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http://dx.doi.org/10.3837/tiis.2015.06.016

Exploring the Attractive Factors of App Icons  

Ho, Chun-Heng (Department of Industrial Design, National Cheng Kung University)
Hou, Kai-Chun (National Taichung University of Education)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.9, no.6, 2015 , pp. 2251-2270 More about this Journal
Abstract
More than 1 billion mobile apps (smartphone applications) have been released worldwide. Competition among developers of apps that are available in app stores has intensified because of increasing demand. App icons with an appealing design can instantly increase attention. Miryoku Engineering methods were used and combined with the Kansei interface model to examine the relationship between attractive icons and users. The evaluation grid method (EGM) is a qualitative method that was used to evaluate the icons, and Quantification Theory Type I is a quantitative method that was used to analyze the influence of design elements in icons. Eight attractive factors of app icons were determined using EGM, and six specific factors were identified using questionnaires. The quantitative results indicated that user cognition and emotion were influenced by the various design elements. The impact on the attractive factors of a single design element differed among users with diverse backgrounds. App icons were assessed on the basis of aesthetics to identify attractive factors and thereby assist designers in understanding and implementing design elements and improving the overall visual appeal of their apps. The result of this investigation is crucial to the presentation of app icons in online app stores.
Keywords
App icon; EGM; Kansei interface; Miryoku Engineering; Quantification Theory Type I; Smartphone applications;
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1 Y. S. Lai, C. H. Chen, and S. C. Lin, "A Study on Attractive Factor of Fun Chair," in IASDR 2013 5th International Congress of International Association of Societies of Design Research, no. 1, pp. 3875-3886, 2013.
2 S. J. Isherwood, S. J. P. McDougall, and M. B. Curry, “Icon Identification in Context: The Changing Role of Icon Characteristics With User Experience,” Hum. Factors J. Hum. Factors Ergon. Soc., vol. 49, no. 3, pp. 465–476, 2007.   DOI
3 H.-I. Cheng and P. E. Patterson, “Iconic hyperlinks on e-commerce websites,” Appl. Ergon., vol. 38, no. 1, pp. 65–69, 2007.   DOI
4 M. García, A. N. Badre, and J. T. Stasko, “Development and validation of icons varying in their abstractness,” Interact. Comput., vol. 6, no. 2, pp. 191–211, 1994.   DOI
5 W. Jun and S. Hong, “A study on development of quality standards of educational smart contents,” KSII Trans. Internet Inf. Syst., vol. 8, no. 6, pp. 2152 – 2170, 2014.   DOI
6 R. Yan, “Icon Design Study in Computer Interface,” Procedia Eng., vol. 15, pp. 3134–3138, 2011.   DOI
7 Y. B. Salman and H. Cheng, "Senior - Friendly Icon Design for the Mobile Phone," in proc. of 6th International Conference on Digital Content, Multimedia Technology and its Applications, pp. 103-108, 2010.
8 J. Yu, Y. Rui, Y. Y. Tang, and D. Tao, “High-Order Distance-Based Multiview Stochastic Learning in Image Classification,” IEEE Trans. Cybern., vol. 44, no. 12, pp. 2431–2442, 2014.   DOI
9 S. Blankenberger and K. Hahn, “Effects of icon design on human-computer interaction,” Int. J. Man. Mach. Stud., vol. 35, no. 3, pp. 363–377, 1991.   DOI
10 S. Mcdougall, I. Reppa, G. Smith, D. Playfoot, and F. Barrow, "Beyond Emoticons: Combining Affect and Cognition in Icon Design," in proc. of 8th International Conference, EPCE 2009, Held as Part of HCI International 2009, pp. 71-80, 2009.
11 C. Nakamura and Q. Zeng-Treitler, “A Taxonomy of Representation Strategies in Iconic Communication,” Int. J. Hum. Comput. Stud., vol. 70, no. 8, pp. 535–551, 2012.   DOI
12 Y. B. Salman, H.-I. Cheng, and P. E. Patterson, “Icon and user interface design for emergency medical information systems: a case study,” Int. J. Med. Inform., vol. 81, no. 1, pp. 29–35, 2012.   DOI
13 M. Böhmer and G. Bauer, "Exploiting the icon arrangement on mobile devices as information source for context-awareness," in Proc.of 12th Int. Conf. Hum. Comput. Interact. with Mob. devices Serv. - MobileHCI '10, p. 195, 2010.
14 S. J. Griffith and J. M. Skibsted, "In pursuit of the design icon," in Proceedings of the Tsinghua International Design Management Symposium, pp. 150-159, 2009.
