journal, 23(3), 97\u2013119. https:\/\/doi.org\/10.24059\/olj.v23i3.1555","journal-title":"Online Learning Journal"},{"key":"11619_CR22","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.iheduc.2018.01.003","volume":"37","author":"F Martin","year":"2018","unstructured":"Martin, F., Wang, C., & Sadaf, A. (2018). Student perception of helpfulness of facilitation strategies that enhance instructor presence, connectedness, engagement, and learning in online courses. The Internet and Higher Education, 37, 52\u201365. https:\/\/doi.org\/10.1016\/j.iheduc.2018.01.003","journal-title":"The Internet and Higher Education."},{"issue":"3","key":"11619_CR23","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1016\/S0191-8869(03)00118-1","volume":"36","author":"RR McCrae","year":"2004","unstructured":"McCrae, R. R., & Costa, P. T. (2004). A contemplated revision of the NEO Five-Factor Inventory. Personality and Individual Differences, 36(3), 587\u2013596.","journal-title":"Personality and Individual Differences"},{"doi-asserted-by":"publisher","unstructured":"Miranda-Correa, J. A., & Patras, I. (2018). A Multi-Task Cascaded Network for Prediction of Affect, Personality, Mood and Social Context Using EEG Signals. 13th IEEE International Conference on Automatic Face & Gesture Recognition. (pp. 373\u2013380). https:\/\/doi.org\/10.1109\/FG.2018.00060","key":"11619_CR24","DOI":"10.1109\/FG.2018.00060"},{"issue":"2","key":"11619_CR25","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1109\/TAFFC.2018.2884461","volume":"12","author":"JA Miranda-Correa","year":"2021","unstructured":"Miranda-Correa, J. A., Abadi, M. K., Sebe, N., & Patras, I. (2021). AMIGOS: A dataset for affect, personality and mood research on individuals and groups. IEEE Transactions on Affective Computing, 12(2), 479\u2013493. https:\/\/doi.org\/10.1109\/TAFFC.2018.2884461","journal-title":"IEEE Transactions on Affective Computing"},{"doi-asserted-by":"publisher","unstructured":"Mishra, L., Gupta, T., & Shree, A., (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open. 1. https:\/\/doi.org\/10.1016\/j.ijedro.2020.100012","key":"11619_CR26","DOI":"10.1016\/j.ijedro.2020.100012"},{"issue":"4","key":"11619_CR27","doi-asserted-by":"publisher","first-page":"S27","DOI":"10.12669\/pjms.36.COVID19-S4.2785","volume":"36","author":"K Mukhtar","year":"2020","unstructured":"Mukhtar, K., Javed, K., Arooj, M., & Sethi, A. (2020). Advantages, limitations and recommendations for online learning during COVID-19 pandemic era. Pakistan Journal of Medical Sciences, 36(4), S27\u2013S31. https:\/\/doi.org\/10.12669\/pjms.36.COVID19-S4.2785","journal-title":"Pakistan Journal of Medical Sciences"},{"doi-asserted-by":"publisher","unstructured":"Murata, A., Saito, H., Schug, J., Ogawa, K., & Kameda, T. (2016) Spontaneous facial mimicry is enhanced by the goal of inferring emotional states: Evidence for moderation of \u201cAutomatic\u201d mimicry by higher cognitive processes. PLoS ONE, 11(4). https:\/\/doi.org\/10.1371\/journal.pone.0153128","key":"11619_CR28","DOI":"10.1371\/journal.pone.0153128"},{"doi-asserted-by":"publisher","unstructured":"Muthuprasad, T., Aiswarya, S., Aditya, K. S., & Jha, Girish K. (2021). Students\u2019 perception and preference for online education in India during COVID -19 pandemic. Social Sciences & Humanities Open, 3(1). https:\/\/doi.org\/10.1016\/j.ssaho.2020.100101","key":"11619_CR29","DOI":"10.1016\/j.ssaho.2020.100101"},{"key":"11619_CR30","doi-asserted-by":"publisher","first-page":"92","DOI":"10.31703\/grr.2019(IV-III).11","volume":"IV","author":"S Noreen","year":"2019","unstructured":"Noreen, S., Ali, A., & Munawar, U. (2019). The impact of teachers\u2019 personality on students\u2019 academic achievement in Pakistan. Global Regional Review, IV, 92\u2013102.","journal-title":"Global Regional Review"},{"issue":"3","key":"11619_CR31","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/j.aucc.2012.02.003","volume":"25","author":"RK Prematunga","year":"2012","unstructured":"Prematunga, R. K. (2012). Correlational analysis. Australian Critical Care, 25(3), 195\u2013199. https:\/\/doi.org\/10.1016\/j.aucc.2012.02.003","journal-title":"Australian Critical Care."