多項研究皆顯示出行人在行進間使用手機可能造成的安全危害，但相關數據指出，仍有許多用路人未意識到此行為的危險性，因此本研究希望藉由實驗性研究來了解行人的注意力資源分配情況，並提供更加符合真實情況的數據供未來有助降低行人安全之相關研究與人機設計作為參考。
本研究主要目的在於探討行人於行進間執行手機相關並發任務時，對行人之注意力分配策略、情境察覺程度及相關腦區活化模式是否有影響。實驗共招募30名受試者，使受試者在跑步機上行走，並同時執行手機任務及多序列路況偵測任務。實驗共有兩種手機任務，及三種多序列路況偵測任務，共6種不同的雙重任務模擬情境，模擬行人在不同路況反應策略下執行不同形式手機任務的情況。希望藉由分析實驗中蒐集到的偵測路況績效、手機任務績效、眼動資料、主觀心智負荷量與腦區NIRS反應，來了解行進中使用手機與否、手機執行任務類型、路況複雜度對行人危害程度影響的差異與特徵。
　　研究發現，行進中使用手機會降低對周遭路況環境的注意力、減少抬頭觀察路況的次數、減少左右轉頭查看路況的次數，使得情境察覺能力降低、路況反應能力變差。行進中打字比起閱讀，對行人的路況反應能力會產生更大的負面影響，並反應在Fp1和Fp2更高的ΔO2Hb。路況任務複雜度的提高會反應在心智負荷量的結果上。不同的手機雙重任務情況會使受試者有不同的視覺分配策略。
　　因此本研究強烈建議行人不宜邊走路邊使用手機，尤其是打字。我們應更加重視行人使用手機可能造成的公共安全問題，並基於過去相關研究結果設計改善對策。

The main purpose of this study is to investigate how pedestrians' visual attention, situational awareness and activation patterns of related brain regions are affected when performing dual-tasks related to smart phones while walking. A total of 30 subjects were recruited for the experiment. They were required to walk on the treadmill and perform the smart phone task and the road events detection task simultaneously. There are two kinds of mobile phone tasks, typing and word searching tasks, and three complexity levels of road events detection tasks in the experiment (i.e. 6 different dual-tasks scenarios). Participants’ performances on phone tasks and road events detection tasks, eye movement data, NASA-TLX score, and NIRS data were collected during the experiment and further examined and analyzed.
The results showed that using smart phone while walking reduce pedestrians’ visual attention to the environments, resulting in the decline of situation awareness and prolonging the reaction time to the road events. In addition, this study found that typing tasks lowered pedestrians' ability to react to road events more and reflected higher ∆O2Hb in Fp1 and Fp2 brain region than word searching task. Furthermore, increasing the complexity of road events detection tasks led to higher NASA-TLX score. Moreover, during different dual-task situations, participants displayed different visual attention strategies. Therefore, this study suggest that pedestrians should not use smart phones while walking, especially with tasks that require high cognitive resources such as typing. Public safety problems caused by smart phones usages should be given more attention with relevant countermeasures implemented based on past research.

交通部, 2021. 道路交通標誌標線號誌設置規則.
交通部, 2012. 交通工程手冊.
國家發展委員會, 2019. 108 年持有手機民眾數位機會調查報告.
劉立文, 2017. 我國勞工人體計測調查研究. 勞動部.
Aaslund, M.K., Helbostad, J.L. & Moe-Nilssen, R., 2011. Familiarisation to Body Weight Supported Treadmill Training for Patients Post-Stroke. Gait & posture, 34（4）, 467-472.
Administration, F.H., 2009. Highway Traffic Signals. Manual on Uniform Traffic Control Devices for Streets and Highways. U.S. Department of Transportation, 433-528.
Arthur, K.W. & Brooks Jr, F.P., 2000. Effects of Field of View on Performance with Head-Mounted Displays. University of North Carolina at Chapel Hill.
Barnard, L., Yi, J.S., Jacko, J.A. & Sears, A., 2005. An Empirical Comparison of Use-in-Motion Evaluation Scenarios for Mobile Computing Devices. International Journal of Human-Computer Studies, 62（4）, 487-520.
