Abstract
This paper aimed to understand the effect mechanism of mobile application icon complexity and border on college students’ cognition, and enhance the interaction efficiency between college students and mobile applications. The study used a 2 (complexity: complex and simple) × 2 (border of icons: border and no border) with-subject repeated measurement full-factorial design. Icon cognition experiments were conducted to explore the relationship between icon design characters (complexity vs. border) and college students’ cognition (reaction time vs. error times). The results show that reaction time is shorter for simple and no border icons than complex and border icons; Border icons result in raised error times, but error times have no difference between complex and border icon. There is no significant interaction effect of icon complexity and border on college students’ cognition.
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References
Wu, F.G., Lin, H., You, M.: The enhanced navigator for the touch screen: a comparative study on navigational techniques of web maps. Displays 32, 284–295 (2011)
Bovea, M.D., Quemades-Beltrán, P., Pérez-Belis, V., Juan P., Braulio-Gonzalo, M., Ibáñez-Forés, V.: Options for labelling circular products: icon design and consumer preferences. J. Clean Prod. 202, 1253–1263 (2018)
Jin, T., Niu, Y., Zhou, L.: Are the warning icons more attentional? Appl. Ergon. 65, 51–60 (2017)
Ben-Bassat, T., Shinar, D.: Ergonomic guidelines for traffic sign design increase sign comprehension. Hum. Factors 48, 182–195 (2006)
Gong, Y., Yang, Y., Zhang, S., Qian, X.: Effects of graphical panel layout characteristics on human-computer interactive efficiency. J. Comput. Aid. Des. Comput. Graph. 24, 1145–1150 (2012)
Mcdougall, S.J.P., Curry, M.B., Bruijn, O.D.: Measuring symbol and icon characteristics: norms for concreteness, complexity, meaningfulness, familiarity, and semantic distance for 239 symbols. Behav. Res. Met. Instrum. Comput. 31, 487–519 (1999)
Gong, Y., Zhang, S., Liu, Z., Shen, F.: Eye movement study on color effects to icon visual search efficiency. J. Z. U. (Eng. Sci.) 50, 1987–1994 (2016)
Huang, H., Lai, H.-H.: Factors influencing the usability of icons in the LCD touchscreen. Displays 29, 339–344 (2008)
Kunnath, M.L.A., Cornell, R.A., Kysilka, M.K.: An experimental research study on the effect of pictorial icons on a user-learner’s performance. Comput. Hum. Behav. 23, 1454–1480 (2007)
Wang, H., Huang, Y., Chen, M., Xu, C., Q.: Analysis of cognitive model in icon search behavior based on ACT-R model. J. Comput. Aid. Des. Comput. Graph. 28, 1740–1749 (2016)
Mcdougall, S., Reppa, I., Kulik, J., Taylor, A.: What makes icons appealing? The role of processing fluency in predicting icon appeal in different task contexts. Appl. Ergon. 55, 156–172 (2016)
Qian, X., Yang, Y., Sun, S.: Exploring the effects of icon concreteness on the recognition process: an event- related potential study. J. Psychol. Sci. 37, 27–33 (2014)
Treisman, A., Gormican, S.: Feature analysis in early vision: evidence from search asymmetries. Psychol. Rev. 95, 15–48 (1988)
Mcdougall, S.J., De, B.O., Curry, M.B.: Exploring the effects of icon characteristics on user performance: the role of icon concreteness, complexity, and distinctiveness. J. Exp. Psychol. Appl. 6, 291–306 (2000)
Forsythe, A., Mulhern, G., Sawey, M.: Confounds in pictorial sets: the role of complexity in basic level picture processing. Behav. Res. Methods 40, 116–129 (2008)
Lin, H., Hsieh, Y.C., Wu, F.G.: A study on the relationships between different presentation modes of graphical icons and users’ attention. Comput. Hum. Behav. 63, 218–228 (2016)
Wolfe, J.M., Vo, M.L., Evans, K.K., Greene, M.R.: Visual search in scenes involves selective and non-selective pathways. Trends Cogn. Sci. 15, 77–84 (2011)
Huang, K.C., Chiu, T.L.: Visual search performance on an LCD monitor: effects of color combination of figure and icon background, shape of icon, and line width of icon border. Percept. Motor Skills 104, 562–574 (2007)
Fleetwood, M.D., Byrne, M.D.: Modeling icon search in ACT-R/PM. Cogn. Syst. Res. 3, 25–33 (2002)
Lin, H., Hsieh, Y.-C.: A preliminary study on presentation of graphical icons affect with viewers’ preference. J. Kansei 3, 8–26 (2015)
Leung, R., Mcgrenere, J., Graf, P.: Age-related differences in the initial usability of mobile device icons. Behav. Inform. Tech. 30, 629–642 (2011)
Chen, C.C.: User recognition and preference of app icon stylization design on the smartphone. In: Stephanidis, C. (ed.) HCI International 2015. CCIS, vol. 529, pp. 9–15. Springer, Cham (2015)
Acknowledgments.
This work is supported by the National Natural Science Foundation of China (Grant No. 71701003, 71801002), the Key Project for Natural Science Fund of Colleges in Anhui Province (Grant no. KJ2017A108), the Start Scientific Research Fund for Introduce Talents of Anhui Polytechnic University (Grant no. 2016YQQ007), the Humanities and Social Sciences Foundation of the Ministry of Education in China (No. 18YJC630023) and the Anhui Natural Science Foundation Project (No. 1808085QG228).
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Cao, Y., Ding, Y., Deng, Y., Zhang, X. (2020). Effects of Mobile Application Icon Complexity and Border on College Students’ Cognition. In: Fukuda, S. (eds) Advances in Affective and Pleasurable Design. AHFE 2019. Advances in Intelligent Systems and Computing, vol 952. Springer, Cham. https://doi.org/10.1007/978-3-030-20441-9_29
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DOI: https://doi.org/10.1007/978-3-030-20441-9_29
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