| 研究生: |
張晉毓 Chang, Chin-Yu |
|---|---|
| 論文名稱: |
臺灣機車騎士道路環境偵測評量之心理計量檢驗 Psychometric testing of road environment detection assessment in Taiwanese scooter riders |
| 指導教授: |
馬慧英
Ma, Hui-Ing 徐秀雲 Hsu, Hsiu-Yun |
| 學位類別: |
碩士 Master |
| 系所名稱: |
醫學院 - 職能治療學系 Department of Occupational Therapy |
| 論文出版年: | 2026 |
| 畢業學年度: | 114 |
| 語文別: | 中文 |
| 論文頁數: | 99 |
| 中文關鍵詞: | 信度測驗 、機車 、影片測驗 、高齡者 、東亞 |
| 外文關鍵詞: | validation study, motorcycle, video-based assessment, older adults, Eastern Asia |
| 相關次數: | 點閱:71 下載:1 |
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機車是臺灣人的主要運具,機車騎士是臺灣成年用路人中死傷人數最高的族群。臺灣的道路環境、機車騎士的知識技能及態度,以及騎士的個人能力層面皆可能影響到騎士的騎乘安全。在個人層面中,高齡者的注意力及情境覺察能力可能受到老化、認知功能障礙而衰退,影響其對於複雜道路情境的偵測能力,但目前尚無具良好心理計量的工具可針對此功能進行客觀評量。因此本研究目的為發展臺灣機車騎士道路資訊偵測評量,並檢驗其信效度。
臺灣機車騎士道路環境偵測評量使用機車騎士於路口轉彎之短影片,請受測者在觀看影片過程中,以第一人稱視角,同時說出影響騎乘安全或行為適切性之環境資訊,影片結束後,提供紙本選項進行選取確認,最後詢問受測者是否認為影片中之騎士轉彎行為適宜。測驗結果為環境重要物體之偵測率及行為判斷正確率。
本研究首先針對影片內容及計分項目,進行專家效度評量。研究邀集三位來自交通運輸管理、交通警政、醫藥衛生相關背景專家,確認題項具充足代表性,最終本評量包括四部練習影片與十部正式測驗影片。
研究第二階段進行信效度及研究概念模型的檢驗。本研究共招募56位機車騎士,中年(35至50歲)與高齡騎士(75歲以上)各半。為理解工具時序穩定性,56名受測者於兩到四週後接受第二次影片測驗,測量物體偵測率及判斷正確率的再測信度。施測者內信度使用全部受測者由單一施測者之現場及錄影事後物體偵測率進行檢驗,施測者間信度由三位計分者使用錄影畫面之事後評分進行檢驗。三種信度使用組內相關係數 (Intraclass correlation coefficient, ICC) 進行統計檢驗。已知族群效度使用兩組之物體偵測率及判斷正確率進行獨立t檢定分析,檢視工具是否能區辨族群差異。聚合效度使用路徑描繪測驗B部分完成時間,與環境偵測率進行皮爾森相關係數統計分析。最後,使用相關係數及迴歸分析檢驗研究概念架構,分別了解環境偵測及判斷能力的預測因子。
研究結果呈現本工具具中等再測信度,物體偵測率ICC = .74;判斷正確率ICC = .80,物體偵測率之施測者內信度極優 (ICC = .99),施測者間信度極佳,物體偵測率及行為判斷正確率ICC皆為.95。已知族群效度支持本工具能夠區辨不同年齡層騎士之物體偵測與行為判斷正確率,中年騎士物體偵測率 (t = 4.10, p < .001) 及判斷正確率 (Z = -4.56, p < .001) 表現皆顯著優於高齡騎士。物體偵測率與路徑描繪測驗B部分完成時間呈現可接受的聚合效度 (ρ = - .58)。研究概念架構之檢驗發現中年騎士之物體偵測率與語言表達能力、視覺掃描速度顯著正相關,兩因子共解釋51.8%之模型變異量。行為判斷正確率與交通法規知識、分散性注意力具顯著正相關,兩因子共解釋53.2%之模型變異量;高齡騎士物體偵測率與分散性注意力、性別為女性顯著正相關,兩因子共解釋40.5%之模型變異量。高齡騎士之行為判斷正確率僅與教育程度趨近顯著相關,教育程度高者判斷正確率較高 (Z = -2.00, p =.05)。
本研究發現機車騎士可能對於道路環境偵測評量之測驗具記憶或學習效應,推測受測者可能在經過測驗後,能將辨識環境重要物體之技巧應用於日常生活中,此推論需再進行後續探究。中年與高齡騎士之道路環境偵測表現有顯著差異,符合研究預期;然而中年騎士對判斷行為是否正確之比例未達五成,高齡騎士更僅略高於二成,表示本影片測驗具備相當困難度,或是騎士觀察環境並整合道路法規知識之能力有待加強。與中年、高齡騎士之物體偵測及判斷正確率相關之人口統計學、身體功能、道路法規知識因子有所差異,建議未來針對不同年齡層之騎士進行道路情境觀察或適宜騎乘行為訓練或教學時,需進行教材、教法之適性調整,考量本研究發現之相關因子 (如掃描速度、分散性注意力、道路法規知識),降低學習障礙(如教育程度),並注重性別差異的影響。
本次發展的研究工具為第一個臺灣本土針對機車騎士道路環境觀察能力的工具,具有可接受的信效度表現。未來建議可與騎士真實上路的表現結果進行比較,了解其預測效度,並可進行眼球動作追蹤研究,深入探討騎士視覺掃描模式與實際物品感知之異同。
