Stepwise Multiple Regression Analysis for Usability Testing of Presented Information on Extracted Road Traffic Accident Reports
Keywords:
Usability Testing, Data Extraction, Road Traffic Accident, Data VisualizationAbstract
This research aimed to extract road traffic accident reports and perform usability testing of the presented relevant information. The process started from collecting data on large-scale accidents from websites, pre-processing the data for text analysis and handling typographical errors by measuring text similarity using the Levenshtein distance for creating a specialized corpus and entity extraction to extract relevant information in 6 issues, namely, province, date, number of deaths, number of injuries, type and number of motor vehicle(s) involved in the accidents. The information was then visually presented to the web user via data visualization. When evaluating the information retrieval by three indicators, i.e., Precision, Recall, and F-measure, the average accuracy of information retrieval for the tested samples were 0.87, 0.85, and 0.86, respectively. The result on usability testing of the presented information, based on 30 users selected by non-probability sampling via the purposive sampling method, was at a good level (= 3.73). Prior to the analysis of the data, the assumptions of linear regression were checked. When analyzing multiple regression with stepwise selection procedures, 6 variables were noted to be involved: the accuracy of the extracted road traffic accident reports, the ability to rapidly use the system, the accuracy of the presented results as per the search criteria, the ability of understand the process of obtaining results on one’s own, the accuracy of the placement of the list of provinces for searching and the speed at which the data are presented. All variables exhibited the prediction accuracy of the overall information presentation capability of 87.2, with multiple coefficients value of .934, which was significant. The user performance components tended to be in the same direction, while the user opinions components varied with the relevant context.
References
World Health Organization, 2018, Global Status Report on Road Safety 2018, World Health Organization, Geneva, p. 245
Division of Non Communicable Disease, 2015, Where did the Data and Statistics of the Dead Disappear?, Bureau of Non Communicable Disease, Nonthaburi, pp. 1-6. (In Thai)
Road Safety Center, 2017, Accident data definition, Department of Disaster Prevention and Mitigation, Ministry of Interior, Bangkok, pp. 1-6. (In Thai)
Devadason, F.J., 1996, “Practical Steps for Identifying Information Needs of Clients,” Proceedings of the Tenth Congress of Southeast Asian Librarians (CONSAL X), Kuala Lumpur, Malaysia.
Ware, C., 2020, Information Visualization: Perception for Design, 4th ed., Morgan Kaufmann, Boston.
McConnell, S., 1996, Rapid Development: Taming Wild Software Schedules, Microsoft Press, Washington.
Mitchell, R., 2015, Web Scraping with Python, 2nd ed., O'Reilly Media, Sebastopol.
Garson, G.D., 2015, Missing Values Analysis and Data Imputation, Statistical Associates Publishing, Asheboro.
Tapsai, C., Unger, H. and Meesad, P., 2021, Thai Natural Language Processing Word Segmentation, Semantic Analysis, and Application, Springer, Cham.
Porter, M.F., 1980, “An Algorithm for Suffix Stripping,” Program: Electronic Library and Information Systems, 14 (3), pp. 130-137.
Santirattanaphakdi, C., 2020, “The Design and Development of a Knowledge Extraction and Retrieval System via Data Visualization Case Study: Road Major Accidents on Website,” APHEIT Journal Science and Technology, 9 (2), pp. 17-32. (In Thai)
Levenshtein, V.I., 1966, “Binary Codes Capable of Correcting Deletions, Insertions, and Reversals,” Soviet Physics Doklady, 10 (8), pp. 707–0710.
Miller, F.P., Vandome, A.F. and McBrewster, J., 2009, Levenshtein Distance, Alphascript Publishing, Gladbach.
Indurkhya, N. and Damerau, F.J., 2010, Handbook of Natural Language Processing, 2nd ed., Chapman & Hall, New York.
Martinez, J., 2018, Google Charts for Institutional Research Websites, University of Houston, Houston.
Chen, C., Härdle, W. and Unwin, A., 2008, Handbook of Data Visualization, Springer, Berlin.
Wilke, C.O., 2019, Fundamentals of Data Visualization A Primer on Making Informative and Compelling Figures, O’Reilly Media, Boston.
Manning, C.D., Raghavan, P. and Schütze, H., 2008, Introduction to Information Retrieval, 1st ed., Cambridge University Press, Cambridge.
Dix, A., Finlay, J., Abowd, G. D. and Beale, R., 2004, Human–computer Interaction, 3rd ed., Pearson Education Limited, Haddington.
