新驾驶员险情感知训练研究
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摘要
随着中国的快速汽车化,道路交通安全形势日益严峻,而大量涌现的新驾驶员成为严重影响驾驶安全的直接或间接因素。论文针对新驾驶员险情识别和应对能力进行了基于驾驶仿真体验和绩效反馈的一系列研究,以期探索提高新驾驶员险情感知能力的途径和方法,进而揭示有关干预措施的内在作用机理。
     首先运用聚焦群体访谈法和问卷调查法搜集整理和筛选出在北京城市道路条件下最为典型和常见的道路险情,形成了典型险情场景库。然后运用虚拟现实仿真技术,研制了能用于驾驶仿真训练、测试和实验数据分析的驾驶仿真系统,将一系列险情案例按照实验研究要求制作成虚拟驾驶场景,以便进行新驾驶员险情应对训练和干预,同时通过两类不同经验驾驶员的预实验初步验证了实验方法的可行性。
     参照计划行为理论并基于体验式驾驶训练和绩效反馈思想,设计了包含8种不同类型道路险情的训练干预实验,16名训练组新驾驶员接受所设计的综合训练干预,包括在模拟器上进行8个险情的驾驶操作,事后进行自身驾驶绩效的录像反馈和安全行为示范教育,与另外16名未进行此类训练干预的对照组新驾驶员进行对比考核,用另外对应的8个不同险情来检验训练效果。结果表明训练组的险情处理绩效、险情预测程度显著高于对照组,而脑力负荷则低于对照组,速度响应更为及时,从而证明了所提训练干预方法在仿真驾驶情境下的有效性。
     为了进一步探究驾驶仿真训练方法的机理并提高其训练效果,第二个实验对比了融入错误管理培训思想的驾驶仿真训练和录像示范训练的差异性。两者在犯错暴露次数等关键指标上进行了等量搭配,以便保证可对比性。结果表明:前者在提高险情处理绩效上更为有效,此外还有助于提高受训者的元认知活动和内在激励水平,从而进一步验证了体验驾驶中自我探索的重要性。
     研究成果对于探索新驾驶员险情感知训练方法和提高训练效果具有重要实用价值,对于揭示训练干预作用机理具有一定的理论价值。本研究的方法和主要结论对于其它领域的训练干预也有理论和实际借鉴意义。
Along with the rapid motorization, China’s road transportation safety problem is becoming more and more challenging. The rapid increase of novice drivers on road has become a major direct/indirect factor that seriously affects driving safety. This dissertation conducted a series of experimental studies on novice driver’s road hazard perception and handling performance using participative driving simulation and feedback. The aim is to explore approaches and methods to effectively improve novice drivers’hazard perception and to investigate underlying mechanism of these approaches.
     First, focus group discussions and questionnaires were used to collect and select typical road hazards that appear more popular in Beijing road transportation system. Then virtual reality simulation techniques were used to establish a driving simulation system that can be used for driving simulation training, testing, data recording and afterward analysis. The selected typical road hazards were all developed to be simulation scenarios for experimental study. Validity and feasibility were primarily proved by a pilot test using 8 novice drivers and 8 experienced drivers for the designed simulation scenarios.
     Referring to the Theory of Planned Behavior and the idea of participative driving simulation training and own performance feedback, 8 different training scenarios were used for intervention of novice driver’s hazard perception and handling. Sixteen novice drivers of the treated group received participative simulated driving training and their own performance feedback using their own driving data after driving. Recommended hazard handling method was also shown to the participants as enhanced treatment. For the 16 participants in the control group, no training was provided. Six weeks later, participants in the both groups were tested using 8 corresponding but different hazard scenarios. Results show that the treated group had significantly higher hazard handling performance, significantly better hazard anticipation, significantly earlier response to emerging hazardous scenarios, and lower mental workload. These results indicate that the treatment method is effective in improving novice driver’s hazard handling performance.