This study developed and validated the Road Environment Detection Assessment (REDA) for Taiwanese motorcyclists, addressing the lack of localized perceptual assessment tools in East Asian contexts. Using 10 short videos, REDA evaluates target detection ability and judgment of behavior appropriateness. Middle-aged and older motorcyclists (n = 28 per group) completed REDA twice at a 2–4-week interval, with initial performances independently rated by three assessors. Reliability (intraclass correlation coefficients, ICC), convergent validity (Spearman's ρ with Trail Making Test–Part B [TMT-B]), known-groups validity (independent t-tests), and associated factors (regression analyses) were evaluated.
REDA demonstrated moderate-to-good test-retest reliability (ICC = .74–.80), excellent inter-rater (ICC = .95), and intra-rater reliability (ICC = .99). Convergent validity was supported by an acceptable correlation with TMT-B (ρ = -.58). REDA had adequate known-groups validity to discriminate motorcyclists’ target detection ability and judgement of behavioral appropriateness in different age groups. Target detection performance was significantly associated with language expression ability and scanning speed among middle-aged motorcyclists (R² = 51.8%); with gender and alternating attention errors older motorcyclists (R² = 40.5%). Judgment of behavioral appropriateness was predicted by knowledge of road rules and alternating attention errors in middle-aged motorcyclists (R² = 53.2%), but only by educational attainment in older motorcyclists.
In conclusion, REDA is a reliable and valid tool for evaluating motorcyclists' road target detection and judgement of riders’ behavior appropriateness in East Asian traffic environments. Future research is recommended to validate REDA against on-road performance and eye-tracking data.
中華民國交通部(2024年7月13日)。機動車輛登記數。交通部公路總局統計查詢網。https://stat.motc.gov.tw/mocdb/stmain.jsp?sys=100&funid=a3301
中華民國交通部公路局(2023年8月31日)。高齡駕駛人駕駛執照管理制度說明。中華民國交通部公路局。https://www.thb.gov.tw/cp.aspx?n=169
中華民國交通部公路局(2024年5月14日)。機車駕訓補助說明。中華民國交通部公路局。https://www.thb.gov.tw/cp.aspx?n=229
內政部戶政司(2023年8月24日)。年底人口數按性別及五歲年齡組分。內政部戶政司全球資訊網。https://www.ris.gov.tw/app/portal/346
成大研究發展基金會(2018年11月)。嘉義市限制性道路檢討評估報告。嘉義市政府。
行政院(2024年3月7日)。政院通過「行人交通安全設施條例」草案建立「以人為本」安全用路環境、加速達成道路交通事故零死亡願景。行政院國家永續發展委員會。https://ncsd.ndc.gov.tw/Fore/News_detail/5862f160-ccb3-416f-82bb-42f75bffcbc6
交通部公路總局(2024年7月27日)。領有駕駛執照人數。交通部公路總局統計查詢網。https://stat.motc.gov.tw/mocdb/stmain.jsp?sys=100
交通部公路總局臺中區監理所(2022年8月12日)。考照70回顧歷史。交通部公路總局臺中區監理所。https://tmv.thb.gov.tw/News_Download.aspx?n=2394&sms=13295
