| 研究生: |
楊明勳 Yang, Ming-Hsun |
|---|---|
| 論文名稱: |
用路人駕駛習慣與性格量測指標研究:眼球追蹤器輔助量測注意力分析 Driving Habits and Personality Measurement Index: Using Eye Tracking Technology to Analyze Visual Attention |
| 指導教授: |
黃國平
Hwang, Kuo-Ping |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 交通管理科學系 Department of Transportation and Communication Management Science |
| 論文出版年: | 2019 |
| 畢業學年度: | 107 |
| 語文別: | 中文 |
| 論文頁數: | 112 |
| 中文關鍵詞: | 風險意識 、紮根理論 、典型相關分析 、駕駛習慣 、性格 、眼球追蹤器 、注意力 、主觀認知 |
| 外文關鍵詞: | Risk Awareness, Grounded Theory, Analysis of Canonical Correlation, Driving Habits, Personality, Eye Tracker, Attention, Subjective Cognition |
| 相關次數: | 點閱:91 下載:0 |
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交通事故往往是因為駕駛人的疏忽大意亦或是風險意識低落而造成,因此本研究從人為因素面著手,過去研究鮮少針對未有肇事經驗之駕駛人作探討,故先以未有肇事經驗之駕駛人做研究對象進行紮根理論之質性訪談,再輔以文獻發展出駕駛人關鍵性格及習慣問卷,並由問卷結果進行典型相關分析探討駕駛習慣與性格的關聯度,後續配合眼球追蹤器探討駕駛人對車輛、道路及環境的相互關係下之眼動行為,透過情境評估駕駛人的注意力。且進一步探討不同類型的駕駛人在設計的情境下,可以觀察到其眼動行為是否有差異。本研究的重要結論歸納如下:
1.質性研究歸納出屬於駕駛安全習慣的重要因素:(1)解讀交通環境良好能力;(2)良好風險管理能力;(3)交通法規認知正確與遵從度;(4)穩定生心理狀態;(5)良好時間管理能力;(6)駕駛高專注度。
2.駕駛習慣問項透過因素分析萃取出風險認知度、心理穩定度,並以萃取出的構面與五大性格特質做典型相關分析,結果顯示駕駛習慣與性格之間有顯著相關,其中又發現風險認知度、心理穩定度與駕駛習慣有顯著相關;五大性格特質在模式中均為顯著,關聯度由大至小依序為情緒穩定性、親切性、謹慎性、外向性、開放性。
3.不同性別中,女性會比男性更早發現到風險因子,呈現顯著差異,但女性對風險因子後續的追蹤如AOI平均凝視點個數、AOI平均注視時間(秒)比男性個數更少時間也更短,亦呈現顯著差異,可以說明女性駕駛人對動態交通環境的敏感度比男性駕駛人高,而女性駕駛人縱使可以比男性駕駛人更早發現風險因子,但對於風險因子後續並沒有留心觀察,對風險因子較不重視,平均凝視點個數則是沒有顯著差異,說明男、女性在對於動態交通環境的掃視角度沒有明顯差異。
4.本研究也以眼球運動量測指標、主觀認知二大構面間進行典型相關分析結果顯示眼球運動與主觀認知之間有顯著相關,其中發現困難性、危險性、異常性皆與主觀認知顯著相關,其中以異常性相關程度最高,眼球運動方面四個眼球運動指標皆顯著相關,相關程度由高至低為依序為AOI 平均注視時間(秒)、第一次發現AOI平均所需時間(秒)、平均凝視點個數AOI、平均凝視點個數。
關鍵詞:風險意識、紮根理論、典型相關分析、駕駛習慣、性格、眼球追蹤器、注意力、主觀認知
Traffic accidents are often caused by the driver's negligence or low Risk Awareness. Therefore, this study is based on human factors. In the past, research has rarely been conducted on drivers who have no experience in car accidents. Therefore, the research will study the drivers who have no experience in car accidents. The driver made a qualitative interview with the Ground Theory, and then developed the driver's key personality and habits questionnaire with the literature. The Analysis of Canonical Correlation of the questionnaire results explored the relationship between driving habits and personality, and subsequently the research through the eye tracker. Exploring the driver's eye movements under the relationship between the vehicle, the road and the environment, and assessing the driver's attention through the situation. Further exploration of different types of drivers in the context of design, can be observed whether there is a difference in their eye movements. The important conclusions of this study are summarized as follows:
1. Qualitative research summarizes the important factors that are driving safety habits: (1) Good Ability to Interpret the Traffic Environment; (2) Good Risk Management Ability; (3) Correctness and Compliance of Traffic Regulations; (4)Stable Psychological State (5) Good Time Management Skills; (6) High Degree of Concentration
