- 无标题文档
查看论文信息

论文中文题名:

 社会助长效应对人机交互作业认知负荷的影响研究    

姓名:

 李玲    

学号:

 19202098058    

保密级别:

 保密(1年后开放)    

论文语种:

 chi    

学科代码:

 1202    

学科名称:

 管理学 - 工商管理    

学生类型:

 硕士    

学位级别:

 管理学硕士    

学位年度:

 2022    

培养单位:

 西安科技大学    

院系:

 管理学院    

专业:

 工商管理    

研究方向:

 组织行为与人力资源管理    

第一导师姓名:

 袁晓芳    

第一导师单位:

 西安科技大学    

论文提交日期:

 2022-06-16    

论文答辩日期:

 2022-06-02    

论文外文题名:

 Research on the Influence of Social Facilitation on Cognitive Load of Human-Computer Interaction    

论文中文关键词:

 认知负荷 ; 社会助长效应 ; 人机交互 ; 事件相关电位 ; 任务复杂度    

论文外文关键词:

 Cognitive Load ; Social Facilitation ; Human-computer Interaction ; Event-related Potentials ; Task Complexity    

论文中文摘要:

信息技术的高速发展使得人机交互系统越来越复杂,改变了人机交互的作业模式,个体需要完成的人机交互任务增多且更加复杂,导致其认知负荷增加。同时,多人人机交互作业模式下,他人在场以及电子监控设备的存在诱发了社会助长效应,该效应会对个体认知负荷产生影响,进而影响其工作绩效。因此,本文基于认知负荷理论和社会助长效应理论,选取他人在场和电子监控设备存在两种场景,研究人机交互作业中社会助长效应对认知负荷的影响,以期为多人人机交互作业模式下的工作安排及管理提供参考意见。

首先,本文采用文献研究法对认知负荷和社会助长效应的国内外研究现状进行梳理,得出本文研究出发点、研究内容与研究方法;其次,基于认知负荷和社会助长效应理论,通过模拟人机交互作业场景并设置不同的任务类型和任务复杂度,设计3(场景:单独在场、伪被试、监控)×2(任务复杂度:简单、复杂)×2(任务类型:字母、空间位置)的人机交互记忆任务实验;借助事件相关电位技术和主观量表分别获取与认知相关的脑电成分的波幅值以及主观认知负荷值,同时记录被试完成实验的正确率和反应时,并对以上数据进行均值分析、方差分析、波幅分析以及脑电地形图分析等分析;最后,为探究社会助长效应对人机交互作业认知负荷的影响,分别从社会助长效应对人机交互作业绩效的影响、社会助长效应对主观认知负荷的影响以及社会助长效应影响认识负荷的神经机制三个方面出发对数据结果进行分析和讨论,得到本文结论:

(1)社会助长效应可以提高简单任务的人机交互作业绩效,降低复杂任务的人机交互作业绩效。在人机交互作业中,他人在场和电子监控设备存在时,个体完成简单作业任务的绩效会提高,而在困难任务中则相反。具体表现在,个体完成简单任务时,其作业正确率会提高且作业时间会减少;完成困难任务时,其作业正确率会降低且作业时间会增加。

(2)社会助长效会增加个体的主观认知负荷,且任务越困难主观认知负荷越高。在人机交互作业中,他人在场和监控场景下个体感知到的认知负荷大于单独在场场景下感知到的认知负荷;完成困难任务感知到的认知负荷大于完成简单任务感知到的认知负荷。

(3)社会助长效应会减少简单任务的认知负荷,增加困难任务的认知负荷。在人机交互作业中,他人在场和监控场景下产生的P2波幅值大于单独在场场景下的P2波幅值,表明在他人在场和监控场景下个体投入了更多的注意资源;他人在场和监控场景下个体完成简单任务时产生的N2波幅值小于单独在场时产生的N2波幅值,而在困难任务下个体单独在场时产生的N2波幅值更小,说明社会助长效应在困难任务下带给了个体更大的认知冲突;在简单任务中,被试单独在场产生了更大的P3波幅,说明社会助长效应减少了简单任务的认知负荷,而在困难任务中他人在场和监控场景下产生了更大的P3波幅,说明社会助长效应增加了困难任务的认知负荷。