     Next step in order to investigate the mechanism of training based on simulated driving and improve the training efficiency, a comparative study was conducted between simulation-based error management training (SEMT) and video-based guided error training (VGET) under the premise of equal exposure to errors. The SEMT group allows its 16 participants to drive on a desktop simulator to interact with a 14km road containing 8 hazards and they were encouraged to treat error as a positive way of learning. The VGET group allows its 16 participants to view pre-made driving video either with or without handling errors. Results show that SEMT group had significantly higher hazard handling performance, significantly higher metacognition and intrinsic motivation in the one-week later testing experiment. These results validated the importance of self-exploration in the participative driving.
     The findings in this study have apparent potential practical impact for novice driver training and also theoretical contribution in understanding the mechanism of novice driver intervention in dealing with road hazards. The methods and main conclusions can also be extended to training in other domains.
引文
[1] Mayhew D R, Simpson H M, Pak A. Changes in collision rates among novice drivers during the first months of driving. Accident Analysis & Prevention, 2003, 35:683-691.
    [2] Deery H A. Hazard and risk perception among young novice drivers. Journal of Safety Research, 1999, 30:225-236.
    [3] Brown I D, Groeger J A. Risk perception and decision taking during the transition between novice and experienced driver status. Ergonomics, 1988, 31:585-597.
    [4]公安部交通管理局.中华人民共和国道路交通事故统计年报(2005年度).北京:公安部交通管理科学研究所, 2006.
    [5]公安部交通管理局.中华人民共和国道路交通事故统计年报(2006年度).北京:公安部交通管理科学研究所, 2007.
    [6]公安部交通管理局.中华人民共和国道路交通事故统计年报(2007年度).北京:公安部交通管理科学研究所, 2008.
    [7]公安部交通管理局.中华人民共和国道路交通事故统计年报(2008年度).北京:公安部交通管理科学研究所, 2009.
    [8]北京东方时尚驾驶学校有限公司.学车咨询. 2010.
    [9]海淀驾校.学车指南. 2010.
    [10] Pollatsek A, Narayanaan V, Pradhan A, et al. Using eye movements to evaluate a pc-based risk awareness and perception training program on a driving simulator. Human Factors, Fal 2006, 48:447-464.
    [11] OECD. Young drivers - the road to safery. Paris: Joint Transport Research Centre, ECMT and OECD, 2006.
    [12] Evans L, Wasielewski P. Risky driving related to driver and vehicle characteristics. Accident Analysis & Prevention, 1983, 15:121-136.
    [13] Wasielewski P. Speed as a measure of driver risk: Observed speeds versus driver and vehicle characteristics. Accident Analysis & Prevention, 1984, 16:89-103.
    [14] Bottom C G, Ashworth R. Factors affecting the variability of driver gap-acceptance behaviour. Ergonomics, 1978, 21:721-734.
    [15] Kone?ni V J, Ebbesen E B, Kone?ni D K. Decision processes and risk taking in traffic: Driver response to the onset of yellow light. in Journal of Applied Psychology. vol. 61, 1976, 359-367.
    [16] Retting R A, Williams A F. Characteristics of red light violators: Results of a field investigation. Journal of Safety Research, 1996, 27:9-15.
    [17] Hauber A R. The social psychology of driving behaviour and the traffic environment: Research on aggressive behaviour in traffic. Applied Psychology, 1980, 29:461-474.
    [18] Shinar D. Aggressive driving: The contribution of the drivers and the situation. Transportation Research Part F: Traffic Psychology and Behaviour, 1998, 1:137-160.
    [19] Mayhew D, Simpson H. The role of driving experience: Implications for the training and licensing of new drivers. Toronto, Ontario: Insurance Bureau of Canada, 1995.
    [20] Deery H A, Fildes B N. Young novice driver subtypes: Relationship to high-risk behavior, traffic accident record, and simulator driving performance. Human Factors, 1999, 41:628-643.
    [21] Braitman K A, Kirley B B, McCartt A T, et al. Crashes of novice teenage drivers: Characteristics and contributing factors. Journal of Safety Research, 2008, 39:47-54.
    [22] Deery H A, Love A W. The effect of a moderate dose of alcohol on the traffic hazard perception profile of young drink-drivers. Addiction, Jun 1996, 91:815-827.
