Abstract
The age and gender are the significant demographic characteristics in the context of usability. The different age and gender groups may have different perceptions of the aesthetics of user interfaces. The primary objective of this study is to analyze the influence of these factors on user performance in a gaming environment. To investigate the performance of users on commonly used tasks (clicking, pointing, and typing), 360 participants participated in controlled laboratory experiments through a gaming prototype. The performance of the participants was analyzed through different statistical methods. It is observed that there were significant differences between males and females during interaction with the computer. Such differences were also found in the spectrum of age groups. This study may pave new research directions to explore the impact of these factors in multiple different contexts.
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References
C.M.N. Faisal, M. Gonzalez-Rodriguez, D. Fernandez-Lanvin, J. De Andres-Suarez, Web design attributes in building user trust, satisfaction, and loyalty for a high uncertainty avoidance culture. IEEE Trans. Human-Mach. Syst. 47(6), 847–859 (2017)
S. Kim, T.H. Baek, Examining the antecedents and consequences of mobile app engagement. Telemat. Inform. 35(1), 148–158 (2018)
A. Cockrill, Customer engagement and online reviews. J. Retail. Consum. Serv. 18(2), 119 (2011)
J.-E. Pelet et al., Impact of M-commerce website design on consumers behavioral intentions: an empirical study of age as a moderating influence (2017), pp. 111–124
S. Pengnate, R. Sarathy, An experimental investigation of the influence of website emotional design features on trust in unfamiliar online vendors. Comput. Human Behav. 67, 49–60 (2017)
M. Halbrgge, Predicting User Performance and Errors. T-Labs Series in Telecommunication Services (2018)
D. Kieras, GOMS models for task analysis, in Handbook Task Analysis Human-Computer Interaction (December 2017), pp. 83–116
B.E. John, D.E. Kieras, The GOMS family of user interface analysis techniques: comparison and contrast. ACM Trans. Comput. Interact 3(4), 320–351 (1996)
F. Khaet, A. Alfimtse, The extended model of goals, operators, methods and selection rules (GOMS) for gesture interfaces, in ACM International Conference, Proceeding Series (2017)
J. Zhang, A.A. Ghorbani, GUMSAWS: A generic user modeling server for adaptive web systems, in Proceedings—CNSR 2007 Fifth Annual Conference on Communication Networks Services Results (2007), pp. 117–124
L. Weilong, J. Fang, Z. Xin, Ontology-based user modeling for E-commerce system, in 2008 3rd International Conference on Pervasive Computer Applications ICPCA08, vol. 1 (2008), pp. 260–263
Y. Yang, M.-A. Aufaure, C. Claramunt, Towards a DL-based semantic user model for web personalization, in Third International Conference on Autonomic and Autonomous Systems (2007), p. 61
D. Fernandez-Lanvin, J. de Andres-Suarez, M. Gonzalez-Rodriguez, B. Pariente-Martinez, The dimension of age and gender as user model demographic factors for automatic personalization in e-commerce sites. Comput. Stand. Interfaces 59, 19 (2018)
B. Pariente-Martinez, M. Gonzalez-Rodriguez, D. Fernandez-Lanvin, J. De Andres-Suarez, Measuring the role of age in user performance during interaction with computers. Univers. Access Inf. Soc. 15(2), 237–247 (2016)
N. Wagner, K. Hassanein, M. Head, The impact of age on website usability. Comput. Human Behav. 37, 270–282 (2014)
A. Chevalier, A. Dommes, J.C. Marqui, Strategy and accuracy during information search on the Web: Effects of age and complexity of the search questions. Comput. Human Behav. 53, 305–315 (2015)
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Jamil, A., Nadeem Faisal, C.M., Habib, M.A., Jabbar, S., Ahmad, H. (2020). Analyzing the Impact of Age and Gender on User Interaction in Gaming Environment. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1087. Springer, Singapore. https://doi.org/10.1007/978-981-15-1286-5_64
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