| 研究生: |
盧麗帆 Lu, Li-Fan |
|---|---|
| 論文名稱: |
應用動態LED交通標誌與警示聲音提高銀髮族行車警覺性 Using Dynamic LED Traffic Signs along with Signal Voice to Increase the Elders' Alertness on Driving |
| 指導教授: |
賴新喜
Lai, Hish-Hsi |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 工業設計學系 Department of Industrial Design |
| 論文出版年: | 2010 |
| 畢業學年度: | 98 |
| 語文別: | 中文 |
| 論文頁數: | 115 |
| 中文關鍵詞: | LED動態標誌 、高齡者 、警覺性 |
| 外文關鍵詞: | LED dynamic signs, Elders, Alertness |
| 相關次數: | 點閱:87 下載:0 |
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隨著高齡化社會的來臨,高齡人口急速上升,這些高齡者由於視覺能力與認知機能的衰退,影響了使用產品的效率。然而,「道路交通標誌規則」行之多年,卻未因高齡化社會而予以更改,以致於行車反應力較一般人慢的高齡者在標誌的察覺上產生困難,而發生交通事故。顯見,設計師應了解高齡者身心上的需求,並遵循通用設計原則,改善現有的標誌提示形式,才能提高高齡者注意力,降低交通事故的發生。因此以人因工程方法進行交通標誌的改善與設計有其必要性。
本研究採實驗方式完成,分為前測與主要實驗部分,並以道路施工標誌做為研究對象。前測以問卷調查法探討高齡者的駕駛行為與對LED動態標誌的動態形式偏好;實驗部分以「標誌提示方式」、「行車車速」、「標誌內容」為獨立變項,而「反應時間」與「失事頻率」為相依變項,並透過flash軟體製作出虛擬行車場景,進行模擬駕駛實驗。
本研究結果發現,就車速而言,使用靜態標誌行車狀況下,反應時間依序為低速快於中速又快於高速,並在高速行駛時,失事頻率最高;在使用動態標誌時,低速與中速車速下,反應時間已無差異;而在使用動態加警示聲音標誌時,出現三速率不顯著的情形,且皆無發生失事情形。就標誌提示方式而言,大部分的結果呈現出,使用動態加聲音標誌的反應時間顯著少於使用動態標誌,又明顯少於使用靜態標誌;在高速行駛時,使用動態加聲音標誌的失事頻率顯著低於使用靜態標誌。希望透過實驗有效提升現有靜態標誌的察覺性問題,發展出適合高齡者使用之危險標誌提示方式,進而提供交通管理當局一個新的開發設計依循方向。
As the society aging, the elderly population has risen sharply. Since these elders’ visual abilities and cognitive functions have declined, it affects their efficiency in using products. However, the "rules of the road traffic sign" has been practiced for many years, and did not do any modification for the aging society. Elderly people, whose reactions in driving are slower than the average ones, have difficulties in reading traffic signs, and therefore, results in traffic accidents. Obviously, designers should understand the physical and psychological needs of the elders, following the principles of universal design to improve the existing displays of traffic signs. By doing this, the elders’ attention can be increased and the amount of traffic accidents will decline.
Therefore, it is necessary to use human factors engineering to improve and design traffic signs. Our research is done in an experimental way, divided into pre-test and the main experimental part. In addition, we aim at road construction signs as our object of study. For the Pre-test part, we use questionnaire survey method to explore the driving behavior of the elderly and the preference to dynamic LED signs dynamic forms. As for the Experimental section, we use "sign prompt way", "speed limit", and "mark content" as an independent variable, and the "response time" and "accident frequency" as the dependent variable. We also create virtual driving scenarios by flash software to make the simulation driving test.
According to the study, while using static signs, in terms of speed, drivers who are in low-speed cars need the shortest reaction time among the three groups. Divers who are in high-speed cars need more time to react than those who are in mid-speed cars. In addition, driving under high speed leads to the highest chances of having accidents. While using dynamic signs, there is no difference in reacting time between low-speed and high-speed drivers. While using dynamic signs along with signal voice at the same time, divers under three different speeds do not reveal evident differences in reacting time and none of these drivers have accidents. In terms of the sign prompt ways, most of the results show that shorter reaction time are needed for drivers when using dynamic signs along with signal voice than using dynamic signs only. While using static signs, drivers need the longest time to react among the three kinds of sign prompt ways. Moreover, the frequency of accidents in high-speed driving is apparently lower while using dynamic signs along with signal voice than using static signs.We hope that by doing this experiment, we can solve the existing problems of static signs and develop traffic signs suitable for the elders. Thus, provide the traffic management authorities with a new development design style to follow.