Beurskens, R., Helmich, I., Rein, R. & Bock, O., 2014. Age-Related Changes in Prefrontal Activity During Walking in Dual-Task Situations: A Fnirs Study. International Journal of Psychophysiology, 92（3）, 122-8.
Binkley, J.M., Stratford, P.W., Lott, S.A. & Riddle, D.L., 1999. The Lower Extremity Functional Scale（Lefs）: Scale Development, Measurement Properties, and Clinical Application. North American Orthopaedic Rehabilitation Research Network. Physical Therapy, 79（4）, 371-83.
Borg, G., 1982. A Category Scale with Ratio Properties for Intermodal and Interindividual Comparisons: North-Holland Publishing Company.
Byington, K.W. & Schwebel, D.C., 2013. Effects of Mobile Internet Use on College Student Pedestrian Injury Risk. Accident Analysis and Prevention, 51, 78-83.
Chen, P.L., Saleh, W. & Pai, C.W., 2017. Texting and Walking: A Controlled Field Study of Crossing Behaviours and Inattentional Blindness in Taiwan. Behaviour and Information Technology, 36（4）, 435-445.
Chen, S.H., Lo, O.Y., Kay, T. & Chou, L.S., 2018. Concurrent Phone Texting Alters Crossing Behavior and Induces Gait Imbalance During Obstacle Crossing. Gait and Posture, 62, 422-425.
Courtemanche, F., Labonte-Lemoyne, E., Leger, P.M., Fredette, M., Senecal, S., Cameron, A.F., Faubert, J. & Bellavance, F., 2019. Texting While Walking: An Expensive Switch Cost. Accident Analysis and Prevention, 127, 1-8.
Diamond, A., 2013. Executive Functions. Annual Review of Psychology, 64（1）, 135-168.
Duchowski, A., 2007. Eye Tracking Methodology: Theory and Practice: Springer.
Durso, F.T., Hackworth, C.A., Truitt, T.R., Crutchfield, J., Nikolic, D. & Manning, C.A., 1998. Situation Awareness as a Predictor of Performance for En Route Air Traffic Controllers. Air Traffic Control Quarterly, 6（1）, 1-20.
Endsley, M.R. 1987. Situation Awareness Global Assessment Technique（Sagat）. Paper presented at the Aerospace and Electronics Conference, Dayton, OH.
Endsley, M.R. 1988. Design and Evaluation for Situation Awareness Enhancement. Paper presented at the Proceedings of the Human Factors Society annual meeting.
Endsley, M.R., 1995a. Measurement of Situation Awareness in Dynamic-Systems. Human Factors, 37（1）, 65-84.
Endsley, M.R., 1995b. Toward a Theory of Situation Awareness in Dynamic-Systems. Human Factors, 37（1）, 32-64.
Endsley, M.R., Bolte, B. & Jones, D.G., 2003. Designing for Situation Awareness: An Approach to User-Centered Design: Taylor & Francis.
Endsley, M.R. & Jones, D.G., 2012. Sa Demons: The Enemies of Situation Awareness. In Endsley, M.R. & Jones, D.G. eds. Designing for Situation Awareness: An Approach to User-Centered Design（2nd Ed）. CRC Press.
Endsley, M.R. & Rodgers, M.D. 1994. Situation Awareness Information Requirements Analysis for En Route Air Traffic Control. U.S. Department of Transportation; Federal Aviation Administration.
Erkan, I., 2017. Cognitive Analysis of Pedestrians Walking While Using a Mobile Phone. Journal of Cognitive Science, 18（3）, 301-319.
Feld, J.A. & Plummer, P., 2019. Visual Scanning Behavior During Distracted Walking in Healthy Young Adults. Gait and Posture, 67, 219-223.
Ferrari, M., Muthalib, M. & Quaresima, V., 2011. The Use of near-Infrared Spectroscopy in Understanding Skeletal Muscle Physiology: Recent Developments. Philos Trans A Math Phys Eng Sci, 369（1955）, 4577-90.