本文的研究成果可以帮助企业优化人机交互作业模式的管理,利用社会助长效应对个体认知负荷的影响,减少个体在人机交互作业中的失误次数,提高其工作效率。

论文外文摘要:

The rapid development of information technology has made human-computer interaction (HCI) systems more and more complex and has changed the mode of HCI operations. The number of HCI tasks that individuals need to complete has increased and become more complex, increasing the cognitive load on individuals and affecting their performance. At the same time, the presence of others and the presence of electronic monitoring devices in the multi-player HCI mode induces social facilitation, which has an impact on the cognitive load. Therefore, based on cognitive load theory and social facilitation theory, this paper selects two scenarios, namely the presence of others and the presence of electronic monitoring devices, to investigate the effect of social facilitation on cognitive load in HCI.
Firstly, this paper adopts the literature research method to review the current status of domestic and international research on cognitive load and social facilitation effects, and to arrive at the starting point, research content and research methods of this paper; secondly, based on the theory of cognitive load and social facilitation effects, the paper designs a 3 (scenario: alone present, pseudo-subject, monitoring) x 2 (task) x 2 (task complexity: simple, complex) human-computer interaction memory task experiment by simulating a human-computer interaction work scenario and setting different task types and task complexity. The experiment was conducted by simulating a human-computer interaction task scenario and setting different task types and task complexities, designing 3 (scenario: alone, pseudo-subject, monitoring) × 2 (task complexity: simple, complex) × 2 (task type: letter, spatial location) human-computer interaction memory tasks. Finally, in order to explore the effect of social facilitation effect on the cognitive load of HCI operations, the data results were analyzed and discussed from three aspects: the effect of social facilitation effect on the performance of HCI operations, the effect of social facilitation effect on the subjective cognitive load, and the neural mechanism of social facilitation effect on the cognitive load, respectively, and the conclusions of this paper were obtained.
(1) Social facilitation can increase HCI performance on simple tasks and decrease HCI performance on complex tasks. Individuals' performance on simple tasks increases when others are present and electronic monitoring devices are present during HCI tasks, while the opposite is true for difficult tasks. This is evidenced by an increase in correct performance and a decrease in time to complete simple tasks, and a decrease in correct performance and an increase in time to complete difficult tasks.
(2) Social facilitation increases the subjective cognitive load of the individual, and the more difficult the task, the higher the subjective cognitive load. In HCI tasks, individuals perceived greater cognitive load in the presence of others and in the monitoring scenario than in the presence alone scenario; the perceived cognitive load of completing a difficult task was greater than the perceived cognitive load of completing a simple task.
(3) Social facilitation reduces cognitive load on simple tasks and increases cognitive load on difficult tasks. In HCI operations, the P2 wave amplitudes generated in the presence of others and monitoring scenarios were larger than those in the presence alone scenario, indicating that individuals invested more attentional resources in the presence of others and monitoring scenarios; the N2 wave amplitudes generated by individuals in the presence of others and monitoring scenarios were smaller than those generated in the presence alone scenario for simple tasks, whereas the N2 wave amplitudes generated by individuals in the presence alone scenario for difficult tasks were smaller, indicating that the N2 wave amplitudes generated by individuals in the presence alone scenario were smaller than those in the presence alone scenario for difficult tasks. In the difficult task, the N2 amplitude was smaller, suggesting that the social facilitation effect brought greater cognitive conflict to the individual in the difficult task; in the simple task, the subject's presence alone produced a larger P3 amplitude, suggesting that the social facilitation effect reduced the cognitive load of the simple task, whereas in the difficult task the presence of others and the monitoring scenario produced a larger P3 amplitude, suggesting that the social facilitation effect increased the cognitive load of the difficult task.
The findings of this paper can help companies to optimize the management of HCI work patterns, reduce the number of individual errors in HCI work, and improve their productivity by exploiting the effect of social facilitation on individual cognitive load.

