运笔学研究前景初探
The Graphonomics Research Prospects
DOI: 10.12677/AP.2017.74066, PDF, HTML, XML, 下载: 1,560  浏览: 1,977 
作者: 王若萌, 王权红:西南大学心理学部,重庆
关键词: 运笔学笔迹学电子书写板人机交互Graphonomics Graphology Digital Table Human-Computer Interaction
摘要: 通过对前人运笔学研究的收集梳理,对运笔学的形成与发展,基本研究工具,实验范式,数据分析方法,目前的一些应用领域等进行了初步的总结,在此基础之上回答了一些对运笔学存疑者的一些问题,肯定了运笔学研究及应用的可行性,并对其在心理测量、刑侦、人工智能、医学、教育学等领域的扩展应用前景进行了展望。
Abstract: Based on the previous research about graphonomics, the formation and development, basic re-search tools, experimental paradigms, data analysis methods, and some of the current applica-tions of graphonomics were summarized. Above all, we answered some doubts from researchers about graphonomics, and affirmed the feasibility of it. We also prospected the extending application of graphonomics on other domains such as psychological measurement, forensic, artificial intelligence, medicine, education and so on.
文章引用:王若萌, 王权红 (2017). 运笔学研究前景初探. 心理学进展, 7(4), 537-545. https://doi.org/10.12677/AP.2017.74066

参考文献

[1] 金一贵(2001). 书写心理与优良个性培养. 厦门教育学院学报, 3(3), 30-35.
[2] 酒野直樹(2014). A Characteristic and the Assessment of the Writing Impairments in Subjects with Alzheimer’s Disease.
[3] 沈臻懿(2012). 左手伪装笔迹鉴定实证研究——以汉字硬笔书写为基准. 硕士学位论文, 上海: 华东政法大学.
[4] 童辉杰(2003). 笔迹, 人格及能力测验在人员选拔中效度的比较. 心理科学, 26(2), 362-363.
[5] 童章毅(2003). 条件变化笔迹的研究. 中国司法鉴定, (3), 26-29.
[6] 涂丽云(2006). 女性笔迹分析与鉴定. 中国人民公安大学学报: 自然科学版, 12(2), 25-27.
[7] 郑日昌(2000). 笔迹心理学. 沈阳市: 辽海出版社.
[8] Alamargot, D., Chesnet, D., Dansac, C., & Ros, C. (2006). Eye and Pen: A New Device for Studying Reading during Writing. Behavior Research Methods, 38, 287-299.
[9] Bailey, C. A. (1988). Handwriting: Ergonomics, Assessment and Instruction. British Journal of Special Education, 15, 65- 71.
[10] Bo, J., Colbert, A., Lee, C. M., Schaffert, J., Oswald, K., & Neill, R. (2014). Examining the Relationship between Motor Assessments and Handwriting Consistency in Children with and without Probable Developmental Coordination Disorder. Research in Developmental Disabilities, 35, 2035-2043.
[11] Chau, T., Ji, J., Tam, C., & Schwellnus, H. (2006). A Novel Instrument for Quantifying Grip Activity during Handwriting. Archives of Physical Medicine and Rehabilitation, 87, 1542-1547.
[12] Danna, J., Paz-Villagrán, V., & Velay, J. L. (2013). Signal-to-Noise Velocity Peaks Difference: A New Method for Evaluating the Handwriting Movement Fluency in Children with Dysgraphia. Research in Developmental Disabilities, 34, 4375- 4384.
[13] Dixon, R. A., Kurzman, D., & Friesen, I. C. (1993). Handwriting Performance in Younger and Older Adults: Age, Familiarity, and Practice Effects. Psychology and Aging, 8, 360.
[14] Falk, T. H., Tam, C., Schellnus, H., & Chau, T. (2011). On the Development of a Computer-Based Handwriting Assessment Tool to Objectively Quantify Handwriting Proficiency in Children. Computer Methods and Programs in Biomedicine, 104, e102-e111.
[15] Gao, Y., Bianchi-Berthouze, N., & Meng, H. (2012). What Does Touch Tell Us about Emotions in Touch Screen-Based Game Play? ACM Transactions on Computer-Human Interaction, 19, 31.
[16] Guinet, E., & Kandel, S. (2010). Ductus: A Software Package for the Study of Handwriting Production. Behavior Research Methods, 42, 326-332.
[17] Hamstra-Bletz, L., & Blöte, A. (1993). A Longitudinal Study on Dysgraphic Handwriting in Primary School. Journal of Learning Disabilities, 26, 689-699.
[18] Hernandez, J., Paredes, P., Roseway, A., & Czerwinski, M. (2014). Under Pressure: Sensing Stress of Computer Users. In Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems (pp. 51-60). New York, NY: ACM.