Fraser, S.A., Dupuy, O., Pouliot, P., Lesage, F. & Bherer, L., 2016. Comparable Cerebral Oxygenation Patterns in Younger and Older Adults During Dual-Task Walking with Increasing Load. Frontiers in Aging Neuroscience, 8（OCT）, 240.
Gage, N.M. & Baars, B.J., 2018. Chapter 9 - Decisions, Goals, and Actions. In Gage, N.M. & Baars, B.J. eds. Fundamentals of Cognitive Neuroscience（Second Edition）. San Diego: Academic Press, 279-319.
Gary, C.S., Lakhiani, C., Defazio, M.V., Masden, D.L. & Song, D.H., 2018. Smartphone Use During Ambulation and Pedestrian Trauma: A Public Health Concern. Journal of Trauma and Acute Care Surgery, 85（6）, 1092-1101.
Goldberg, J.H., 2000. Eye Movement-Based Interface Evaluation: What Can and Cannot Be Assessed? Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 44（37）, 625-628.
Haga, S., Sano, A., Sekine, Y., Sato, H., Yamaguchi, S. & Masuda, K., 2015. Effects of Using a Smart Phone on Pedestrians’ Attention and Walking. Procedia Manufacturing, 3, 2574-2580.
Hamacher, D., Herold, F., Wiegel, P., Hamacher, D. & Schega, L., 2015. Brain Activity During Walking: A Systematic Review. Neuroscience and Biobehavioral Reviews, 57, 310-27.
Hamid, H., 2014. Chapter 24 - Networks in Mood and Anxiety Disorders. In Faingold, C.L. & Blumenfeld, H. eds. Neuronal Networks in Brain Function, Cns Disorders, and Therapeutics. San Diego: Academic Press, 327-334.
Hart, S.G. & Staveland, L.E., 1988. Development of Nasa-Tlx（Task Load Index）: Results of Empirical and Theoretical Research. Advances in Psychology, 52, 139-183.
Hertzum, M., 2021. Reference Values and Subscale Patterns for the Task Load Index（Tlx）: A Meta-Analytic Review. Ergonomics, 64（7）, 869-878.
Hocke, L.M., Oni, I.K., Duszynski, C.C., Corrigan, A.V., Frederick, B.D. & Dunn, J.F., 2018. Automated Processing of Fnirs Data-a Visual Guide to the Pitfalls and Consequences. Algorithms, 11（5）, 67.
Hoonakker, P., Carayon, P., Gurses, A., Brown, R., Mcguire, K., Khunlertkit, A. & Walker, J.M., 2011. Measuring Workload of Icu Nurses with a Questionnaire Survey: The Nasa Task Load Index（Tlx）. IIE Transactions on Healthcare Systems Engineering, 1（2）, 131-143.
Horswill, M.S. & Mckenna, F.P., 2004. Drivers’ Hazard Perception Ability: Situation Awareness on the Road. In Banbury, S. & Tremblay, S. eds. A Cognitive Approach to Situation Awareness: Theory and Application. Ashgate Publisher, 155-175.
Jacob, R. & Karn, K., 2003. Eye Tracking in Human-Computer Interaction and Usability Research: Ready to Deliver the Promises. The Mind's Eye. North-Holland, 573-605.
Jang, J.-S.R., 2022. Audio Signal Processing and Recognition. available at the links for on-line courses at the author's homepage at http://wwwcsnthuedutw/~jang.
Jiang, K., Ling, F., Feng, Z., Ma, C., Kumfer, W., Shao, C. & Wang, K., 2018. Effects of Mobile Phone Distraction on Pedestrians' Crossing Behavior and Visual Attention Allocation at a Signalized Intersection: An Outdoor Experimental Study. Accident Analysis and Prevention, 115, 170-177.
Johannsdottir, K.R. & Herdman, C.M., 2010. The Role of Working Memory in Supporting Drivers' Situation Awareness for Surrounding Traffic. Human Factors, 52（6）, 663-73.