    [23] Deery H A, LOVE A W. The driving expectancy questionnaire : Development, psychometric assessment and predictive utility among young drink-drivers. Journal of studies on alcohol, 1996, 57:193-202.
    [24] Elander J, West R, French D. Behavioral correlates of individual differences in road-traffic crash risk : An examination of methods and findings. Psychological Bulletin, 1993, 113:279-294.
    [25] Maycock G, Lockwood C, Lester J. The accident liability of car drivers. Crowthorne, United Kingdom: Transport and Road Research Lab, 1991.
    [26] Gregersen N P, Berg H Y, Engstrom I, et al. Sixteen years age limit for learner drivers in sweden - an evaluation of safety effects. Accident Analysis and Prevention, 2000, 32:25-35.
    [27] Sagberg F. Month-by-month changes in accident risk among novice drivers. in 24th International Congress of Applied Psychology, San Francisco, 1998.
    [28] Bj(?)rnskau T, Sagberg F. What do novice drivers learn during the first months of driving? Improved handling skills or improved road user interaction? in Traffic and transport psychology: Theory and application, Underwood G, Ed. Oxford: Elsevier Science Ltd, 2005, 129-140.
    [29] Sagberg F, Bjornskau T. Hazard perception and driving experience among novice drivers. Accident Analysis and Prevention, Mar 2006, 38:407-414.
    [30] Matthews M L, Moran A R. Age differences in male drivers' perception of accident risk: The role of perceived driving ability. Accident Analysis & Prevention, 1986, 18:299-313.
    [31] Finn P, Bragg B W E. Perception of the risk of an accident by young and older drivers. Accident Analysis and Prevention, 1986, 18:289-298.
    [32] Gregersen N P. Young drivers' overestimation of their own skill - an experiment on the relation between training strategy and skill. Accident Analysis and Prevention, 1996, 28:243-250.
    [33] Ivancic K, Hesketh B. Learning from errors in a driving simulation: Effects on driving skill and self-confidence. Ergonomics, Dec 2000, 43:1966-1984.
    [34] Johnston I, Perry D. Driver behaviour research–needs and priorities. Australian Road Research Board, Research Report ARR, 1980, 108.
    [35] Wagenaar W. Risk taking and accident causation. Risk-taking behavior, 1992:257-281.
    [36] Hollands J, Wickens C. Engineering psychology and human performance: Prentice Hall, 1999.
    [37] Rasmussen J. The definition of human error and a taxonomy for technical system design. New technology and human error, 1987.
    [38] Schneider W, Shiffrin R. Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 1977, 84:1-66.
    [39] Michon J A. A critical view of driver behavior models. What do we know, what should we do? in Human behavior and traffic safety, Evans L and Schwing R, Eds. New York: Plenum Press, 1985.
    [40] van der Molen H H, Botticher A M T. Risk models for traffic participants: A concerted effort for theoretical operationalizations. in Road users and traffic safety, Rothengatter J A and de Bruin R A, Eds. Assen, The Netherlands: Van Gorcum, 1987.
    [41] Hale A R, Stoop J, Hommels J. Human error models as predictors of accident scenarios for designers in road transport systems. Ergonomics, 1990, 33:1377-1387.
    [42] Van Der Molen H, Botticher A. Risk models for traffic participants: A concerted effort for theoretical operationalizations. Road user and traffic safety. Assen/Maastricht, The Netherlands: Vam Gorcum, 1987:61-81.
    [43] Reason J. Human error: Cambridge University Press, 1990.
    [44] Armsby P, Boyle A J, Wright C C. Methods for assessing drivers' perception of specific hazards on the road. Accident Analysis & Prevention, 1989, 21:45-60.
    [45] Horswill M, McKenna F. Drivers' hazard perception ability: Situation awareness on the road. in A cognitive approach to situation awareness: Theory and application, Banbury S and Tremblay S, Eds.: Ashgate Pub Ltd, 2004, 155-175.
    [46] McKenna F, Crick J. Hazard perception in drivers: A methodology for testing and training. Trl report, 313. Transport Research Laboratory: Crowthorne, 1994.
    [47] McKenna F P, Horswill M S, Alexander J L. Does anticipation training affect drivers' risk taking? Journal of Experimental Psychology-Applied, 2006, 12:1-10.