2. The driving habits extracted the risk perception and psychological stability through factor analysis, and the Analysis of Canonical analysis between the extracted facets and the five personality traits showed that there was a significant correlation between driving habits and personality. Risk awareness and psychological stability are significantly correlated with driving habits; the five personality traits are significant in the model, and the degree of relevance from large to small is emotional stability, intimacy, cautiousness, extroversion, and openness.
3. In different genders, women will find risk factors earlier than men, showing significant differences, but women's follow-up of risk factors such as AOI average gaze points, AOI average gaze time (seconds) is less than males The time is also shorter, and there are also significant differences, which can show that female drivers are more sensitive to dynamic traffic environment than male drivers, while female drivers can find risk factors earlier than male drivers, but follow the risk factors. Without paying attention to observation, the risk factors are less valued, and the average number of gaze points is not significantly different, indicating that there is no significant difference between men and women in the perspective of dynamic traffic environment.
4. This study also use Canonical Correlation Analysis to study the degree of association between eye movement and subjective cognition. Among them, difficulty, danger and abnormality were found and subjective cognition. Significant correlation, in which the degree of abnormality correlation is the highest, and the four eye movement indexes in eye movement are significantly correlated. The correlation degree is from high to low, which is AOI average gaze time (seconds), and the first time to find the average AOI time. (seconds), the average number of gaze points AOI, and the average number of gaze points.
Key words: Risk Awareness, Grounded Theory, Analysis of Canonical Correlation, Driving Habits, Personality, Eye Tracker, Attention, Subjective Cognition
英文文獻
1.Abdu, R., Shinar, D., & Meiran, N. (2012). Situational (state) anger and driving. Transportation research part F: traffic psychology and behaviour, 15(5), 575-580.
2.Antes, J. R. (1974). The time course of picture viewing. Journal of Experimental Psychology, 103, 62-70.
3.Biernacki, P., & Waldorf, D. (1981). Snowball sampling: Problems and techniques of chain referral sampling. Sociological methods & research, 10(2), 141-163.
4.Bagozzi,R.P.,&Yi,Y. (1988).On the evaluation of structural equation models.Journal of the Academy of Marketing Science,16(1),74-94.
5.Britt, T. W., & Garrity, M. J. (2006). Attributions and personality as predictors of the road rage response. British Journal of Social Psychology, 45(1), 127-147.
6.Classen, S., Nichols, A. L., McPeek, R., & Breiner, J. F. (2011). Personality as a predictor of driving performance: An exploratory study. Transportation research part F: traffic psychology and behaviour, 14(5), 381-389.
7.Costa, P. T., & McCrea, R. R. (1992). Revised neo personality inventory (neo pi-r) and neo five-factor inventory (neo-ffi). Psychological Assessment Resources.
8.Chapman, P. R., & Underwood, G. (1998). Visual search of dynamic scenes: Event types and the role of experience in viewing driving situations. In Eye guidance in reading and scene perception (pp. 369-393).
