{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:39:27Z","timestamp":1777901967200,"version":"3.51.4"},"reference-count":22,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2017]]},"DOI":"10.1587\/transinf.2016edp7354","type":"journal-article","created":{"date-parts":[[2017,8,31]],"date-time":"2017-08-31T22:27:09Z","timestamp":1504218429000},"page":"2147-2155","source":"Crossref","is-referenced-by-count":2,"title":["A New Automated Method for Evaluating Mental Workload Using Handwriting Features"],"prefix":"10.1587","volume":"E100.D","author":[{"given":"Zhiming","family":"WU","sequence":"first","affiliation":[{"name":"College of Computer Science, Sichuan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyan","family":"XU","sequence":"additional","affiliation":[{"name":"College of Computer Science, Sichuan University"},{"name":"College of Tianfu, SouthWestern University of Finance and Economics"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"LIN","sequence":"additional","affiliation":[{"name":"College of Computer Science, Sichuan University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] A.F. Kramer, \u201cPhysiological metrics of mental workload: A review of recent progress,\u201d Multiple-task Performance, ed. D.L. Damos, pp.279-328, Taylor and Francis, London, 1991.","DOI":"10.21236\/ADA223701"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] D. Chen and R. Vertegaal, \u201cUsing mental load for managing interruptions in physiologically attentive user interfaces,\u201d Proc. 22th Conf. on Hum. Factors Comput. Syst., Vienna, Austria, pp.1513-1516, April, 2004. 10.1145\/985921.986103","DOI":"10.1145\/985921.986103"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] T. Lin, A. Imamiya, and X. Mao, \u201cUsing multiple data sources to get closer insights into user cost and task performance,\u201d Interact. Comput., vol.20, no.3, pp.364-374, May 2008. 10.1016\/j.intcom.2007.12.002","DOI":"10.1016\/j.intcom.2007.12.002"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] G.M. Wilson and M. Angela Sasse, \u201cFrom doing to being: Getting closer to the user experience,\u201d Interact. Comput., vol.16, no.4, pp.697-705, Aug. 2004. 10.1016\/j.intcom.2004.06.001","DOI":"10.1016\/j.intcom.2004.06.001"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] F. Paas, J.E. Tuovinen, H. Tabbers, and P.W.M. Van Gerven, \u201cCognitive load measurement as a means to advance cognitive load theory,\u201d Educ. Psychol., vol.38, no.1, pp.63-71, March 2003. 10.1207\/s15326985ep3801_8","DOI":"10.1207\/S15326985EP3801_8"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] F. Chen, N. Ruiz, E. Choi, J. Epps, M.A. Khawaja, R. Taib, B. Yin, and Y. Wang, \u201cMultimodal behavior and interaction as indicators of cognitive load,\u201d ACM Trans. Interact. Intell. Syst., vol.2, no.4, pp.1-36, Dec. 2012. 10.1145\/2395123.2395127","DOI":"10.1145\/2395123.2395127"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] G. Luria and S. Rosenblum, \u201cA computerized multidimensional measurement of mental workload via handwriting analysis,\u201d Behav. Res. Methods, vol.44, no.2, pp.575-586, June 2012. 10.3758\/s13428-011-0159-8","DOI":"10.3758\/s13428-011-0159-8"},{"key":"8","unstructured":"[8] K. Yu, J. Epps, and F. Chen, \u201cCognitive load evaluation with pen orientation and pressure,\u201d Proc. 24th ACM Symp. on User Interface Softw. Tech., pp.1-4, Alicante, Spain, Oct. 2011."},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] T. Lin, T. Xie, Y. Chen, and N. Tang, \u201cAutomatic cognitive load evaluation using writing features: An exploratory study,\u201d Int. J. Ind. Ergon., vol.43, no.3, pp.210-217, May 2013. 10.1016\/j.ergon.2013.02.002","DOI":"10.1016\/j.ergon.2013.02.002"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] S.G. Hart and L.E. Staveland, \u201cDevelopment of NASA-TLX (Task Load Index): Results of empirical and theoretical research,\u201d in Human Mental Workload, eds. P.A. Hancock and N. Meshkati, pp.139-183, Elsevier Science, Amsterdam, 1988. 