    [48] Mills K, Hall R, McDonald M, et al. The effects of hazard perception training on the development of novice driver skills: Transportation Research Group, University of Southampton., 1998.
    [49] Fisher D L, Pollatsek A P, Pradhan A. Can novice drivers be trained to scan for information that will reduce their likelihood of a crash? Injury Prevention, 2006, 12 Suppl 1:i25-9.
    [50]赵亮.汽车驾驶行为理论及基于3d的危险感受性计算机模拟系统研究[硕士学位论文].西安:长安大学, 2005.
    [51] Bailly B, Bellet T, Goupil C. Drivers' mental representations: Experimental study and training perspectives. in Driver behaviour and training. vol. 1, Dorn L, Ed.: Ashgate Pub Co, 2003, 359-369.
    [52] Allen R, Rosenthal T, Park G, et al. Experience with low cost, pc based system for younger driver training (paper no 614). Hawthorne, california: Systems technology. Inc, June, 2003.
    [53] Wierwille W W. Driving simulator design for realistic handling. in 3rd International Conference on Vehicle System Dynamics, Amsterdam, 1975: 186-199.
    [54] Arthur E J, Hancock P A, Chrysler S T. The perception of spatial layout in real and virtual worlds. in Ergonomics. vol. 40: Taylor & Francis Ltd, 1997, 69-77.
    [55] Dorn L, Barker D. The effects of driver training on simulated driving performance. Accident Analysis and Prevention, 2005, 37:63-69.
    [56] Bar-Gera H, Shinar D. The tendency of drivers to pass other vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 2005, 8:429-439.
    [57] T?rnros J. Driving behaviour in a real and a simulated road tunnel--a validation study. Accident Analysis & Prevention, 1998, 30:497-503.
    [58] Dutta A, Fisher D L, Noyce D A. Use of a driving simulator to evaluate and optimize factors affecting understandability of variable message signs. Transportation Research Part F: Traffic Psychology and Behaviour, 2004, 7:209-227.
    [59] Wang Y, Hu B, Zhang W, et al. Road guide signs evaluation and optimization of a main cloverleaf junction based on driving simulation. Vancouver, BC, Canada, 2008: 923-928.
    [60]田新民,田泉,田原.客车驾驶员驾驶适宜性的动态模拟驾驶测试.公路交通科技, 2000.
    [61]丁立,熊坚,何玉川.基于模拟器的道路安全评价方法.中国公路学报, 2003.
    [62] Wang Y, Zhang W, Lesch M F, et al. Changing drivers' attitudes towards mobile phone use through participative simulation testing and feedback. Injury Prevention, 2009, 15:384-389.
    [63] Blaauw G J. Driving experience and task demands in simulator and instrumented car: A validation study. Human Factors, 1982, 24:473-486.
    [64] Godley S T, Triggs T J, Fildes B N. Driving simulator validation for speed research. Accident Analysis and Prevention, 2002, 34:589-600.
    [65]王颖.基于人机交互仿真的驾驶次任务研究[博士学位论文].北京:清华大学, 2009.
    [66] Mollenhauer M. Simulator adaptation syndrome literature review. Royal Oak, Michigan: Realtime Technologies, Inc, 2004.
    [67] Treisman M. Motion sickness: An evolutionary hypothesis. Science, July 29, 1977 1977, 197:493-495.
    [68] Riccio G E, Stoffregen T A. An ecological theory of motion sickness and postural instability. Ecological Psychology, 1991, 3:195-240.
    [69] Kolasinski E. Simulator sickness in virtual environments: US Army Research Institute for the Behavioral and Social Sciences, 1995.
    [70] Kelly M J, Lassacher S, Shipstead Z. A high fidelity driving simulator as a tool for design and evaluation of highway infrastructure upgrades FHWA/MT-07-005 /8117-33, 2007.
    [71] Allen R W, Park G, Theodore J. Rosenthal T J, et al. A process for developing scenarios for driving simulations (paper no 632). Hawthorne, california: Systems technology. Inc, June, 2004.