9.Department of Biochemistry and Molecular Biophysics Thomas Jessell, Siegelbaum, S., & Hudspeth, A. J. (2000). Principles of neural science (Vol. 4, pp. 1227-1246). E. R. Kandel, J. H. Schwartz, & T. M. Jessell (Eds.). New York: McGraw-hill.
10.Dahlen, E. R., & White, R. P. (2006). The Big Five factors, sensation seeking, and driving anger in the prediction of unsafe driving. Personality and Individual Differences, 41(5), 903-915.
11.Dodge, R. (1903). Five types of eye movement in the horizontal meridian plane of the field of regard. American journal of physiology-legacy content, 8(4), 307-329.
12.Findlay, J. M., & Gilchrist, I. D. (2003). Active vision: The psychology of looking and seeing (No. 37). Oxford University Press.
13.Goldberg, J. H., & Kotval, X. P. (1999). Computer interface evaluation using eye movements: methods and constructs. International Journal of Industrial Ergonomics, 24(6), 631-645.
14.Greenwood, M., & Woods, H. M. (1919). The incidence of industrial accidents upon individuals: With special reference to multiple accidents (No. 4). HM Stationery Office [Darling and son, Limited, printers].
15.Hughes, A., Wilkens, T., Wildemuth, B. M., & Marchionini, G. (2003). Text or pictures? An eyetracking study of how people view digital video surrogates. In International Conference on Image and Video Retrieval (pp. 271-280). Springer, Berlin, Heidelberg
.
16.Hoffman, J. E., Subramaniam, B. (1995). The role of visual attention in saccadic eye movements. Perception and psychophysics, 57(6), 787¬795.
17.Hakamies-Blomqvist, L. E. (1993). Fatal accidents of older drivers. Accident Analysis & Prevention, 25(1), 19-27.
18.Jacob, R. J., & Karn, K. S. (2003). Eye tracking in human-computer interaction and usability research: Ready to deliver the promises. In The mind's eye (pp. 573-605).
19.J. A. Groeger & P. R. Chapman (1996). Applied Congnition psychology, vol.10, 349-364 .
20.Langton, S. R., Watt, R. J., & Bruce, V. (2000). Do the eyes have it? Cues to the direction of social attention. Trends in cognitive sciences, 4(2), 50-59.
21.Minichiello V., Aroni R., Timewell E. &Alexander L. (1995) In-depth Interviewing, Second Edition. South Melbourne: Longman.
22.Miura, T. (1990). Active function of eye movement and useful field of view in a realistic setting. In R. Groner, G. d'Ydewalle, & R. Parham (Eds.), Studies in visual information processing, Vol. 1. From eye to mind: Information acquisition in perception, search, and reading (pp. 119-127). Oxford, England: North-Holland.
23.Mallia, L., Lazuras, L., Violani, C., & Lucidi, F. (2015). Crash risk and aberrant driving behaviors among bus drivers: the role of personality and attitudes towards traffic safety. Accident Analysis & Prevention, 79, 145-151.
24.Nordfjærn, T., Jørgensen, S., & Rundmo, T. (2011). A cross‐cultural comparison of road traffic risk perceptions, attitudes towards traffic safety and driver behaviour. Journal of Risk Research, 14(6), 657-684.
25.Poole, A., & Ball, L. J. (2005). Eye Tracking in Human-Computer Interaction and Usability Research: Current Status and Future Prospects. Encyclopedia of Human-Computer Interaction (2005), 211–219.
26.Sanders, M. S., & McCormick, E. J. (1998). Human factors in engineering and design (p. 22). New York: McGraw-Hill.
27.Strauss, A., & Corbin, J. M. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Sage Publications, Inc.
28.Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.). Thousand Oaks, CA, US: Sage Publications, Inc.
29.Tongco, M. D. C. (2007). Purposive sampling as a tool for informant selection. Ethnobotany Research and applications, 5, 147-158.
30.Williams M. (1997) Social Surveys: Design to Analysis. In: T. May(Ed.)Social Research Issues, Methods and Process. Buckingham: Open University Press.