[1]張慧芝 (2002), 人類發展-成人心理學, 台北:桂冠圖書出版
[2]李馥如 (2004), 高齡者在小型TFT-LCD之文字視認性研究, 國立雲林科技大學 工業設計研究所碩士論文
[3]曾思瑜 (2001), 日本福祉空間筆記, 田園城市文化事業有限公司
[4]梁成章 (2004), 阿拉伯數字設計應用於LED顯示看板之視認性評估, 國立台灣科技大學設計研究所碩士論文
[5]彭耀祈 (2007), 淺談發光二極體大型顯示器技術(上), 國立高雄應用科技大學電機工程研究報告
[6]蕭淑惠 (2000), 小區域動態訊息顯示於旅遊網頁之設計因子評估研究, 東海大學統計系研究所碩士論文
[7]陳正勳 (2001), 前導式動態資訊呈現之設計對使用者視覺積效與視覺疲勞的影響, 大葉大學工業工程研究所碩士論文
[8]楊治良等編著 (2001), 記憶心理學, 五南出版
[9]鐘明鴻編譯 (2003), 創新與設計管理:提升設計管理的推行方法與實務, 台北:超越企管顧問出版
[10]林豐福 (1997), 資訊可變標誌運用於交通管理策略之研究, 交通部運輸研究所報告
[11]交通部、內政部 (2008), 道路交通標誌標線號誌設置規則, 中華民國交通部、內政部
[12]黃茗琪 (2006), 煞車燈型態及視閱角度對駕駛者視認安全性之研究, 成功大學工業設計研究所碩士論文
[13]李溱甯 (2004), 霧的視覺干擾與廣告標牌文字字體骨架結構設計對駕駛視覺辨識的影響, 台灣科技大學設計研究所碩士論文
[14]吳健生 (1999), 編訂公路交控工程設計手冊, 交通部國道新建工程局研究報告
[15]高振宇、陳澤澎 (1993), 發光二極體室外顯示幕研究, 交通部國道新建工程局報告
[16]台北市政府交通局 (1992), 資訊可變標誌規範手冊, 台北市政府
[17]吳元康、蔡慶龍 (1998), 迎接節能LED交通號誌的新世紀, 電力電子技術雙月刊,第46期,59-68頁
[18]陳澤澎、陳金源 (1993), 發光二極體室外顯示幕可信賴度研究, 交通部國道新建工程局研究報告
[19]陳竹友 (2007), 可變資訊標誌顯示策略對主線車流影響之分析, 逢甲大學交通工程與管理學系碩士在職專班碩士論文
參考網站
[1]內政部戶政司網站:http://www.ris.gov.tw/version96/stpeqr_01.html
[2]行政院經濟建設委員會網站:http://www.cepd.gov.tw/
[3]ITIS智網產業評析:http://www.itis.org.tw/
英文文獻
[1]Burns, P. (1999). Navigation and the mobility of older drivers. JOURNALS OF GERONTOLOGY SERIES B, 54, 49-55.
[2]Connelly, S., & Hasher, L. (1993). Aging and the inhibition of spatial location. JOURNAL OF EXPERIMENTAL PSYCHOLOGY HUMAN PERCEPTION AND PERFORMANCE, 19, 1238-1238.
[3]Cooper, P. (1990). Elderly drivers' views of self and driving in relation to the evidence of accident data. Journal of Safety Research, 21(3), 103-113.
[4]DeLucia, P., Kathryn Bleckley, M., Meyer, L., & Bush, J. (2003). Judgments about collision in younger and older drivers. Transportation Research Part F: Psychology and Behaviour, 6(1), 63-80.
[5]Guerrier, J., & Jolibois, S. (1998). Give elderly pedestrians more time to cross intersections.
[6]Hoyer, W., & Rybash, J. (1994). Characterizing adult cognitive development. Journal of Adult Development, 1(1), 7-12.
[7]Huaman, A., & Sharpe, J. (1993). Vertical saccades in senescence. Investigative ophthalmology & visual science, 34(8), 2588.
[8]Isler, R., Parsonson, B., & Hansson, G. (1997). Age related effects of restricted head movements on the useful field of view of drivers. Accident; analysis and prevention, 29(6), 793.