交通部統計處(2023年4月)。111 年民眾日常使用運具狀況調查摘要分析。中華民國交通部全球資訊網。https://www.motc.gov.tw/ch/app/data/view?module=survey&id=56&serno=202304280009
交通部道路交通安全督導委員會(2013年12月4日)。認識視野、視野死角與內輪差。交通安全入口網。https://168.motc.gov.tw/theme/teach/post/1906121100621
交通部道路交通安全督導委員會(2024年7月27日)。111年全國件數前十大運具統計。道安資訊查詢網。https://roadsafety.tw/
交通部運輸研究所(2015年12月)。機車危險感知學習工具開發與應用(1/2)期末報告修正定稿(MOTC-IOT-104-SEB003)。https://www.grb.gov.tw/search/planDetail?id=11402192
林茂榮(2014年10月8日)。老年駕駛者之機動車傷害與不安全駕駛篩檢工具(NSC 102-2314-B-038-033-)。臺北醫學大學傷害防治學研究所。
袁璐一、常若松、马锦飞(2021)。驾驶员选择性注意过程中的规则图式启动效应。心理学报,53(12), 1310-1320. https://doi.org/10.3724/SP.J.1041.2021.01310
道路交通安全規則 (2024年09月30日)修正公布。 https://law.moj.gov.tw/LawClass/LawAll.aspx?pcode=K0040013
道路交通標誌標線號誌設置規則 (2024年10月22日)修正公布。 https://law.moj.gov.tw/LawClass/LawAll.aspx?pcode=K0040014
American Occupational Therapy Association. (2020). Occupational therapy practice framework: Domain and process (4th ed.). American Journal of Occupational Therapy, 74(Suppl. 2), 7412410010. https://doi.org/10.5014/ajot.2020.74S200
Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45(1), 131-142. https://doi.org/10.1177/0013164485451012
Akple, M. S., Sogbe, E., & Atombo, C. (2020). Evaluation of road traffic signs, markings and traffic rules compliance among drivers’ in Ghana. Case Studies on Transport Policy, 8(4), 1295-1306. https://doi.org/10.1016/j.cstp.2020.09.001
Arbuthnott, K., & Frank, J. (2000). Trail making test, part B as a measure of executive control: validation using a set-switching paradigm. Journal of Clinical and Experimental Neuropsychology, 22(4), 518-528. http://dx.doi.org/10.1076/1380-3395(200008)22:4;1-0;FT518
Beanland, V., Filtness, A. J., & Jeans, R. (2017a). Change detection in urban and rural driving scenes: Effects of target type and safety relevance on change blindness. Accident Analysis & Prevention, 100, 111-122. http://dx.doi.org/10.1016/j.aap.2017.01.011
Beanland, V., & Hansen, L. J. (2017). Do cyclists make better drivers? Associations between cycling experience and change detection in road scenes. Accident Analysis & Prevention, 106, 420-427. http://dx.doi.org/10.1016/j.aap.2017.07.013
Beanland, V., Lenné, M. G., & Röβger, L. (2017b). Psychological factors in seeing motorcycles. In L. Röβger, M. G. Lenné, & G. Underwood (Ed.), Increasing motorcycle conspicuity: Design and assessment of interventions to enhance rider safety (pp. 21-50). CRC press.