},{"doi-asserted-by":"publisher","unstructured":"Pushpa Latha, G. C., Hema, C. R., & Paulraji, M. P. (2013). Neural network based classification of human emotions using Electromyogram signals. International Conference on Advanced Computing and Communication Systems. (pp. 1\u20134). https:\/\/doi.org\/10.1109\/ICACCS.2013.6938762","key":"11619_CR32","DOI":"10.1109\/ICACCS.2013.6938762"},{"key":"11619_CR33","doi-asserted-by":"publisher","first-page":"4353","DOI":"10.1007\/s10639-021-10478-3","volume":"26","author":"DJ Rivers","year":"2021","unstructured":"Rivers, D. J. (2021). The role of personality traits and online academic self-efficacy in acceptance, actual use and achievement in Moodle. Education and Information Technologies, 26, 4353\u20134378. https:\/\/doi.org\/10.1007\/s10639-021-10478-3","journal-title":"Education and Information Technologies"},{"doi-asserted-by":"publisher","unstructured":"Scherer, R., Howard, S. K., Tondeur, J., & Siddiq, F., (2021). Profiling teachers' readiness for online teaching and learning in higher education: Who's ready? Computers in Human Behavior, 118. https:\/\/doi.org\/10.1016\/j.chb.2020.106675","key":"11619_CR34","DOI":"10.1016\/j.chb.2020.106675"},{"doi-asserted-by":"publisher","unstructured":"Seo, J., Laine, T. H., & Sohn, K.-A. (2019). An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data. Sensors, 19. https:\/\/doi.org\/10.3390\/s19204561","key":"11619_CR35","DOI":"10.3390\/s19204561"},{"doi-asserted-by":"publisher","unstructured":"Setiana, D., Kusumaningrum, B., & Purwoko, R. (2021). The students' interest in online learning in higher education during the Covid-19 pandemic. Edumatika Jurnal Riset Pendidikan Matematika, 4. https:\/\/doi.org\/10.32939\/ejrpm.v4i2.932","key":"11619_CR36","DOI":"10.32939\/ejrpm.v4i2.932"},{"doi-asserted-by":"publisher","unstructured":"Starr-Glass, D. (2013). From connectivity to connected learners: Transactional distance and social presence. Increasing student engagement and retention in e-learning environments: Web 2.0 and blended learning technologies. Bingley: Emerald Publishing. https:\/\/doi.org\/10.1108\/S2044-9968(2013)000006G007","key":"11619_CR37","DOI":"10.1108\/S2044-9968(2013)000006G007"},{"issue":"2","key":"11619_CR38","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1109\/TAFFC.2016.2625250","volume":"9","author":"R Subramanian","year":"2018","unstructured":"Subramanian, R., Wache, J., Abadi, M. K., Vieriu, R. L., Winkler, S., & Sebe, N. (2018). ASCERTAIN: Emotion and personality recognition using commercial sensors. IEEE Transactions on Affective Computing, 9(2), 147\u2013160. https:\/\/doi.org\/10.1109\/TAFFC.2016.2625250","journal-title":"IEEE Transactions on Affective Computing"},{"issue":"4","key":"11619_CR39","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1080\/0144929X.2011.553740","volume":"32","author":"GB Svendsen","year":"2011","unstructured":"Svendsen, G. B., Johnsen, J.