    [72] Frese M, Albrecht K, Altmann A, et al. The effects of an active development of the mental model in the training process: Experimental results in a word processing system. Behaviour & Information Technology, 1988, 7:295-304.
    [73] Frese M, Altmann A. The treatment of errors in learning and training. in Developing skills with information training, Baimbridge L and Quintanilla S A R, Eds. New York: Wiley, 1989, 65-86.
    [74] Frese M, Brodbeck F, Heinbokel T, et al. Errors in training computer skills: On the positive function of errors. Human-Computer Interaction, 1991, 6:77-93.
    [75] Kozlowski S, Salas E. An organizational systems approach for the implementation and transfer of training. Improving training effectiveness in work organizations, 1997:247-287.
    [76] Neisser U. Cognition and reality: Principles and implications of cognitive psychology: Freeman San Francisco, CA, 1976.
    [77] Fisher K M, Lipson J I. Twenty questions about student errors. Journal of Research in Science Teaching, 1986, 23:783-803.
    [78] Morgan G. Images of organization: Sage Publications, Inc, 2006.
    [79] Zapf D, Brodbeck F C, Frese M, et al. Errors in working with office computers: A first validation of a taxonomy for observed errors in a field setting. International Journal of Human-Computer Interaction, 1992, 4:311-339.
    [80] Ivancic K, Hesketh B. Making the best of errors during training. Training Research Journal, 1995/1996, 1:103-125.
    [81] Dormann T, Frese M. Error training: Replication and the function of exploratory behavior. International Journal of Human-Computer Interaction, 1994, 6:365-372.
    [82] Nordstrom C R, Wendland D, Williams K B.“to err is human”: An examination of the effectiveness of error management training. Journal of Business and Psychology, 1998, 12:269-282.
    [83] Wood R, Kakebeeke B, Debowski S, et al. The impact of enactive exploration on intrinsic motivation, strategy, and performance in electronic search. Applied Psychology, 2000, 49:263-283.
    [84] Heimbeck D, Frese M, Sonnentag S, et al. Integrating errors into the training process: The function of error management instructions and the role of goal orientation. Personnel Psychology, Sum 2003, 56:333-361.
    [85] Debowski S, Wood R E, Bandara A. Impact of guided exploration and enactive exploration on self-regulatory mechanisms and information acquisition through electronic search. in Journal of Applied Psychology. vol. 86, 2001, 1129-1141.
    [86] Chillarege K, Nordstrom C, Williams K. Learning from our mistakes: Error management training for mature learners. Journal of Business and Psychology, 2003, 17:369-385.
    [87] Flavell J H. Metacognitive aspects of problem solving. in The nature of intelligence, Resnick L B, Ed. Hillsdale, NJ: Erlbaum, 1976, 231-236.
    [88] Keith N, Frese M. Self-regulation in error management training: Emotion control and metacognition as mediators of performance effects. Journal of Applied Psychology, Jul 2005, 90:677-691.
    [89] Ford J K, Weissbein D A, Smith E M, et al. Relationships of goal orientation, metacognitive activity, and practice strategies with learning outcomes and transfer. in Journal of Applied Psychology. vol. 83, 1998, 218-233.
    [90] Bandura A. Self-efficacy: The exercise of control: Worth Publishers, 1997.
    [91] White R. Motivation reconsidered: The concept of competence. Psychological Review, 1959, 66:297-333.
    [92] Frese M. Error management in training: Conceptual and empirical results. in Organizational learning and technological change, series f: Computer and systems sciences. vol. 141, Zucchermaglio C, Bagnara S, and Stucky S U, Eds. Berlin, Germany: Springer, 1995, 112-124.
    [93] Bell B S, Kozlowski S W J. Active learning: Effects of core training design elements on self-regulatory processes, learning, and adaptability. Journal of Applied Psychology, Mar 2008, 93:296-316.
    [94] Keith N, Frese M. Effectiveness of error management training: A meta-analysis. Journal of Applied Psychology, Jan 2008, 93:59-69.
    [95] Zhang W, Huang Y H, Roetting M, et al. Driver's views and behaviors about safety in China - what do they not know about driving? Accident Analysis and Prevention, 2006, 38:22-27.