Bowie, C. R., & Harvey, P. D. (2006). Administration and interpretation of the Trail Making Test. Nature Protocols, 1(5), 2277-2281. https://doi.org/10.1038/nprot.2006.390
Brown, L., Morris, A., Thomas, P., Ekambaram, K., Margaritis, D., Davidse, R., Usami., D. S., Robibaro, M., Persia, L., Buttler, I., Ziakopoulos, A., Theofilatos, A., Yannis, G., Martin, A., & Wadji, F. (2021). Investigation of accidents involving powered two wheelers and bicycles–A European in-depth study. Journal of Safety Research, 76, 135-145. https://doi.org/10.1016/j.jsr.2020.12.015
Caird, J. K., Edwards, C. J., Creaser, J. I., & Horrey, W. J. (2005). Older driver failures of attention at intersections: Using change blindness methods to assess turn decision accuracy. Human Factors, 47(2), 235-249. https://doi.org/10.1518/0018720054679542
Carlson, K. D., & Herdman, A. O. (2012). Understanding the impact of convergent validity on research results. Organizational Research Methods, 15(1), 17-32. https://doi.org/10.1177/1094428110392383
Chan, R. C., Shum, D., Toulopoulou, T., & Chen, E. Y. (2008). Assessment of executive functions: Review of instruments and identification of critical issues. Archives of Clinical Neuropsychology, 23(2), 201-216. https://doi.org/10.1016/j.acn.2007.08.010
Choi, S. Y., Lee, J. S., & Song, A. (2014). Cognitive test to forecast unsafe driving in older drivers: meta-analysis. NeuroRehabilitation, 35(4), 771-778. https://doi.org/10.3233/NRE-141170
Cohen, J. (2013). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Costa, M., Simone, A., Vignali, V., Lantieri, C., Bucchi, A., & Dondi, G. (2014). Looking behavior for vertical road signs. Transportation Research Part F: Traffic Psychology and Behaviour, 23, 147-155. http://dx.doi.org/10.1016/j.trf.2014.01.003
Di Stefano, M., & Macdonald, W. (2005). On-road driver evaluation and training. In J. M. Pellerito (Ed.), Driver rehabilitation and community mobility: Principles and practice (pp. 255-295). Mosby.
Dobbs, B. M., & Shergill, S. S. (2013). How effective is the Trail Making Test (Parts A and B) in identifying cognitively impaired drivers?. Age and Ageing, 42(5), 577-581. https://doi.org/10.1093/ageing/aft073
Endsley, M. R. (1995). Toward a theory of situation awareness in dynamic systems. Human Factors Journal 37(1), 32-64. https://doi.org/10.1518/001872095779049543
Fraade‐Blanar, L. A., Ebel, B. E., Larson, E. B., Sears, J. M., Thompson, H. J., Chan, K. C. G., & Crane, P. K. (2018). Cognitive decline and older driver crash risk. Journal of the American Geriatrics Society, 66(6), 1075-1081. https://doi.org/10.1111/jgs.15378
Gregersen, N. P. (1994). Systematic cooperation between driving schools and parents in driver education, an experiment. Accident Analysis & Prevention, 26(4), 453-461. https://doi.org/10.1016/0001-4575(94)90036-1
Hardgrave, N., Hatley, J., & Lewerenz, D. (2012). Comparing LEA numbers low vision book and Feinbloom visual acuity charts. Optometry and Vision Science, 89(11), 1611-1618. https://doi.org/10.1097/OPX.0b013e31826ab10a
Harms, I. M., & Brookhuis, K. A. (2014). Traffic managed? Why not all drivers can adhere to changes in speed limit signals over the road [Paper presentation]. 28th International Conference of Applied Psychology, Paris, France.
Harms, I. M., & Brookhuis, K. A. (2017). Traffic management: assessing various countermeasures to improve detection failure of changes in speed limit signals. Applied Ergonomics, 61, 44-52. https://doi.org/10.1016/j.apergo.2016.12.005
Hollis, A. M., Duncanson, H., Kapust, L. R., Xi, P. M., & O'Connor, M. G. (2015). Validity of the Mini‐Mental State Examination and the Montreal cognitive assessment in the prediction of driving test outcome. Journal of the American Geriatrics Society, 63(5), 988-992. https://doi.org/10.1111/jgs.13384
Horswill, M. S., Marrington, S. A., McCullough, C. M., Wood, J., Pachana, N. A., McWilliam, J., & Raikos, M. K. (2008). The hazard perception ability of older drivers. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 63(4), P212-P218. https://doi.org/10.1093/geronb/63.4.P212
Isler, R. B., & Starkey, N. J. (2008). The ‘frontal lobe’ project: A double-blind, randomized controlled study of the effectiveness of higher level driving skills training to improve frontal lobe (executive) function related driving performance in young drivers. Traffic and Road Safety Research Group, Psychology Department, University of Waikato. https://researchcommons.waikato.ac.nz/entities/publication/fe275576-230d-4889-a09f-bd58558f9680