[9]Jette, A., & Branch, L. (1992). A ten-year follow-up of driving patterns among the community-dwelling elderly. Human Factors: The Journal of the Human Factors and Ergonomics Society, 34(1), 25-31.
[10]Klein, R., Wang, Q., Klein, B., Moss, S., & Meuer, S. (1995). The relationship of age-related maculopathy, cataract, and glaucoma to visual acuity. Investigative ophthalmology & visual science, 36(1), 182.
[11]Kline, D., Kline, T., Fozard, J., Kosnik, W., Schieber, F., & Sekuler, R. (1992). Vision, aging, and driving: The problems of older drivers. The Journal of Gerontology, 47(1), P27.
[12]Kline, D., & Scialfa, C. (1996). Visual and auditory aging. Handbook of the psychology of aging, 4.
[13]Korteling, J. (1990). Perception-response speed and driving capabilities of brain-damaged and older drivers. Human Factors: The Journal of the Human Factors and Ergonomics Society, 32(1), 95-108.
[14]Kosnik, W., Sekuler, R., & Kline, D. (1990). Self-reported visual problems of older drivers. Human Factors: The Journal of the Human Factors and Ergonomics Society, 32(5), 597-608.
[15]Kotary, L., & Hoyer, W. (1995). Age and the ability to inhibit distractor information in visual selective attention. Experimental Aging Research, 21(2), 159-172.
[16]McKnight, A., & McKnight, A. (1999). Multivariate analysis of age-related driver ability and performance deficits. Accident Analysis & Prevention, 31(5), 445-454.
[17]McPhee, L., Scialfa, C., Dennis, W., Ho, G., & Caird, J. (2004). Age differences in visual search for traffic signs during a simulated conversation. Human factors, 46(4), 674.
[18]Owsley, C., Stalvey, B., Wells, J., & Sloane, M. (1999). Older drivers and cataract: driving habits and crash risk. Journals of Gerontology Series A: Biological and Medical Sciences, 54(4), 203.
[19]Park, D., Smith, A., Lautenschlager, G., Earles, J., Frieske, D., Zwahr, M., et al. (1996). Mediators of long-term memory performance across the life span. Psychology and Aging, 11, 621-637.
[20]Rogers, W. (2000). Attention and aging. Cognitive aging: A primer, 57-73.
[21]Roring, R., Hines, F., & Charness, N. (2006). Age-related identification of emotions at different image sizes. Human factors, 48(4), 675.
[22]Ryan, G., Legge, M., & Rosman, D. (1998). Age related changes in drivers' crash risk and crash type. Accident Analysis and Prevention, 30(3), 379-388.
[23]Ryckel, A. (2007). A Primer on LED Technology for Large-Display-Based Applications. Information Display, 23(3), 14-19.
[24]Salthouse, T. (1992). Reasoning and spatial abilities. The handbook of aging and cognition, 167–211.
[25]Salthouse, T. (1994). The aging of working memory. NEUROPSYCHOLOGY-NEW YORK-, 8, 535-535.
[26]Stamatiadis, N., & Deacon, J. (1995). Trends in highway safety: effects of an aging population on accident propensity. Accident; analysis and prevention, 27(4), 443.
[27]Stuart-Hamilton, I. (2006). The psychology of ageing: an introduction: Jessica Kingsley Pub.
[28]Stutts, J., Stewart, J., & Martell, C. (1998). Cognitive test performance and crash risk in an older driver population. Accident; analysis and prevention, 30(3), 337.
[29]Szlyk, J., Seiple, W., & Viana, M. (1995). Relative Effects of Age and Compromised Vision in Driving Performance. Human factors, 37(2).
[30]Uchida, N., Fujita, K., & Katayama, T. (1999). Detection of vehicles on the other crossing path at an intersection: visual search performance of elderly drivers. JSAE Review, 20(3), 381-386.
[31]van Wolffelaar, P., Rotthengatter, J., & Brouwer, W. (1991). Elderly drivers' traffic merging decisions. Vision in vehicles III, 247-255.
[32]Vercruyssen, M. (1997). Movement control and speed of behavior. Handbook of human factors and the older adult, 55–86.
[33]Williams, A., & Carsten, O. (1989). Driver age and crash involvement. American Journal of Public Health, 79(3), 326.
[34]Wood, J. (1999). How do visual status and age impact on driving performance as measured on a closed circuit driving track? Ophthalmic and Physiological Optics, 19(1), 34-40.
校內:2012-07-21公開