    [96] MultiGen-Paradigm Inc. Lynx prime user's guide. 2005.
    [97]代汝泉.汽车运行性能.北京:国防工业出版社, 2003.
    [98]威鲁麦特.车辆动力学:模拟及其方法.北京:北京理工大学出版社, 1998.
    [99]晏克非.汽车行驶基本原理与性能.北京:人民交通出版社, 1997.
    [100] Fisher D L, Laurie N E, Glaser R, et al. Use of a fixed-base driving simulator to evaluate the effects of experience and pc-based risk awareness training on drivers' decisions. Human Factors, 2002, 44:287-302.
    [101] Pradhan A K, Hammel K R, DeRamus R, et al. Using eye movements to evaluate effects of driver age on risk perception in a driving simulator. Human Factors, Win 2005, 47:840-852.
    [102]Borwosky A, Shinar D, Oron-Gilad T. Age, skill, and hazard perception in driving. in the Fourth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, 2007.
    [103] Wang Y B, Zhang W, Salvendy G. Effects of a simulation-based training intervention on novice drivers' hazard handling performance. Traffic Injury Prevention, 2010, 11:16-24.
    [104] Laapotti S, Keskinen E, Rajalin S. Comparison of young male and female drivers' attitude and self-reported traffic behaviour in finland in 1978 and 2001. Journal of Safety Research, 2003, 34:579-587.
    [105]孙向红,杨帆.车辆驾驶心理负荷测量工具的测评与发展:一个现场研究的尝试.人类工效学, 2008, 14:27-31.
    [106] Hart S G, Staveland L E. Development of nasa-tlx (task load index): Results of empirical and theoretical research. in Advances in psychology: Human mental workload, Hancock P and Meshlcati N, Eds. North Holland: Elsevier Science, 1988, 139-183.
    [107] Fisher D L, Pradhan A K, Pollatsek A, et al. Empirical evaluation of hazard anticipation behaviors in the field and on driving simulator using eye tracker. Transportation Research Record, 2007:80-86.
    [108] Crundall D, Chapman P, Phelps N, et al. Eye movements and hazard perception in police pursuit and emergency response driving. Journal of Experimental Psychology-Applied, Sep 2003, 9:163-174.
    [109] Wang Y B, Zhang W, Salvendy G. A comparative study of two hazard handling training methods for novice drivers. Traffic Injury Prevention (in press), 2010.
    [110] Horswill M S, McKenna F P. Drivers’hazard perception ability: Situation awareness on the road. in A cognitive approach to situation awareness, Banbury S and Tremblay S, Eds. Aldershot, United Kingdom: Ashgate, 2004, 155-175.
    [111] Schmidt A M, Ford J K. Learing within a learner control training environment: The interactive effects of goal orientation and metacognitive instruction on learning outcomes. Personnel Psychology, 2003, 56:405-429.
    [112] Ryan R M. Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. Journal of Personality and Social Psychology, 1982, 43:450-461.
    [113] Ryan R M, Deci E L. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 2000, 55:68-78.
    [114] Ohlsson S. Learning from performance errors. Psychological Review, 1996, 103:241-262.
    [115] Wang Y B, Zhang W. A driver training platform prototype based on distributed simulation. in Proceedings of the 2008 International Conference on Cyberworlds, Hangzhou, China, 2008: 506-510.
    [116] Glendon A I, Dorn L, Davies D R, et al. Age and gender differences in perceived accident likelihood and driver competences. Risk Analysis, 1996, 16:755-762.
    [117]Monarrez-Espino J, Hasselberg M, Laflamme L. First year as a licensed car driver: Gender differences in crash experience. Safety Science, Feb 2006, 44:75-85.
    [118] Nyberg A, Gregersen N P. Practicing for and performance on drivers license tests in relation to gender differences in crash involvement among novice drivers. Journal of Safety Research, 2007, 38:71-80.
    [119] Ozkan T, Lajunen T. What causes the differences in driving between young men and women? The effects of gender roles and sex on young drivers' driving behaviour and self-assessment of skills. Transportation Research Part F-Traffic Psychology and Behaviour, Jul 2006, 9:269-277.

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