Isler, R. B., Starkey, N. J., & Williamson, A. R. (2009). Video-based road commentary training improves hazard perception of young drivers in a dual task. Accident Analysis & Prevention, 41(3), 445-452. https://doi.org/10.1016/j.aap.2008.12.016
Kandasamy, D., Williamson, K., Carr, D. B., Abbott, D., & Betz, M. E. (2019). The utility of the Montreal Cognitive Assessment in predicting need for fitness to drive evaluations in older adults. Journal of Transport & Health, 13, 19-25. https://doi.org/10.1016/j.jth.2019.03.005
Katrahmani, A., Romoser, M., & Samuel, S. (2016, September 15). Investigating a non-invasive method of measuring the quality of latent hazard schemas of novice teen and experienced adult drivers: A new perspective using traditional tools [Paper presentation]. Proceedings of the human factors and ergonomics society annual meeting, Los Angeles, CA, United States. https://doi.org/10.1177/1541931213601163
Klein, R., & Klein, B. E. (2013). The prevalence of age-related eye diseases and visual impairment in aging: current estimates. Investigative Ophthalmology & Visual Science, 54(14), ORSF5-ORSF13. https://doi.org/10.1167/iovs.13-12789
Kondyli, V., & Bhatt, M. (2022, October 19-20). Analysing driver (in) attentiveness: Towards a cognitive complexity model combining visuospatial and interactional parameters [Paper presentation]. 8th International Conference on Driver Distraction and Inattention (DDI 2022), Gothenburg, Sweden. http://oru.diva-portal.org/smash/get/diva2:1686343/FULLTEXT01.pdf
Kondyli, V., Bhatt, M., Levin, D., & Suchan, J. (2023). How do drivers mitigate the effects of naturalistic visual complexity? On attentional strategies and their implications under a change blindness protocol. Cognitive Research: Principles and Implications, 8(1), 54. https://doi.org/10.1186/s41235-023-00501-1
Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155-163. https://doi.org/10.1016/j.jcm.2016.02.012
Korner-Bitensky, N., Gélinas, I., Man-Son-Hing, M., Marshall, S. (2005). Recommendations of the Canadian consensus conference on driving evaluation in older drivers. The Haworth Press. https://doi.org/10.1300/J148v23n02_08
Krathwohl, D. R. (2002). A revision of Bloom's taxonomy: An overview. Theory into Practice, 41(4), 212-218. https://doi.org/10.1207/s15430421tip4104_2
Law, M., Cooper, B., Strong, S., Stewart, D., Rigby, P., & Letts, L. (1996). The person-environment-occupation model: A transactive approach to occupational performance. Canadian Journal of Occupational Therapy, 63(1), 9-23. https://doi.org/10.1177/000841749606300103
LEA-test (2018, February 21). LEA numbers 15-Line Distance Chart. LEA-test. http://www.lea-test.fi/index.html?start=en/vistests/instruct/2711/index.html
Lees, M. N., Sparks, J., Lee, J. D., & Rizzo, M. (2007, July 9-12) Change Blindness, attention, and driving performance [conference presentation]. 4th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Washington, United States. https://doi.org/10.17077/drivingassessment.1211
Martens, M. H. (2011). Change detection in traffic: where do we look and what do we perceive?. Transportation Research Part F: Traffic Psychology and Behaviour, 14(3), 240-250. https://doi.org/10.1016/j.trf.2011.01.004
Molnar, F. J., Byszewski, A. M., Rapoport, M., & Dalziel, W. B. (2009). Practical experience-based approaches to assessing fitness to drive in dementia. Geriatric & Aging, 12(2), 83-92.
Murman D. L. (2015). The Impact of Age on Cognition. Seminars in Hearing, 36(3), 111-121. https://doi.org/10.1055/s-0035-1555115
Nartker, M., Firestone, C., Egeth, H., & Phillips, I. (2023). Six ways of failing to see (and why the differences matter). i-Perception, 14(5), 20416695231198762. https://doi.org/10.1177/20416695231198762
Owsley, C., Ball, K., McGwin Jr, G., Sloane, M. E., Roenker, D. L., White, M. F., & Overley, E. T. (1998). Visual processing impairment and risk of motor vehicle crash among older adults. Jama, 279(14), 1083-1088. https://doi.org/10.1001/jama.279.14.1083
Owsley, C., Stalvey, B. T., Wells, J., Sloane, M. E., & McGwin, G. (2001). Visual risk factors for crash involvement in older drivers with cataract. Archives of Ophthalmology, 119(6), 881-887. https://doi.org/10.1001/archopht.119.6.881
Quintana, L. A. (2008). Assessing abilities and capacities: Vision, visual perception, and praxis. In M. V. Radomski & C. A. T. Latham (6th ed.), Occupational therapy for physical dysfunction (pp. 234-259). Lippincott Williams & Wilkins.