 

参考文献:

[1] 张婷.人机交互界面设计在产品可用性中的应用研究[J].包装工程,2014,35(20):63-66.

[2] Sharp H , Rogers Y , Preece J . Interaction design beyond human-computer interaction[M]. John Wiley & Sons, Inc,2007.

[3] Naveen Kumar, Jyoti Kumar. Measurement of cognitive load in HCI systems using EEG power spectrum: An experimental study[J]. Procedia Computer Science,2016,84(2016):70-78.

[4] 王燕青,马宇飞,张恒.社会助长效应对民航管制员的管制能力影响实验研究[J].科学技术与工程,2020,20(07):2944-2948.

[5] Victoria L, Claypoole, James L. Szalma. Electronic performance monitoring and sustained attention: Social facilitation for modern applications[J]. Computers in Human Behavior, 2019, 94(05):25-34.

[6] Sanders G S, Baron R S, Moore D L. Distraction and social comparison as mediators of social facilitation effects[J]. Journal of Experimental Social Psychology, 1978, 14(3):291-303.

[7] Sweller J. Cognitive load during problem solving: Effects on learning[J]. Cognitive science, 1988, 12(2):257-285.

[8] 李金波,许百华.人机交互过程中认知负荷的综合测评方法[J].心理学报,2009,41(01):35-43.

[9] 张宁.基于认知负荷的公共信息设备界面设计研究[D].大连:大连海事大学,2013.

[10] Saunders C, Wiener M, Klett S, et al. The impact of mental representations on ICT-related overload in the use of mobile phones[J]. Journal of Management Information Systems, 2017, 34(3):803-825.

[11] Jen-Hwa Hu P, Han-fen H, Xiao F. Examining the mediating roles of cognitive load and performance outcomes in user satisfaction with a website: A field quasi-experiment[J]. MIS Quarterly, 2017, 41(3):975-987.

[12] 张晓琼,王丹,张乐潼等.大学生认知风格与元认知能力对微视频学习效果的影响[C]//第二十一届全国心理学学术会议摘要集,2018.

[13] 陈丽君,林伟婷,卓铎涛,张玲燕.情绪状态对学习者虚拟图形加工认知负荷的影响研究[J].数字教育,2020,6(05):38-43.

[14] 贺孝梅,李剑钰.人机交互中认知负荷的成因分析与设计策略研究[J].包装工程, 2020,41(10):24-30.

[15] McCauley L, D’Mello S, Kim L, et al. MIKI: a case study of an intelligent kiosk and its usability[M]//New Advances in Virtual Humans. Springer, Berlin, Heidelberg, 2008:153-176.

[16] Farooq A. Haptics in Kiosks and ATMs for the disabled[D]. Tampere: Univ. of Tampere,2009.

[17] 李鹏程,张力,戴立操,黄卫刚.核电厂数字化人-机界面特征对人因失误的影响研究[J].核动力工程,2011,32(01):48-52.

[18] 汪海波,薛澄岐,黄剑伟,宋广丽.基于认知负荷的人机交互数字界面设计和评价[J].电子机械工程,2013,29(05):57-60.

[19] 杨景,李培林,王崴,瞿珏,刘晓卫.指控舱显控界面字符显示对认知负荷的影响[J].计算机工程与设计,2015,36(12):3306-3310+3323.

[20] 张雄飞,薛澄岐,沈张帆.人机交互数字界面的图标复杂度探析[J].设计,2017(19):119-120.

[21] 戴立操,陆文捷.界面管理任务对核电厂操纵员的认知行为影响分析[J].南华大学学报(社会科学版),2019,20(01):8-13.

[22] Paas F G W C, Van Merriënboer J J G. Instructional control of cognitive load in the training of complex cognitive tasks[J]. Educational psychology review, 1994,6(4):351-371.

[23] Haga S, Shinoda H, Kokubun M. Effects of task difficulty and time-on-task on mental workload[J]. Japanese Psychological Research, 2002, 44(3):134-143

[24] 李金波.人机交互中任务特征和个体特征对认知负荷的综合影响[J].心理科学, 2010,33(04):972-975.