Jones, D.G. & Endsley, M.R., 1996. Sources of Situation Awareness Errors in Aviation. Aviation Space and Environmental Medicine, 67（6）, 507-12.
Kaber, D.B., Liang, Y.L., Zhang, Y., Rogers, M.L. & Gangakhedkar, S., 2012. Driver Performance Effects of Simultaneous Visual and Cognitive Distraction and Adaptation Behavior. Transportation Research Part F-Traffic Psychology and Behaviour, 15（5）, 491-501.
Kim, H., Yi, S. & Yoon, S.-Y., 2019. Exploring Touch Feedback Display of Virtual Keyboards for Reduced Eye Movements. Displays, 56, 38-48.
Kujala, T. 2009. Efficiency of Visual Time-Sharing Behavior: The Effects of Menu Structure on Poi Search Tasks While Driving. Paper presented at the Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Essen, Germany.
Léger, P.-M., Labonté-Lemoyne, E., Fredette, M., Cameron, A.-F., Bellavance, F., Lepore, F., Faubert, J., Boissonneault, E., Murray, A., Chen, S.-L. & Sénécal, S. 2020. Task Switching and Visual Discrimination in Pedestrian Mobile Multitasking: Influence of It Mobile Task Type. Paper presented at the Information Systems and Neuroscience, Cham.
Lamberg, E.M. & Muratori, L.M., 2012. Cell Phones Change the Way We Walk. Gait and Posture, 35（4）, 688-690.
Lennon, A., Oviedo-Trespalacios, O. & Matthews, S., 2017. Pedestrian Self-Reported Use of Smart Phones: Positive Attitudes and High Exposure Influence Intentions to Cross the Road While Distracted. Accident Analysis and Prevention, 98, 338-347.
Leveque, L., Ranchet, M., Deniel, J., Bornard, J.-C. & Bellet, T., 2020. Where Do Pedestrians Look When Crossing? A State of the Art of the Eye-Tracking Studies. IEEE Access, 8, 164833-164843.
Levin, S., Sauer, L., Kelen, G., Kirsch, T., Pham, J., Desai, S. & France, D., 2012. Situation Awareness in Emergency Medicine. IIE Transactions on Healthcare Systems Engineering, 2（2）, 172-180.
Licence, S., Smith, R., Mcguigan, M.P. & Earnest, C.P., 2015. Gait Pattern Alterations During Walking, Texting and Walking and Texting During Cognitively Distractive Tasks While Negotiating Common Pedestrian Obstacles. PloS One, 10（7）, e0133281.
Lin, M.B. & Huang, Y.P., 2017. The Impact of Walking While Using a Smartphone on Pedestrians' Awareness of Roadside Events. Accident Analysis and Prevention, 101, 87-96.
Lohse, G.L., 1997. Consumer Eye Movement Patterns on Yellow Pages Advertising. Journal of Advertising, 26（1）, 61-73.
Mackenzie, I.S. & Soukoreff, R.W. 2003. Phrase Sets for Evaluating Text Entry Techniques. Paper presented at the Conference on Human Factors in Computing Systems New York, NY, USA.
Mackenzie, I.S. & Tanaka-Ishii, K., 2010. Text Entry Systems: Mobility, Accessibility, Universality: Morgan Kaufmann.
Mckendrick, R., Ayaz, H., Olmstead, R. & Parasuraman, R., 2014. Enhancing Dual-Task Performance with Verbal and Spatial Working Memory Training: Continuous Monitoring of Cerebral Hemodynamics with Nirs. Neuroimage, 85, 1014-26.
Mirelman, A., Maidan, I., Bernad-Elazari, H., Nieuwhof, F., Reelick, M., Giladi, N. & Hausdorff, J.M., 2014. Increased Frontal Brain Activation During Walking While Dual Tasking: An Fnirs Study in Healthy Young Adults. Journal of Neuroengineering and Rehabilitation, 11（1）, 85.