15 Marc Hassenzahl and Andrew Monk, “The Inference of Perceived Usability From Beauty,” Human-Computer Interact., vol. 25, no. 3, pp. 235 – 260, 2010.   DOI
16 G. Lindgaard and C. Dudek, “What is this evasive beast we call user satisfaction?,” Interact. Comput., vol. 15, no. 3, pp. 429–452, 2003.   DOI
17 M. Hassenzahl and N. Tractinsky, “User experience - a research agenda,” Behav. Inf. Technol., vol. 25, no. 2, pp. 91–97, 2006.   DOI
18 A. Walter, Designing for Emotion, A Book Apa. New York: Jeffrey Zeldman, 2011.
19 M. Nagamachi, “Kansei engineering as a powerful consumer-oriented technology for product development,” Appl. Ergon., vol. 33, no. 3, pp. 289–294, 2002.   DOI
20 M. Nagamachi, “Kansei Engineering: A new ergonomic consumer-oriented technology for product development,” Int. J. Ind. Ergon., vol. 15, no. 1, pp. 3–11, 1995.   DOI
21 S. Nagasawa, "Present state of Kansei engineering in Japan," in proc. of 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), vol. 1, pp. 333-338, 2004.
22 K. Huang, J. Chang, and K. Chen, "Kansei Evaluation on the Visual and Hearing Image of Interface Design," in Proc. of INTERNATIONAL CONFERENCE ON KANSEI ENGINEERING AND EMOTION RESEARCH 2010, 2010.
23 Jun Yu, Yong Rui, and Dacheng Tao, “Click Prediction for Web Image Reranking Using Multimodal Sparse Coding,” IEEE Trans. Image Process., vol. 23, no. 5, pp. 2019–2032, 2014.   DOI
24 L. Zhang, Y. Gao, R. Ji, Y. Xia, Q. Dai, and X. Li, “Actively learning human gaze shifting paths for semantics-aware photo cropping,” IEEE Trans. Image Process., vol. 23, no. 5, pp. 2235–2245, 2014.   DOI
25 K. Shen, K. Chen, C. Liang, and W. Pu, “Measuring the Functional and Usable Appeal of Crossover B-Car Interiors,” Hum. Factors Ergon. Manuf. Serv. Ind., vol. 00, no. 0, pp. 1–17, 2012.
26 J. Yu, D. Tao, S. Member, and M. Wang, “Learning to Rank Using User Clicks and Visual Features for Image Retrieval,” IEEE Trans. Cybern., pp. 1–13, 2014.
27 I. Press, L. Shafer, G. W. Arnold, and D. Jacobson, “Modern machine learning techniques and their applications in cartoon animation research.” .
28 N. Tractinsky, “What is beautiful is usable,” Interact. Comput., vol. 13, no. 2, pp. 127–145, 2000.   DOI
29 L. Zhang, Y. Gao, R. Zimmermann, Q. Tian, and X. Li, “Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation,” IEEE Trans. Image Process., vol. 23, no. 3, pp. 1419–1429, 2014.   DOI
30 L. Zhang, M. Song, Y. Yang, Q. Zhao, C. Zhao, and N. Sebe, “Weakly supervised photo cropping,” IEEE Trans. Multimed., vol. 16, no. 1, pp. 94–107, 2014.   DOI
31 D. A. Norman, “Introduction to This Special Section on Beauty, Goodness, and Usability,” Human-Computer Interact., vol. 19, no. 4, pp. 311–318, 2004.   DOI
32 N. Tractinsky and M. Hassenzahl, “Arguing for Aesthetics in Human-Computer Interaction,” i-com, vol. 4, no. 3, pp. 66–68, 2005.
33 M. Moshagen and M. T. Thielsch, “Facets of visual aesthetics,” Int. J. Hum. Comput. Stud., vol. 68, no. 10, pp. 689–709, 2010.   DOI
34 K.-C. Hou, C.-H. Ho, and Y.-N. Lu, "Balance between Beauty and Usability in Kansei Interface for Smartphone," in IASDR 2011 4th International Congress of International Association of Societies of Design Research, pp. 1-6, 2011.
35 K.-C. Hou and C.-H. Ho, "A Preliminary Study on Aesthetic of Apps Icon Design," in IASDR 2013 5th International Congress of International Association of Societies of Design Research, pp. 1-12, 2013.
36 M. Ujigawa, "The Conceptual Framework of Preference-Based Design," in Proc. of International conference; 7th, vol. 21 B; Social and ergonomic considerations, pp. 467-470, 1997.