[25] 郭烈,胥林立,秦增科,王旭.自动驾驶接管影响因素分析与研究进展[J/OL].交通运输系统工程与信息:1-22[2022-03-05].http://kns.cnki.net/kcms/detail/11.4520.U.20220211.1719.036.html.

[26] Bond C F. Social facilitation: A self-presentational view[J]. Journal of Personality and Social Psychology,1982,42(6):1042.

[27] Bond C F, Titus L J. Social facilitation: a meta-analysis of 241 studies[J]. Psychological bulletin, 1983,94(2):265.

[28] van Bruggen J M, Kirschner P A, Jochems W. External representation of argumentation in CSCL and the management of cognitive load[J]. Learning and instruction,2002,12(1):121-138.

[29] Huang T C, Huang Y M, Yu F Y. Cooperative weblog learning in higher education: Its facilitating effects on social interaction, time lag, and cognitive load[J]. Journal of educational technology & society,2011,14(1):95-106.

[30] Cole T, Barrett D J K, Griffiths M D. Social facilitation in online and offline gambling: A pilot study[J]. International Journal of Mental Health and Addiction,2011,9(3):240-247.

[31] Yu R, Wu X. Working alone or in the presence of others: Exploring social facilitation in baggage X-ray security screening tasks[J]. Ergonomics,2015,58(6):857-865.

[32] 袁玉琢,孟乐,李朝旭.他人成绩水平对个体工作绩效的影响——基于社会助长理论视角[J].社会心理科学,2016,31(03):66-72.

[33] Liu N, Yu R. Influence of social presence on eye movements in visual search tasks[J]. Ergonomics,2017,60(12):1667-1681.

[34] Claypoole V L, Szalma J L. Examining social facilitation in vigilance: a hit and a miss[J]. Ergonomics,2017,60(11):1485-1499.

[35] Chib V S, Adachi R, O’Doherty J P. Neural substrates of social facilitation effects on incentive-based performance[J]. Social Cognitive and Affective Neuroscience,2018,13(4):391-403.

[36] 李朝旭,莫雷.对性别助长假设的初步验证:在场观众的性别影响作业绩效吗?[J].心理科学, 2004(06):1400-1403.

[37] 王新珠. 性别助长和注意力方向的调节作用的研究[D].开封:河南大学,2006.

[38] Davidson R, Henderson R. Electronic performance monitoring: A laboratory investigation of the influence of monitoring and difficulty on task performance, mood state, and self‐reported stress levels[J]. Journal of Applied Social Psychology, 2000, 30(5):906-920.

[39] Claypoole V L, Szalma J L. Electronic performance monitoring and sustained attention: Social facilitation for modern applications[J]. Computers in Human Behavior,2019,94(2019):25-34.

[40] Borg G. Subjective aspects of physical and mental load[J]. Ergonomics,1978,21(3):215-220.

[41] Hart S G, Staveland L E. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research[M]//Advances in psychology. North-Holland,1988,52:139-183.

[42] 廖建桥.脑力负荷及其测量[J].系统程报,1995,10(3):119-123.

[43] 崔凯,孙林岩,冯泰文,邢星.脑力负荷度量方法的新进展述评[J].工业工程,2008,11(5):1-5.

[44] Cooper, G.. Cognitive load theory as an aid for instructional design[J]. Australia Journal of Educational Technology,1990,6(1):108-113.

[45] Quiroga L M, Crosby M E, Iding M K. Reducing cognitive load[C]//37th Annual Hawaii International Conference on System Sciences, Proceedings of the IEEE,2004:9.

[46] 辛自强, 林崇德.认知负荷与认知技能的图式获得的关系及其教学意义[J].华东师范大学学报:教育科学版,2002,20(4):55-60.

[47] 曹宝龙,刘慧娟,林崇德.认知负荷对小学生工作记忆资源分配策略的影响[J].心理发展与教育, 2005(01):36-42.