Mourra, G.N., Brieugne, D., Rucco, E., Labonté-Lemoyne, Ù., Courtemanche, F., Sénécal, S., Fredette, M., Cameron, A.F., Faubert, J., Lepore, F., Bellavance, F. & Léger, P.M., 2020. Measuring the Switch Cost of Smartphone Use While Walking. Journal of Visualized Experiments,（158）, e60555.
Mustonen, T., Olkkonen, M. & Hakkinen, J. 2004. Examining Mobile Phone Text Legibility While Walking. Paper presented at the CHI'04 extended abstracts on Human factors in computing systems.
Nasar, J.L. & Troyer, D., 2013. Pedestrian Injuries Due to Mobile Phone Use in Public Places. Accident Analysis and Prevention, 57, 91-5.
Nicolau, H. & Jorge, J. 2012. Touch Typing Using Thumbs: Understanding the Effect of Mobility and Hand Posture. Paper presented at the Conference on Human Factors in Computing Systems - Proceedings, Austin, Texas, USA.
Nikolic, M.I., Orr, J.M. & Sarter, N.B., 2004. Why Pilots Miss the Green Box: How Display Context Undermines Attention Capture. International Journal of Aviation Psychology, 14（1）, 39-52.
Nikolic, M.I. & Sarter, N.B., 2001. Peripheral Visual Feedback: A Powerful Means of Supporting Effective Attention Allocation in Event-Driven, Data-Rich Environments. Human Factors, 43（1）, 30-8.
Noriega, P. & Santos, J., 2010. Optical Flow and Road Environments. Advances in Cognitive Ergonomics. Taylor & Francis, 440-449.
Oldfield, R.C., 1971. The Assessment and Analysis of Handedness: The Edinburgh Inventory. Neuropsychologia, 9（1）, 97-113.
Ortiz, N.C., Ramnarayan, M. & Mizenko, K., 2017. Distraction and Road User Behavior: An Observational Pilot Study across Intersections in Washington, D.C. Journal of Transport and Health, 7, 13-22.
Owen, A.M., Mcmillan, K.M., Laird, A.R. & Bullmore, E., 2005. N-Back Working Memory Paradigm: A Meta-Analysis of Normative Functional Neuroimaging Studies. Human Brain Mapping, 25（1）, 46-59.
Parasuraman, R., Sheridan, T.B. & Wickens, C.D., 2008. Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs. Journal of Cognitive Engineering and Ddecision Making, 2（2）, 140-160.
Pizzamiglio, S., Naeem, U., Réhman, S.U., Saeed Sharif, M., Abdalla, H. & Turner, D.L. 2017. A Mutlimodal Approach to Measure the Distraction Levels of Pedestrians Using Mobile Sensing. Paper presented at the Procedia Computer Science.
Pugliese, B.J., Barton, B.K., Davis, S.J. & Lopez, G., 2020. Assessing Pedestrian Safety across Modalities Via a Simulated Vehicle Time-to-Arrival Task. Accident Analysis and Prevention, 134, 105344.
Rayner, K., 1995. Eye Movements and Cognitive Processes in Reading, Visual Search, and Scene Perception. Studies in Visual Information Processing. Elsevier, 3-22.
Reid, G.B. & Nygren, T.E., 1988. The Subjective Workload Assessment Technique: A Scaling Procedure for Measuring Mental Workload. Advances in Psychology. Elsevier, 185-218.
Retting, R. & Schwartz, S., 2019. Pedestrian Traffic Fatalities by State: 2018 Preliminary Data: GHSA United States.
Rubio, S., Diaz, E., Martin, J. & Puente, J.M., 2004. Evaluation of Subjective Mental Workload: A Comparison of Swat, Nasa-Tlx, and Workload Profile Methods. Applied Psychology-an International Review-Psychologie Appliquee-Revue Internationale, 53（1）, 61-86.
Russo, B.J., James, E., Aguilar, C.Y. & Smaglik, E.J., 2018. Pedestrian Behavior at Signalized Intersection Crosswalks: Observational Study of Factors Associated with Distracted Walking, Pedestrian Violations, and Walking Speed. Transportation Research Record. 1-12.