31.Williams, L. M., Loughland , C. M., Green, M. J., Harris, A. W. F., & Gordon, E. (2003). Emotion perception in schizophrenia: An eye movement study comparing the effectiveness of risperidone vs. haloperidol. Psychiatry Research, 120(1), 13-27.
中文文獻
1.徐宗國 (譯) (1997)。質性研究概論。台北市:巨流。(Anselm Strauss,& Juliet Corbin, 1990)。
2.胡幼慧、姚美華(1996)。質性研究-理論,方法與本土女性研究實例。臺北市:巨流。
3.潘淑滿(2003)。質性研究:理論與應用。臺北市:心理出版社。
4.吳芝儀、廖梅花(2001)。質性研究入門:紮根理論研究方法。嘉義市:濤石文化。(Anselm Strauss,& Juliet Corbin, 1998)。
5.陳勁甫(2009) 。人格特質,安全態度與危險駕駛行為之關係-以台灣年輕機車騎乘者為例。Accident Analysis and Prevention, 41, 963-968.
6.鮑雨薇(2008)。人格特質、態度、風險感認與大專生機車危險駕駛行為之關係。國立交通大學運輸科技與管理研究所碩士論文,新竹市。
7.陳學志、賴惠德、邱發忠 (2010)。眼球追蹤技術在學習與教育上的應用,教育科學研究期刊 第五十五卷第四期
。
8.蔡介立(2006)。眼球運動與閱讀歷程。眼球追蹤理論與技術研討會。台北市:國立台灣師範大學。
9.唐大崙(2006)。觀其眸子,人焉廋哉¬以眼球追蹤法探索行為背後歷程。眼球追蹤理論與技術研討會。台北市:國立台灣師範大學。
10.張新立、蔡維唐(2010)。影響小客車駕駛人駕駛技能與行為之因素研究。運輸學刊, 22(2), 233-260。
11.朱禮伶(2009)。應用駕駛模擬器探討酒後駕駛行為反應之研究.。成功大學交通管理科學系學位論文, 1-109。
12.許鉅秉(2012)。感知不確定性環境下之感知刺激-心理物理因素-跟車行為分析與模式。
13.鄭志展、李貞慶(2014)。注意力專注程度對駕駛負荷及眼動之影響。國防管理學報, 35(1), 37-48。
14.李輝、景國勳、賈智偉、段振偉(2009)。駕駛員注意力分配定量方法研究。中國安全科學學報, 19(2), 148-151。
15.郭應時(2009)。交通環境及駕駛經驗對駕駛員眼動和工作負荷影響的研究 (Doctoral dissertation, 西安: 長安大學)。
16.鄧景宜、曾旭民、李怡禛與游朝舜(2011),「“ International English Big-Five Mini-Markers" 之繁體中文版量表發展」,管理學報第 28 卷第 6 期, 579-600。
17.林震岩(2007),多變量分析-SPSS的操作與應用,智勝出版社。
18.吳萬益、林清河(2000),「企業研究方法」,華泰書局。
網頁文獻
1.Hazard Perception Test - Online Practice (2018). Retrieved October 30, 2018, from https://hazardperceptiontest.net/
2.Driver and Vehicle Standards Agency (2018). Retrieved October 30, 2018, from
https://www.gov.uk/government/organisations/driver-and-vehicle-standards-agency
3.英國政府官方網站 (2018). Retrieved October 30, 2018, from https://www.gov.uk/theory-test
4.中華民國內政部警政署全球資訊網。警政統計年報 (2018)。民107年10月30日,取自https://www.npa.gov.tw/NPAGip/wSite/np?ctNode=12896&mp=1
5.中華民國內政部警政署全球資訊網。警政統計通報 (2018)。民107年10月30日,取自https://www.npa.gov.tw/NPAGip/wSite/lp?ctNode=12594&CtUnit=1739&
BaseDSD=7&mp=1
校內:2024-07-15公開