[48] 赵俊峰.解密学业负担:学习过程中的认知负荷研究[M].北京:科学出版社,2011.

[49] Kahneman D. Attention and effort[M]. Englewood Cliffs, NJ: Prentice-Hall,1973.

[50] 黄希庭.心理学导论[M].北京:人民教育出版社,1991.

[51] Paas, F.. Renkl, A., & Sweller, J.. Cognitive load theory and instructional design: Recent developments[J]. Educational Psychologist,2003,38(1):1-4.

[52] Sweller J. Cognitive load theory, learning difficulty, and instructional design[J]. Learning and instruction,1994,4(4):295-312.

[53] Seufert, T., Janen, I, & Brúnken, R. The impact of intrinsic cognitive load on the effectiveness of graphical help for coherence formation[J]. Computers in Human Behavior, 2007,23(3):1055-1071.

[54] Kalyuga. S., Chandler, P., & Sweller, J., Managing split-attention and redundancy in multimedia instruction[J]. Applied Cognitive Psychology,1999,13(4):351-371.

[55] Salomon, G.. The differential investment of mental effort in learning from different sources[J]. Educational Psychologist,1983,18(1):42-50.

[56] Tabbers, H.K., Martens, R.L., Van Merrienboer, J.J.G.. Multimedia instructions and cognitive load theory, Effects of modality and cueing[J]. British Journal of Educational Psychology, 2004,74(1):71-81.

[57] Paul, A.. Using subjective measures to detect variations of intrinsic load cognitive load within problems[J]. Learning and Instruction,2006,16(5):389-400.

[58] 肖元梅,范广勤,冯昶,李伟,姜红英.中小学教师NASA-TLX量表信度及效度评价[J].中国公共卫生,2010,26(10):1254-1255.

[59] Ahlstrom U, Friedman-Berg F J. Using eye movement activity as a correlate of cognitive workload[J]. International journal of industrial ergonomics,2006,36(7):623-636.

[60] Meister D . Behavioral foundations of system development[J]. American Journal of Psychology, 1976,90(2):353-356.

[61] Ryu K, Myung R. Evaluation of mental workload with a combined measure based on physiological indices during a dual task of tracking and mental arithmetic[J]. International Journal of Industrial Ergonomics,2005,35(11):991-1009.

[62] 康卫勇,袁修干,柳忠起,刘伟.飞机座舱视觉显示界面脑力负荷综合评价方法[J].航天医学与医学工程,2008(02):103-107.

[63] Zekveld A A, Kramer S E, Festen J M. Cognitive load during speech perception in noise: The influence of age, hearing loss, and cognition on the pupil response[J]. Ear and hearing,2011, 32(4):498-510.

[64] Mazur L M, Mosaly P R, Moore C, et al. Toward a better understanding of task demands, workload, and performance during physician-computer interactions[J]. Journal of the American Medical Informatics Association,2016,23(6):1113-1120.

[65] Yan S, Tran C C, Chen Y, et al. Effect of user interface layout on the operators’ mental workload in emergency operating procedures in nuclear power plants[J]. Nuclear Engineering and Design, 2017,322(2017):266-276.

[66] Triplett N. The dynamogenic factors in pacemaking and competition[J]. The American journal of psychology,1898,9(4):507-533.

[67] Allport F H. The influence of the group upon association and thought[J]. Journal of experimental psychology,1920,3(3):159.

[68] Worchel S, Cooper J, Goethals G R. Understanding social psychology[M]. Thomson Brooks/Cole Publishing Co,1991.

[69] 章志光.社会心理学[M].北京:人民教育出版社,1996.

[70] Aiello J R,Douthitt E A. Social facilitation from Triplett to electronic performance monitoring[J]. Group Dynamics: Theory, Research, and Practice,2001,5(3):163.

[71] Zajonc, R. B.. Social facilitation [J]. Science, 1965, 149(3681): 269-274.

[72] Chen, S. C.. Social modification of the activity of ants in nest-building[J]. Physiological Zoology,1937,10(4):420-436.