37 M. Ujigawa, “The Evolution of Preference-based design,” Chiba, 2000.
38 H. Takao, K. Sakai, J. Osufi, and H. Ishii, “Acoustic User Interface (AUI) for the auditory displays,” Displays, vol. 23, no. 1–2, pp. 65–73, 2002.   DOI
39 K.-S. Shen, “Measuring the sociocultural appeal of SNS games in Taiwan,” Internet Res., vol. 23, no. 3, pp. 372–392, 2013.   DOI
40 J. Sanui, "Visualization of users' requirements: Introduction of the Evaluation Grid Method," in Proc. of the 3rd Design & Decision Support Systems in Architecture & Urban Planning Conference, pp. 365-374, 1996.
41 F. Imai and S. Kawamura, "Using Evaluation Grid Methods and Think Aloud Methods to Identify Undergraduate Students' Image of a Desirable Bookstore," in proc. of Asia-Pacific Conference on Library & Information Education and Practice(A-LIEP 2009), 2009.
42 K. Chen, K.-S. Shen, and M.-Y. Ma, “The functional and usable appeal of Facebook SNS games,” Internet Res., vol. 22, no. 4, pp. 467–481, 2012.   DOI
43 T. Komazawa and C. Hayashi, “A Statistical Method for Quantification of Categorical Data on its Applications to Medical Science,” 1976.
44 J.-S. Huang, M.-Y. Ma, and C.-H. Chen, “Research on predicting models of annoyance under the operation of digital hi-tech products,” Des. Stud., vol. 28, no. 1, pp. 39–58, 2007.   DOI
45 T. Nishino, “Exercises on Kansei Engineering,” Hiroshima International University, 2001.
46 M. Eckman and J. Wagner, “Judging the Attractiveness of Product Design: the Effect of Visual Attributes and Consumer Characteristics,” Adv. Consum. Res., vol. 21, pp. 560–564, 1994.
47 Chris Downer, “Skeuomorphism and the User Interface,” Realmac Software, 2012.
48 R. Lin, “A study of visual features for icon design,” Des. Stud., vol. 15, no. 2, pp. 185–197, 1994.   DOI
49 A. Kingsley Hughes, "600 , 000 apps in Apple ' s App Store , yet I can ' t find anything I want," ZDNet, 2012.
50 D. Wooldridge and M. Schneider, “Ch4 Your iOS App Is Your Most Powerful Marketing Tool,” The Business of iPhone and iPad App Development, Berkeley, pp. 61–96, 2011.
51 S. M. Huang, K. K. Shieh, and C. F. Chi, “Factors affecting the design of computer icons,” Int. J. Ind. Ergon., vol. 29, no. 4, pp. 211–218, 2002.   DOI
52 C. Koutsourelakis and K. Chorianopoulos, “Icons in mobile phones: Comprehensibility differences between older and younger users,” Inf. Des. J., vol. 18, no. 1, pp. 22–35, 2010.   DOI
53 S. J. P. McDougall and I. Reppa, "Why do I like It? the Relationships between Icon Characteristics, user Performance and Aesthetic Appeal," in Proc. of Hum. Factors Ergon. Soc. Annu. Meet., vol. 52, no. 18, pp. 1257-1261, 2008.
54 S. Chiu, C. S. Koong, and S. H. Fan, “Icon Design Principles for Preschoolers: Implications Derived from Child Development,” Procedia - Soc. Behav. Sci., vol. 64, pp. 228–237, 2012.   DOI
55 S. McDougall and S. Isherwood, “What’s in a name? The role of graphics, functions, and their interrelationships in icon identification,” Behav. Res. Methods, vol. 41, no. 2, pp. 325–336, 2009.   DOI
56 R. S. Goonetilleke, H. M. Shih, H. K. On, and J. Fritsch, “Effects of training and representational characteristics in icon design,” Int. J. Hum. Comput. Stud., vol. 55, no. 5, pp. 741–760, 2001.   DOI
57 M. Hassenzahl, "The Thing and I: Understanding the Relationship Between User and Product," in FUNOLOGY, vol. 3, pp. 31-42, 2003.
58 M. Stern, Best Practices for Great iOS UI Design. USA, 2013.
59 S. Schütte, “Engineering Emotional Values in Product Design: Kansei Engineering in Development,” Linköping University, The Institute of Technology, 2005.
60 D. A. Norman, “Emotion & Design : Attractive things work better,”Interact. Mag., vol. 9, no. 4, pp. 36–42, 2002.   DOI