Sauro, J. & Dumas, J.S. 2009. Comparison of Three One-Question, Post-Task Usability Questionnaires. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Boston, MA, USA.
Savoy, A., Patel, H., Murphy, D.R., Meyer, A.N.D., Herout, J. & Singh, H., 2021. Electronic Health Records' Support for Primary Care Physicians' Situation Awareness: A Metanarrative Review. Human Factors, 187208211014300.
Schildbach, B. & Rukzio, E. 2010. Investigating Selection and Reading Performance on a Mobile Phone While Walking. Paper presented at the ACM International Conference Proceeding Series, Lisbon, Portugal.
Scholkmann, F., Kleiser, S., Metz, A.J., Zimmermann, R., Mata Pavia, J., Wolf, U. & Wolf, M., 2014. A Review on Continuous Wave Functional near-Infrared Spectroscopy and Imaging Instrumentation and Methodology. Neuroimage, 85 Pt 1, 6-27.
Schwebel, D.C., Stavrinos, D., Byington, K.W., Davis, T., O'neal, E.E. & De Jong, D., 2012. Distraction and Pedestrian Safety: How Talking on the Phone, Texting, and Listening to Music Impact Crossing the Street. Accident Analysis and Prevention, 45, 266-271.
Solso, R.L., Maclin, O.H. & Maclin, M.K., 2008. Cognitive Psychology, 8 Ed: Pearson Education, Inc.
Straker, L., Levine, J. & Campbell, A., 2009. The Effects of Walking and Cycling Computer Workstations on Keyboard and Mouse Performance. Human Factors, 51（6）, 831-44.
Strater, L.D., Reynolds, J.P., Faulkner, L.A., Birch, D.K., Hyatt, J., Swetnam, S. & Endsley, M.R., 2004. Pc-Based Tools to Improve Infantry Situation Awareness. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 48（3）, 668-672.
Summala, H., Nieminen, T. & Punto, M., 1996. Maintaining Lane Position with Peripheral Vision During in-Vehicle Tasks. Human Factors, 38（3）, 442-451.
Tandon, P.N., 2013. Not So "Silent":The Human Prefrontal Cortex. Neurology India, 61（6）, 578-80.
Tapiro, H., Oron-Gilad, T. & Parmet, Y., 2016. Cell Phone Conversations and Child Pedestrian's Crossing Behavior; a Simulator Study. Safety Science, 89, 36-44.
Tsang, P.S. & Velazquez, V.L., 1996. Diagnosticity and Multidimensional Subjective Workload Ratings. Ergonomics, 39（3）, 358-381.
Vidulich, M.A. & Tsang, P.S., 2012. Mental Workload and Situation Awareness. In Salvendy, G. ed. Handbook of Human Factors and Ergonomics. John Wiley & Sons, 243-273.
Villringer, A., Planck, J., Hock, C., Schleinkofer, L. & Dirnagl, U., 1993. Near Infrared Spectroscopy（Nirs）: A New Tool to Study Hemodynamic Changes During Activation of Brain Function in Human Adults. Neuroscience Letters, 154（1-2）, 101-104.
Who, 2011. Mobile Phone Use: A Growing Problem of Driver Distraction. World Health Organization, 48.
Wickens, C.D., 2001. Workload and Situation Awareness. Stress, Workload, and Fatigue, 443-449.
Wickens, C.D., 2002. Situation Awareness and Workload in Aviation. Current Directions in Psychological Science, 11（4）, 128-133.
Wolverton, G.S. & Zola, D., 1983. The Temporal Characteristics of Visual Information Extraction During Reading. Eye Movements in Reading. Academic Press, 41-51.
Yan, S., Tran, C.C., Wei, Y. & Habiyaremye, J.L., 2019. Driver's Mental Workload Prediction Model Based on Physiological Indices. International Journal of Occupational Safety and Ergonomics, 25（3）, 476-484.
Yarbus, A., Haigh, B. & Rigss, L., 1967. Eye Movements and Vision Boston, MA: Springer.