[73] Mitchell D B, Hunt R R, Schmitt F A. The generation effect and reality monitoring: Evidence from dementia and normal aging[J]. Journal of Gerontology,1986,41(1):79-84.

[74] Cottrell N B . Performance in the presence of other human beings: Mere presence, audience, and affiliation effects[M]. New York: Holt,1968.

[75] Cottrell. N. B.. Social facilitation[M]. New York: Holt,1972.

[76] Zajonc, R. B.. Psychology of group influence [M]. Hillsdale, NJ: Erlbaum,1980.

[77] Guerin B, Innes J M. Social facilitation and social monitoring: A new look at Zajonc's mere presence hypothesis[J]. British Journal of Social Psychology,1982,21(1):7-18.

[78] Wicklund. R A. Advances in experimental social psychology[C]. New York: Academic Press, 1975.

[79] 魏景汉,罗跃嘉.事件相关电位原理与技术[M].北京:科学出版社,2010.

[80] Dawson G D. Cerebral responses to electrical stimulation of peripheral nerve in man[J]. Journal of neurology, neurosurgery, and psychiatry,1947,10(3):134.

[81] 杨文俊.事件相关电位[J].新医学,1999,30(5):3.

[82] Luck S J, Hillyard S A. Spatial filtering during visual search[J]. Journal of Experimental Psychology Human Perception & Performance,1994,20(5):1000.

[83] Lerner J S, Keltner D. Fear, anger, and risk[J]. Journal of Personality & Social Psychology, 2001,81(1):146.

[84] 牛亚峰.基于脑电技术的数字界面可用性评价方法研究[D].南京:东南大学,2015.

[85] Yuan J, Zhang Q, Chen A, et al. Are we sensitive to valence differences in emotionally negative stimuli? Electrophysiological evidence from an ERP study[J]. Neuropsychologia,2007, 45(12):2764-2771.

[86] Nagy, E., Ppotts, G. F. & Loveland, K. A. Sex-related ERP differences in deviance detection[J]. International Journal of Psychophysiology,2003,48(3):285-292.

[87] Swainson, R., Cunnington, R., Jackson, G. M., Rorden, C., Peters, A. M., Morris, P. G. & Jackson, S. R. Cognitive control mechanisms revealed by ERP and fMRI: Evidence from repeated task-switching[J]. Journal of Cognitive Neuroscience,2003,15(6):785-799.

[88] Ma, Q. G., Wang, X. Y., Dai, S. Y. & Shu, L. C. Event-related potential N270 correlates of brand extension[J]. Neuroreport,2007,18(10):1031-1034.

[89] Isreal J B, Wickens C D, Donchin E. The dynamics of P300 during dual-task performance[J]. Progress in brain research,1980,54(54):416-421.

[90] Polich J , Kok A . Cognitive and biological determinants of P300: an integrative review[J]. biological psychology, 1995,41(2):0-146.

[91] Kida T , Nishihira Y , Hatta A , et al. Resource allocation and somatosensory P300 amplitude during dual task: effects of tracking speed and predictability of tracking direction.[J]. Clinical Neurophysiology Official Journal of the International Federation of Clinical Neurophysiology, 2004,115(11):2616-2628.

[92] Kok A . On the utility of P3 amplitude as a measure of processing capacity.[J]. Psychophysiology, 2010,38(3):557-577.

[93] Pratt N , Willoughby A , Swick D . Effects of Working Memory Load on Visual Selective Attention: Behavioral and Electrophysiological Evidence[J]. Frontiers in Human Neuroscience, 2011,5(9):57.

[94] Luis, García-Larrea, and, et al. Revisiting the oddball paradigm. Non-target vs neutral stimuli and the evaluation of ERP attentional effects[J]. Neuropsychologia,1992,30(8):723-741.

[95] Dr, Barbara, L, et al. The Go-no go paradigm in attention deficit disorder[J]. Annals of Neurology,1988,24(5):610-614

[96] Owen A M , Mcmillan K M , Laird A R , et al. N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.[J]. Human Brain Mapping, 2010, 25(1):46-59.