Ranney, T. A. (1994). Models of driving behavior: a review of their evolution. Accident Analysis & Prevention, 26(6), 733-750. https://doi.org/10.1016/0001-4575(94)90051-5
Rasmussen, J. (1987). Mental models and the control of actions in complex environments. Risø National Laboratory
Rizzo, M., Sparks, J., McEvoy, S., Viamonte, S., Kellison, I., & Vecera, S. P. (2009). Change blindness, aging, and cognition. Journal of Clinical and Experimental Neuropsychology, 31(2), 245-256. https://doi.org/10.1080/13803390802279668
Robbins, C. J., Allen, H. A., Miller, K. A., & Chapman, P. (2019). The ‘Saw but Forgot’error: A role for short-term memory failures in understanding junction crashes?. PLoS One, 14(9), e0222905. https://doi.org/10.1371/journal.pone.0222905
Ross, C. E., & Mirowsky, J. (1984). Socially-desirable response and acquiescence in a cross-cultural survey of mental health. Journal of Health and Social Behavior, 189-197. https://doi.org/10.2307/2136668
Ryan, G. A., Legge, M., & Rosman, D. (1998). Age related changes in drivers' crash risk and crash type. Accident Analysis & Prevention, 30(3), 379-387. https://doi.org/10.1016/S0001-4575(97)00098-5
Saryazdi, R., Bak, K., & Campos, J. L. (2019). Inattentional blindness during driving in younger and older adults. Frontiers in Psychology, 10, 880. https://doi.org/10.3389/fpsyg.2019.00880
Smith, B. L., & Murdock, D. K. (1986). Commentary Driving Applied to Safety Evaluation of Low-Volume Rural Roads: Training and Use. Transportation Research Record, 1055, 34-44.
Swan, G., Xu, J., Baliutaviciute, V., & Bowers, A. (2022). Change blindness in simulated driving in individuals with homonymous visual field loss. Cognitive Research: Principles and Implications, 7(1), 44. https://doi.org/10.1186/s41235-022-00394-6
Tsai, C. F., Lee, W. J., Wang, S. J., Shia, B. C., Nasreddine, Z., & Fuh, J. L. (2012). Psychometrics of the Montreal Cognitive Assessment (MoCA) and its subscales: Validation of the Taiwanese version of the MoCA and an item response theory analysis. International Psychogeriatrics, 24(4), 651-658. https://doi.org/10.1017/S1041610211002298
Tsai, J. C., Chen, C. W., Chu, H., Yang, H. L., Chung, M. H., Liao, Y. M., & Chou, K. R. (2016). Comparing the sensitivity, specificity, and predictive values of the Montreal Cognitive Assessment and Mini-Mental State Examination when screening people for mild cognitive impairment and dementia in Chinese population. Archives of Psychiatric Nursing, 30(4), 486-491. http://dx.doi.org/10.1016/j.apnu.2016.01.015
Uc, E. Y., Rizzo, M., Anderson, S. W., Shi, Q., & Dawson, J. D. (2005). Driver landmark and traffic sign identification in early Alzheimer’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 76(6), 764-768. https://doi.org/10.1136/jnnp.2004.049338
Wang, R. Y., Zhou, J. H., Huang, Y. C., & Yang, Y. R. (2018). Reliability of the Chinese version of the trail making test and Stroop color and word test among older adults. International Journal of Gerontology, 12(4), 336-339. https://doi.org/10.1016/j.ijge.2018.06.003
Wickens, C. D. (2008). Multiple resources and mental workload. Human Factors, 50(3), 449-455. https://doi.org/10.1518/001872008X288394
Wolfe, J. M., Kosovicheva, A., & Wolfe, B. (2022). Normal blindness: when we look but fail to see. Trends in Cognitive Sciences, 26(9), 809-819. https://doi.org/10.1016/j.tics.2022.06.006
Zou, G. (2012). Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in Medicine, 31(29), 3972-3981.