Abstract
The use of icons is ubiquitous in today’s computing world. A handful of icon characteristics have been found to predict icon performance. Visual complexity, concreteness, familiarity, and aesthetic value have all been shown to affect performance in searching for and locating icons. We replicate previous studies that examined icon characteristics’ effects on search time but use our own up-to-date icon stimulus set taken from existing mobile application icons. Our results verify most previous findings. The results on icon attractiveness, however, contradict findings that the advantage provided by attractiveness is only present when the icon is already difficult to find. We find the opposite—that simple icons alone are afforded an advantage by also being attractive. These confounding findings provide insight into the fundamental differences between mobile icons and icons traditionally used in search experiments.
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References
McDougall, S.J.P., de Bruijn, 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)
McDougall, S., Isherwood, S.: What’s in a name? The role of graphics, functions, and their interrelationships in icon identification. Behav. Res. Methods 41, 325–336 (2009)
Reppa, I., McDougall, S.: When the going gets tough the beautiful get going: aesthetic appeal facilitates task performance. Psychon. Bull. Rev. 22, 1243–1254 (2015)
McDougall, S.J.P., Curry, M.B., Bruijn, O.: Measuring icon and icon characteristics: Norms for concreteness, complexity, meaningfulness, familiarity and semantic distance for 239 icons. Behav. Res. Methods Comput. Instrum. 31, 487–519 (1999)
Hertwig, R., Herzog, S.M., Schooler, L.J., Reimer, T.: Fluency heuristic: a model of how the mind exploits a by-product of information retrieval. J. Exp. Psychol. Learn. Mem. Cognit. 34, 1191–1206 (2008)
McDougall, S. Reppa, I.: Ease of processing can predict icon appeal. In: HCII 2013, Las Vegas, USA. Springer, 21–26 July 2013
Garcia, M., Badre, A.N., Stasko, J.T.: Development and validation of icons varying in their abstractness. Interact. Comput. 6(2), 191–211 (1994)
Donderi, D.C.: Visual complexity: a review. Psychol. Bull. 132, 73–96 (2006)
Forsythe, A.: Visual complexity: is that all there is? In: Engineering Psychology and Cognitive Ergonomics. LNCS, vol. 5639, pp. 158–166 (2009)
Forsythe, A., Mulhern, G., Sawey, M.: Confounds in pictorial sets: the role of complexity and familiarity in basic-level picture processing. Behav. Res. Methods 40, 116–129 (2008)
Byrne, M.B.: Using icons to find documents: simplicity is critical. In: Interact ’93 and CHI ’93 Conference on Human Factors in Computing Systems, pp. 446–453, ACM, New York (1993)
Isherwood, S.J., McDougall, S.J., Curry, M.B.: Icons identification in context: the changing role of icon characteristics with user experience. J. Hum. Factors Ergon. Soc. 49, 465–476 (2007)
Forsythe, A., Nadal, M., Sheehy, N., Cela-Conde, C.J., Sawey, M.: Predicting beauty: fractal dimension and visual complexity in art. Br. J. Psychol. 102(1), 49–70 (2011)
Graham, D.J., Redies, C.: Statistical regularities in art: relations with visual coding and perception. Vis. Res. 50(16), 1503–1509 (2010)
Hagerhall, C.M., Purcell, T., Taylor, R.: Fractal dimension of landscape silhouette outlines as a predictor of landscape preference. J. Environ. Psychol. 24(2), 247–255 (2004)
Joosten, J.J., Soler-Toscano, F., Zenil, H.: Fractal dimension versus computational complexity. arXiv preprint arXiv:1309.1779 (2013)
Snodgrass, J.G., Vanderwart, M.: A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity and visual complexity. J. Exp. Psychol. Hum. Learn. Mem. 6, 174–215 (1980)
Gray, W.D., Boehm-Davis, D.A.: Milliseconds matter: an introduction to microstrategies and to their use in describing and predicting interactive behavior. J. Exp. Psychol. Appl. 6(4), 322–335 (2000)
Becker, D.V., Anderson, U.S., Mortensen, C.R., Neufeld, S.L., Neel, R.: The face in the crowd effect unconfounded: happy faces, not angry faces, are more efficiently detected in single and multiple target visual search tasks. J. Exp. Psychol. Gen. 140(4), 637 (2011)
LeDoux, J.E.: The Emotional Brain. Simon and Schuster, New York (1996)
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The authors would like to thank Mark Faust for his assistance with the statistics involved in creating the icon stimulus set.
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Smythwood, M., Hadzikadic, M. (2019). The Effects of Icon Characteristics on Search Time. In: Ahram, T., Falcão, C. (eds) Advances in Usability, User Experience and Assistive Technology. AHFE 2018. Advances in Intelligent Systems and Computing, vol 794. Springer, Cham. https://doi.org/10.1007/978-3-319-94947-5_6
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DOI: https://doi.org/10.1007/978-3-319-94947-5_6
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