-A.K., Almas-Sorensen, L., & Vitterso, J. (2011). Personality and technology acceptance: The influence of personality factors on the core constructs of the Technology Acceptance Model. Behaviour & Information Technology, 32(4), 323\u2013334. https:\/\/doi.org\/10.1080\/0144929X.2011.553740","journal-title":"Behaviour & Information Technology"},{"issue":"1","key":"11619_CR40","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1504\/IJSMILE.2013.051650","volume":"1","author":"RJ Voorn","year":"2013","unstructured":"Voorn, R. J., & Kommers, P. A. (2013). Social media and higher education: Introversion and collaborative learning from the student\u2019s perspective. International Journal of Social Media and Interactive Learning Environments, 1(1), 59\u201373. https:\/\/doi.org\/10.1504\/IJSMILE.2013.051650","journal-title":"International Journal of Social Media and Interactive Learning Environments"},{"doi-asserted-by":"publisher","unstructured":"Wache, J. (2014). The Secret Language of Our Body: Affect and Personality Recognition Using Physiological Signals. In Proceedings of the 16th International Conference on Multimodal Interaction (ICMI '14). Association for Computing Machinery. (pp. 389\u2013393). New York. https:\/\/doi.org\/10.1145\/2663204.2666290","key":"11619_CR41","DOI":"10.1145\/2663204.2666290"},{"issue":"1\/2","key":"11619_CR42","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1108\/IJILT-03-2019-0040","volume":"37","author":"B Watjatrakul","year":"2020","unstructured":"Watjatrakul, B. (2020). Intention to adopt online learning The effects of perceived value and moderating roles of personality traits. International Journal of Information and Learning Technology, 37(1\/2), 46\u201365. https:\/\/doi.org\/10.1108\/IJILT-03-2019-0040","journal-title":"International Journal of Information and Learning Technology."},{"doi-asserted-by":"publisher","unstructured":"Yu, D., & Shouqian, S. (2020). A systematic exploration of deep neural networks for EDA-based emotion recognition. Information, 11(4). https:\/\/doi.org\/10.3390\/info11040212","key":"11619_CR43","DOI":"10.3390\/info11040212"},{"doi-asserted-by":"publisher","unstructured":"Yu, Z. (2021). The effects of gender, educational level, and personality on online learning outcomes during the COVID-19 pandemic. International Journal of Educational Technology in Higher Education, 18(14). https:\/\/doi.org\/10.1186\/s41239-021-00252-3","key":"11619_CR44","DOI":"10.1186\/s41239-021-00252-3"},{"issue":"3","key":"11619_CR45","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1109\/TAFFC.2017.2786207","volume":"9","author":"G Zhao","year":"2018","unstructured":"Zhao, G., Ge, Y., Shen, B., Wei, X., & Wang, H. (2018). Emotion analysis for personality inference from EEG signals. IEEE Transactions on Affective Computing, 9(3), 362\u2013371. https:\/\/doi.org\/10.1109\/TAFFC.2017.2786207","journal-title":"IEEE Transactions on Affective Computing"}],"container-title":["Education and Information Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10639-023-11619-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10639-023-11619-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10639-023-11619-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T14:55:56Z","timestamp":1744210556000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10639-023-11619-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,14]]},"references-count":45,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2023,9]]}},"alternative-id":["11619"],"URL":"https:\/\/doi.org\/10.1007\/s10639-023-11619-6","relation":{},"ISSN":["1360-2357","1573-7608"],"issn-type":[{"type":"print","value":"1360-2357"},{"type":"electronic","value":"1573-7608"}],"subject":[],"published":{"date-parts":[[2023,2,14]]},"assertion":[{"value":"7 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 January 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 February 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interests\/Competing interests"}}]}}