The International Organization for Standardization (ISO), 1998, Ergonomic Requirements for Office Work with Visual Display Terminals (VDTs) Part 11: Guidance on Usability. ISO 1998, Genève.
Shackel, B. and Richardson, S., 1991, Human Factors for Informatics Usability – Background and Overview, Cambridge University Press, Cambridge.
Preece, J., 2002, Interaction Design beyond Human-computer Interaction, John Wiley & Sons, New York.
Shneiderman, B. and Plaisant, C., 2005, Designing the User Interface: Strategies for Effective Human-computer Interaction, 4th ed., Addison Wesley Longman, Massachusetts.
Brinck, T., Gergle, D. and Wood, S.D., 2012, Usability for the Web: Designing Web Sites that Work, Morgan Kaufmann, San Francisco.
Rubin, J. and Chisnell, D., 2008, Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests, Wiley, New York.
Nielsen, J., 1993, Usability Engineering, Morgan Kaufmann, New York.
Srisa-ard, O., 1995, “Validation of Tool Measurement by Expert,” Journal of Educational Measurement Mahasarakham University, 1 (1), pp. 45-49. (In Thai)
Pipitkun, K., 2018, “Quality of Questionnaire Tools: Validity and Reliability in Public Administration for Research,” NEU Academic and Research Journal, 8 (2), pp. 104-110. (In Thai)
Cronbach, L.J., 1990, Essentials of Psychological Testing, 5th ed., Harper Collins Publishers, New York.
Kanjanawasee, S., 2001, Selection of Appropriate Statistics for Research, Boonsiri Printing, Bangkok. (In Thai)
Nielsen, J. and Landauer, T.K, 1993, “A Mathematical Model of the Finding of Usability Problems,” The Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems, Amsterdam, The Netherlands, pp. 206-213.
Saohin, W., 2001, “Sampling Technique and Sample Size,” Suddhiparitad, 15 (47), pp. 80-87. (In Thai)
Jensen, C., 1996, Delphi in Depth: Power Techniques from the Experts, McGraw-Hill, Berkeley.
Jensantikul, N., 2017, “Utilizing the Delphi Technique for Research”, Kasetsart University Political Science Review Journal, 4 (2), pp. 48-64. (In Thai)
Likert, R., 1961, New Patterns of Management, McGraw-Hill Book Company, New York.
Srisa–ard, B., 2011, Basic Research, Suveiriyasan Publishing, Bangkok. (In Thai)
Ghorbani, H., 2019, “Mahalanobis Distance and Its Application for Detecting Multivariate Outliers,” Series: Mathematics and Informatics, 34 (3), pp. 583-595.
Steinskog, D.J., Tjøstheim, D.B. and Kvamstø, N.G., 2007, “A Cautionary Note on the Use of the Kolmogorov–Smirnov Test for Normality,” American Meteorological Society, 135 (3), pp. 1151–1157.
Islam, M.R., 2018, “Sample Size and Its Role in Central Limit Theorem (CLT),” Computational and Applied Mathematics Journal, 4 (1), pp. 1-7.
Razali, N.M. and Wah, Y.P., 2011, “Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling Tests,” Journal of Statistical Modeling and Analytics, 2 (1), pp. 21-33.
Tabachnick, B.G. and Fidell, L.S., 2001, Using Multivariate Statistics, Allyn & Bacon, Needham.
Hair, J.F., Black, W.C., Babin, B.J. and Anderson, R.E., 2014, Multivariate Data Analysis, 7th ed., Pearson Education, Harlow.
Wiratchai, N., 2010, Course 21701 Curriculum and Instruction Research Unit 7 Studies of Relevant Literature and Unit 10 Quantitative Analytical Statistics: Descriptive Statistics and Parametric Statistics Master of Education Degree Program Courses and Teaching Sukhothai Thammathirat University, Sukhothai Thammathirat Publishing, Bangkok. (In Thai)
Phusee-orn, S., 2018, Applying SPSS to Analyze Research Data, 8th ed., Taksila Publishing, Mahasarakham. (In Thai)
Folmer, E. and Bosch, J., 2004, “Architecting for Usability: a Survey,” The Journal of Systems and Software, 70 (1-2), pp. 61-78.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 King Mongkut's University of Technology Thonburi
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Any form of contents contained in an article published in Science and Engineering Connect, including text, equations, formula, tables, figures and other forms of illustrations are copyrights of King Mongkut's University of Technology Thonburi. Reproduction of these contents in any format for commercial purpose requires a prior written consent of the Editor of the Journal.