10.1016\/s0166-4115(08)62386-9","DOI":"10.1016\/S0166-4115(08)62386-9"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] W.W. Wierwille and F.T. Eggemeier, \u201cRecommendations for mental workload measurement in a test and evaluation environment,\u201d Hum. Factors: J. Hum. Factors Ergon. Soc., vol.35, no.2, pp.263-281, June 1993.","DOI":"10.1177\/001872089303500205"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] E. Galy, M. Cariou, and C. Melan, \u201cWhat is the relationship between mental workload factors and cognitive load types?,\u201d Int. J. of Psychophysiol., vol.83, no.3, pp.269-275, March 2012. 10.1016\/j.ijpsycho.2011.09.023","DOI":"10.1016\/j.ijpsycho.2011.09.023"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] R.L. Mandryk and M.S. Atkins, \u201cA fuzzy physiological approach for continuously modeling emotion during interaction with play technologies,\u201d Int. J. Hum-Comput. Stud., vol.65, no.4, pp.329-347, April 2007. 10.1016\/j.ijhcs.2006.11.011","DOI":"10.1016\/j.ijhcs.2006.11.011"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] K. Yu, J. Epps, and F. Chen, \u201cCognitive load evaluation of handwriting using stroke-level features,\u201d Proc. 16th Int. Conf. on Intell. User interfaces, Palo Alto, CA, USA, pp.423-426, Feb. 2011. 10.1145\/1943403.1943481","DOI":"10.1145\/1943403.1943481"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] C.-L. Huang and C.-J. Wang, \u201cA GA-based feature selection and parameters optimizationfor support vector machines,\u201d Expert Syst. Appl., vol.31, no.2, pp.231-240, Aug. 2006. 10.1016\/j.eswa.2005.09.024","DOI":"10.1016\/j.eswa.2005.09.024"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] H. Frohlich, O. Chapelle, and B. Scholkopf, \u201cFeature selection for support vector machines by means of genetic algorithm,\u201d Proc. 15th Int. Conf. on Tools Artif. Intell., Sacramento, California, USA, pp.142-148, Nov. 2003. 10.1109\/tai.2003.1250182","DOI":"10.1109\/TAI.2003.1250182"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] M. Zhao, C. Fu, L. Ji, K. Tang, and M. Zhou, \u201cFeature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes,\u201d Expert Syst Appl, vol.38, no.5, pp.5197-5204, May 2011. 10.1016\/j.eswa.2010.10.041","DOI":"10.1016\/j.eswa.2010.10.041"},{"key":"18","unstructured":"[18] J. Han, M. Kamber, and J. Pei, Data mining: Concepts and techniques, Morgan Kaufmann Publishers, San Francisco, 2011."},{"key":"19","unstructured":"[19] S. Ransdell and C.M. Levy, \u201cWriting, reading, and speaking memory spans and the importance of resource flexibility,\u201d The Cognitive Demands of Writing: Processing Capacity and Working Memory in Text Production, ed. M. Torrance and G. Jeffrey, pp.99-113, Amsterdam University Press, 1999."},{"key":"20","unstructured":"[20] C.W. Hsu, C.C. Chang, and C.J. Lin, \u201cA practical guide to support vector classification,\u201d Tech. Rep., Department of Computer Science, National Taiwan University, vol.67, no.5, 2003."},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] B.C.M. Smits-Engelsman and G.P. Van Galen, \u201cDysgraphia in children: Lasting psychomotor deficiency or transient developmental delay?,\u201d J. Exp. Child Psychol., vol.67, no.2, pp.164-184, Nov. 1997. 10.1006\/jecp.1997.2400","DOI":"10.1006\/jecp.1997.2400"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] J. Wann, \u201cHandwriting disturbances: Developmental trends,\u201d in Themes in motor development, eds. H.T.A. Whiting and M. Wade, pp.207-223, Springer, Berlin, 1986. 10.1007\/978-94-009-4462-6_11","DOI":"10.1007\/978-94-009-4462-6_11"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E100.D\/9\/E100.D_2016EDP7354\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T12:24:07Z","timestamp":1750854247000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E100.D\/9\/E100.D_2016EDP7354\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":22,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2017]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2016edp7354","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}