Effects of sign design features and training on comprehension of traffic signs in Taiwanese and Vietnamese user groups

Abstract This study examined the effects of sign design features and training on the comprehension of four types of Taiwanese traffic signs in Taiwanese and Vietnamese users. Thirty Taiwanese and thirty Vietnamese, each group gender-balanced, participated in this experiment, which involved 5 design features (familiarity, concreteness, simplicity, meaningfulness, and semantic closeness), 4 types of traffic signs (warning, prohibition, auxiliary, and indicatory), and 3 training conditions (before training, immediately following training, and one month after training). A total of sixty-five traffic signs were selected as the stimuli and each was presented on a 10 cm × 10 cm white cardboard in random order. Within each training condition participants were instructed to (1) verbally describe their comprehension of the meaning of the signs, which was then evaluated by the experimenter from 0 to 1, and (2) provide subjective ratings for each of the five design features, on a scale ranging from 0 to 100. The results reveal the training effect to be positive in both user groups. For Taiwanese, the average comprehension was 0.63 before training and it increased to 0.98 immediately after training. For Vietnamese, the average comprehension was 0.41 before training and it increased to 0.89 immediately after training. Even one month after the training had taken place, the comprehension scores of both groups were still higher than groups that did not receive training (Taiwanese group: 0.83; Vietnamese group: 0.66). For the two groups, the design features of concreteness and meaningfulness were highly correlated (Taiwanese group: r  = 0.97; Vietnamese group: r  = 0.95), and the feature of semantic closeness had the greatest positive correlation with comprehension (Taiwanese group: r  = 0.88; Vietnamese group: r  = 0.80). In addition, a drop correlated to comprehension was found to be significant (Taiwanese group: r  = −0.92; Vietnamese group: r  = −0.89), and semantic closeness was the most negatively correlated feature (Taiwanese group: r  = −0.82; Vietnamese group: r  = −0.60), meaning that, the closer the semantic meaning is to the sign design, the higher the comprehension and the less decline in sign comprehension. Relevance to industry Globalization means that a country must cater to a population with a diversity of cultural backgrounds. Designing signs that effectively convey safety information to all the different groups of users has thus become an important issue. This research attempts to investigate the relationship between sign design feature and training on traffic sign comprehension in Taiwanese and Vietnamese users. The results of this study can provide insight into designing public signs and can be extended to various instructional pictures provided with consumer products designed for world-wide use.

[1]  Anil Mital,et al.  Study of symbols coding in airway facilities , 2000 .

[2]  GlLLES Malaterre,et al.  Error analysis and in-depth accident studies , 1990 .

[3]  Stefano Passini,et al.  Icon-function relationship in toolbar icons , 2008, Displays.

[4]  Shih-miao Huang,et al.  Factors affecting the design of computer icons , 2002 .

[5]  Elisa del Galdo Internationalization and translation: some guidelines for the design of human-computer interfaces , 1990 .

[6]  Jakob Ossner Transnational symbols: the rule of pictograms and models in the learning process , 1990 .

[7]  P Cairney,et al.  Communication effectiveness of symbolic safety signs with different user groups. , 1982, Applied ergonomics.

[8]  Mark G Solomon,et al.  Analysis of motor-vehicle crashes at stop signs in four US cities. , 2003, Journal of safety research.

[9]  Colin M. Macleod,et al.  Picture recognition improves with subsequent verbal information. , 1985, Journal of experimental psychology. Learning, memory, and cognition.

[10]  Martin B. Curry,et al.  Measuring symbol and icon characteristics: Norms for concreteness, complexity, meaningfulness, familiarity, and semantic distance for 239 symbols , 1999, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[11]  Alan Hs Chan,et al.  What Makes an Icon Effective , 2009 .

[12]  David Shinar,et al.  Traffic sign symbol comprehension: a cross-cultural study , 2003, Ergonomics.

[13]  Dominic Paul T. Piamonte,et al.  Using multiple performance parameters in testing small graphical symbols , 2000 .

[14]  David Shinar,et al.  Ergonomic Guidelines for Traffic Sign Design Increase Sign Comprehension , 2006, Hum. Factors.

[15]  Tom Carey,et al.  Human-computer interaction , 1994 .

[16]  Patricia Russo,et al.  How fluent is your interface?: designing for international users , 1993, INTERCHI.

[17]  Mary F Lesch,et al.  A comparison of two training methods for improving warning symbol comprehension. , 2008, Applied ergonomics.

[18]  M. Wogalter,et al.  Comprehension and Memory of Instruction Manual Warnings: Conspicuous Print and Pictorial Icons , 1990 .

[19]  Oscar de Bruijn,et al.  The effects of visual information on users' mental models: an evaluation of pathfinder analysis as a measure of icon usability. , 2001 .

[20]  Hashim M. N. Al-Madani,et al.  Assessment of drivers' comprehension of traffic signs based on their traffic, personal and social characteristics , 2002 .

[21]  Annie W. Y. Ng,et al.  Investigation of guessability of industrial safety signs: Effects of prospective-user factors and cognitive sign features , 2010 .

[22]  M. Wogalter,et al.  Comprehension and retention of safety pictorials , 1997 .

[23]  Alan H. S. Chan,et al.  Cognitive Design Features on Traffic Signs , 2007, Eng. Lett..

[24]  Alan H. S. Chan,et al.  IAENG Transactions on Engineering Technologies Volume 3: Special Edition of the International MultiConference of Engineers and Computer Scientists 2009 , 2009 .

[25]  Gavriel Salvendy,et al.  Design of Icons for Use by Chinese in Mainland China , 1998, Interact. Comput..

[26]  R E Dewar,et al.  The Semantic Differential as an Index of Traffic Sign Perception and Comprehension , 1977, Human factors.

[27]  Mary Beth Rosson,et al.  Usability Engineering: Scenario-based Development of Human-Computer Interaction , 2001 .

[28]  Richard W. Pew,et al.  Evaluating Pictographic Symbols: An Automotive Application , 1978 .

[29]  An-Hsiang Wang,et al.  Effects of hazardous material symbol labeling and training on comprehension according to three types of educational specialization , 2003 .

[30]  Michael S. Wogalter,et al.  Comprehension of Pictorial Symbols: Effects of Context and Test Method , 1998, Hum. Factors.

[31]  D L Massie,et al.  Development of a collision typology for evaluation of collision avoidance strategies. , 1993, Accident; analysis and prevention.

[32]  Jakob Nielsen,et al.  Designing User Interfaces for International Use , 1990 .

[33]  Ravindra S. Goonetilleke,et al.  Effects of training and representational characteristics in icon design , 2001, Int. J. Hum. Comput. Stud..

[34]  Alan H S Chan,et al.  The guessability of traffic signs: effects of prospective-user factors and sign design features. , 2007, Accident; analysis and prevention.

[35]  Rungtai Lin An Application of the Semantic Differential to Icon Design , 1992 .

[36]  Harm J. G. Zwaga,et al.  Visual Information For Everyday Use : Design And Research Perspectives , 1999 .

[37]  Mary F Lesch,et al.  Comprehension and memory for warning symbols: age-related differences and impact of training. , 2003, Journal of safety research.