[19] Jin, W., Wang, Y., & Tan, T. (2005). Text-Independent Writer Identification Based on Fusion of Dynamic and Static Features. In Advances in Biometric Person Authentication (pp. 197-204). Berlin Heidelberg: Springer.
[20] Kandel, S., Álvarez, C. J., & Vallée, N. (2006). Syllables as Processing Units in Handwriting Production. Journal of Experimental Psychology: Human Perception and Performance. 32, 18-31.
[21] Kandel, S., Peereman, R., Grosjacques, G., & Fayol, M. (2011). For a Psycholinguistic Model of Handwriting Production: Testing the Syllable-Bigram Controversy. Journal of Experimental Psychology: Human Perception and Performance, 37, 1310-1322.
[22] Kosterman, B. J. M., Westzaan, P. S. H., & Van Wieringern, P. C. W. (1994). Developmental Trends of Fine Motor Performance in Primary School Children: A Kinematic Analysis. In C. Faure, P. Keuss, G. Lorette, & A. Vinter (Eds.), Advances in Handwriting and Drawing: A Multidisciplinary Approach (pp. 247-258). Paris: Europia.
[23] Lane, A. E., & Ziviani, J. M. (2010). Factors Influencing Skilled Use of the Computer Mouse by School-Aged Children. Computers & Education, 55, 1112-1122.
[24] Luria, G., & Rosenblum, S. (2010). Comparing the Handwriting Behaviors of True and False Writing with Computerized Handwriting Measures. Applied Cognitive Psychology, 24, 1115-1128.
[25] Mai, N., & Marquardt, C. (1992). CS-Computer-Assisted Movement Analysis in Handwriting. Operational Manual. Munich: MedCom Verlag.
[26] Margolin, D. I., & Wing, A. M. (1983). Agraphia and Micrographia: Clinical Manifestations of Motor Programming and Performance Disorders. Acta Psychological, 54, 263-283.
[27] Mavrogiorgou, P., Mergl, R., Tigges, P., El Husseini, J., Schröter, A., Juckel, G., Hegerl, U. et al. (2001). Kinematic Analysis of Handwriting Movements in Patients with Obsessive-Compulsive Disorder. Journal of Neurology, Neurosurgery, and Psychiatry, 70, 605-612.
[28] Mergl, R., Tigges, P., Schröter, A., Möller, H. J., &Hegerl, U. (1999). Digitized Analysis of Handwriting and Drawing Movements in Healthy Subjects: Methods, Results and Perspectives. Journal of Neuroscience Methods, 90, 157-169.
[29] Olive, T. (2004). Working Memory in Writing: Empirical Evidence from the Dual-Task Technique. European Psychologist, 9, 32-42.
[30] Olive, T. (2010). Methods, Techniques, and Tools for the On-Line Study of the Writing Process. Writing: Processes, Tools and Techniques, 1-18.
[31] Olive, T., & Kellogg, R. T. (2002). Concurrent Activation of High- and Low-Level Production Processes in Written Composition. Memory & Cognition, 30, 594-600.
[32] Paz-Villagrán, V., Danna, J., & Velay, J. L. (2014). Lifts and Stops in Proficient and Dysgraphic Handwriting. Human Movement Science, 33, 381-394.
[33] Phillips, J. G., Stelmach, G., & Teasdale, N. (1989). Preliminary Assessment of Spatiotemporal Control of Handwriting in Parkinsonians. In: R. Plamondon, C. Y. Suen, M. L. Simner, Eds., Computer Recognition and Human Production of Handwriting (pp. 317-331). Singapore: World Scientific.
[34] Phillips, L. H. (1999). Age and Individual Differences in Letter Fluency. Developmental Neuropsychology, 15, 249- 267.
[35] Rosenblum, S. (2009). Diagnosis Method and System Based on Handwriting Analysis. U.S. Patent Application 13/127, 649.
[36] Rosenblum, S., Parush, S. & Weiss, P., (2003a). Computerized Temporal Handwriting Characteristics of Proficient and Poor Handwriters. American Journal of Occupational Therapy, 57, 129-138.
[37] Rosenblum, S., Weiss, P. L., & Parush, S. (2003b). Product and Process Evaluation of Handwriting Difficulties. Educational Psychology Review, 15, 41-81.
[38] Rosenblum, S., Weiss, P., & Parush, S. (2001). Temporal Measures of Poor and Proficient Handwriters. In R. G. J. Meulenbroek, & B. Steenbergen (Eds.), Proceedings of the 10th Biennal Conference of the International Graphonomics Society (pp. 119-125). Nijmegen: IGS Pub.
[39] Rosenblum, S., Werner, P., Dekel, T., Gurevitz, I., & Heinik, J. (2010). Handwriting Process Variables among Elderly People with Mild Major Depressive Disorder: A Preliminary Study. Aging Clinical and Experimental Research, 22, 141-147.