[97] 王湘,陈斌,刘鼎,王晓燕,姚树桥.不同记忆负荷水平下执行控制的ERP效应[J].中国心理卫生杂志,2008(08):576-582.

[98] 张恒. 社会助长效应对民航管制安全绩效影响研究[D].天津:中国民航大学,2019.

[99] 于琦.同伴在场身份影响学习者视频学习的认知神经机制[D].武汉:华中师范大学,2021.

[100] Hall B, Henningsen D D. Social facilitation and human–computer interaction[J]. Computers in human behavior,2008,24(6):2965-2971.

[101] Liu N, Yu R, Yang L, et al. Gender composition mediates social facilitation effect in co-action condition[J]. Scientific reports,2017,7(1):1-13.

[102] Liu N, Yu R. Social facilitation effect in search and decision‐making components of visual inspection[J]. Human Factors and Ergonomics in Manufacturing & Service Industries, 2019, 29(3):224-232.

[103] 吴晓莉. 复杂信息任务界面的出错——认知机理研究[D].南京:东南大学,2015.

[104] 李永建,田清,傅浩,廖祥,朱坤.知识作业难度计量的脑电实验研究[J].管理工程学报,2008,22(04):51-55.

[105] 梁静坤,徐桂芝,李明钊,于洪利.基于听觉感知任务下的脑电驾驶实验研究[J].中国生物医学工程学报,2012,31(02):217-221.

[106] Bourisly A K, Shuaib A. Neurophysiological effects of aging: a P200 ERP study[J]. Translational neuroscience,2018,9(1):61-66.

[107] 吕勇,许贵芳,沈德立.汉英语言内及语言间重复启动效应的ERP研究[J].心理与行为研究,2008(02):81-88.

[108] 昌颖超,袁航,郑婷婷,韩凌子,何雅吉,吴茜,陈煦海.阈下情绪反馈对结果评价的影响及其性别差异[J].心理科学,2021,44(05):1026-1034.

[109] 郭军锋,罗跃嘉.社会情绪负性偏向的事件相关电位研究[J].中国临床心理学杂志,2007(06):574-576.

[110] Ritter W, Simson R, Vaughan HG Jr, Macht M. Manipulation of event-related potential manifestations ofinformation processing stages[J]. Science,1982,218(4575):909-911

[111] Gillessen S, Naumov Y N, Nieuwenhuis E E S, et al. CD1d-restricted T cells regulate dendritic cell function and antitumor immunity in a granulocyte–macrophage colony-stimulating factor-dependent fashion[J]. Proceedings of the National Academy of Sciences, 2003,100(15):8874-8879.

[112] D. E. Linden. The p300: where in the brain is it produced and what does it tell us?[J].Neuroscientist,2005,11(6):563-576.

[113] Ullsperger P, Metz A& Gille H. The P300 component of the event-related brain potential and mental effort[J]. Ergonomics,1988,31(8):1127-1137.

[114] 董明清,马瑞山,程宏伟等.双重任务脑力负荷的心理生理学评定[J].中华航空航天医学杂志,1997,8(3):138-143

[115] A. F. Kramer and D. L. Strayer. Assessing the development of automatic processing: an application of dual-task and event-related brain potential methodologies [J]. Biol Psychol,1988, 26(1-3):231-267.

[116] E. Donchin and M. G. H. Coles. Is the P300 component a manifestation of context updating?[J]. Behave Brain Sci,1988,11(03):357-374.

[117] W. Sommer, J. Matt, and H. Leuthold. Consciousness of attention and expectancy as reflected in event-related potentials and reaction times[J]. J Exp Psychol Learn Mem Cogn, 1990,16(5):902

[118] Bernd Strauss. Social facilitation in motor tasks: a review of research and theory[J]. Psychology of Sport & Exercise,2002,3(3):237-256.

中图分类号:

 F272.92    

开放日期:

 2023-06-17    

无标题文档

   建议浏览器: 谷歌 火狐 360请用极速模式,双核浏览器请用极速模式