[40] Schröter, A., Mergl, R., Bürger, K., Hampel, H., Möller, H. J., & Hegerl, U. (2003). Kinematic Analysis of Handwriting Movements in Patients with Alzheimer’s Disease, Mild Cognitive Impairment, Depression and Healthy Subjects. Dementia and Geriatric Cognitive Disorders, 15, 132-142.
[41] Slepian, M. L., &Ambady, N. (2012). Fluid Movement and Creativity. Journal of Experimental Psychology: General, 141, 625.
[42] Sumner, E., Connelly, V., & Barnett, A. L. (2013). Children with Dyslexia Are Slow Writers Because They Pause More Often and Not Because They Are Slow at Handwriting Execution. Reading and Writing, 26, 991-1008.
[43] Tani, T., & Yamada, S. (2012). Applying Key Typing Pressure to Estimate a User’s State of Activity. In RO-MAN, 2012 IEEE (pp. 185-190).
[44] Tseng, M. H., & Cermak, S. A. (1993). The Influence of Ergonomic Factors and Perceptual-Motor Abilities on Handwriting Performance. American Journal of Occupational Therapy, 47, 919-926.
[45] Tucha, O., Trumpp, C., & Lange, K. W. (2004). Limitations of the Dual-Process-Theory Regarding the Writing of Words and Non-Words to Dictation. Brain and Language, 91, 267-273.
[46] Tucha, O., Walitza, S., Mecklinger, L., Stasik, D., Sontag, T. A., & Lange, K. W. (2006). The Effect of Caffeine on Handwriting Movements in Skilled Writers. Human Movement Science, 25, 523-535.
[47] Van Galen, G. P., Portier, S. J., Smits-Engelsman, B. C. M., & Shomaker, L. R. B. (1993). Neuromotor Noise and Poor Handwriting in Children. Acta Psychologica, 82, 161-178.
[48] Vrij, A., Fisher, R. P., Mann, S., & Leal, S. (2008). A Cognitive Load Approach to Lie Detection. Journal of Investigative Psychology and Offender Profiling, 5, 39-43.
[49] Vrij, A., Fisher, R., Mann, S., & Leal, S. (2006). Detecting Deception by Manipulating Cognitive Load. Trends in Cognitive Sciences, 10, 141-142.
[50] Werner, P., Rosenblum, S., Bar-On, G., Heinik, J., & Korczyn, A. (2006). Handwriting Process Variables Discriminating Mild Alzheimer’s Disease and Mild Cognitive Impairment. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 61, P228-P236.
[51] Yu, K., Epps, J., & Chen, F. (2011). Cognitive Load Evaluation of Handwriting Using Stroke-Level Features. In Proceedings of the 16th international conference on Intelligent user interfaces (pp. 423-426). New York, NY: ACM.
[52] Smits-Engelsman, B. C., Niemeijer, A. S., & van Galen, G. P. (2001). Fine Motor Deficiencies in Children Diagnosed as DCD Based on Poor Grapho-Motor Ability. Human Movement science, 20, 161-182.
[53] Klöppel, S., van Eimeren, T., Glauche, V., Vongerichten, A., Münchau, A., Frackowiak, R. S., & Siebner, H. R. (2007). The Effect of Handedness on Cortical Motor Activation during Simple Bilateral Movements. Neuroimage, 34, 274-280.
[54] Poon, K. W., Li-Tsang, C. W. P., Weiss, T. P. L., & Rosenblum, S. (2010). The Effect of a Computerized Visual Perception and Visual-Motor Integration Training Program on Improving Chinese Handwriting of Children with Handwriting Difficulties. Research in Developmental Disabilities, 31, 1552-1560.
[55] Paz-Villagrán, V., Danna, J., & Velay, J. L. (2014). Lifts and Stops in Proficient and Dysgraphic Handwriting. Human Movement Science, 33, 381-394.
[56] Rosenblum, S., Werner, P., Dekel, T., Gurevitz, I., & Heinik, J. (2010). Handwriting Process Variables among Elderly People with Mild Major Depressive Disorder: A Preliminary Study. Aging Clinical and Experimental Research, 22, 141- 147.
[57] Tucha, O., Putzhammer, A., Aschenbrenner, S., Eichhammer, P., Sartor, H., Klein, H. E., & Lange, K. W. (2003). The Impact of Tricyclic Antidepressants and Selective Serotonin Re-Uptake Inhibitors on Handwriting Movements of Patients with Depression. Pharmacopsychiatry, 36, 293.
[58] Van Gemmert, A. W., & Teulings, H. L. (2006). Advances in Graphonomics: Studies on Fine Motor Control, Its Development and Disorders. Human Movement Science, 25, 447-453.