A look into 2021 phones: A quantitative survey research study on user phone customization
Abstract
Aim: The research in this paper aims to identify how people modify their phones, which features are most important to them, and how phone companies can use information about their customers’ demographics to identify their products to them. The overarching goal of the research is to quantify user feedback better and to investigate new avenues for advanced phone customization.
Methodology: Information about the users, including information about their devices and screenshots of their lock screens and home screens, was collected using an online survey sent out privately and publicly via direct messages.
Findings: At the outset, users can alter the look of their devices by tweaking eight distinct settings: wallpaper, icons, widgets, organization, group, menu bar, launcher, and everything in between. Each user has a unique background, most of which are drawings. And then 63.75% make use of widgets, 61.25% make use of groups, and 57.50% make use other forms of organization (such as filling the screen, keeping it plain, arranging the content to see the background, using negative space, and creating patterns with the elements). Similarly, the study found that men and women use different levels of customization on their phones (men are more likely to use the basic features, while women are more likely to know the advanced ones) and that people of different ages have different levels of expertise and interest in personalizing their devices.
Implications/Novel Contribution: In one of the earliest studies of its kind, the authors examine how individuals alter their mobile devices to meet their specific requirements. The collected information can help others design better-individualized services. The study provides quantitative data on how users are customizing their phones, then examines potential gaps, and finally recommends a set of features that will hopefully give phone companies new and user-tailored ideas. The user’s needs must be considered from the beginning of a product’s setup to deliver effective results.
References
Cui, Y., Chipchase, J., & Ichikawa, F. (2007). Usability and internationalization. HCI and culture. In (chap. A Cross Culture Study on Phone Carrying and Physical Personalization). Berlin, Heidelberg: Springer.
Farooq, A. J., Rauf, A. S., Husnain, I., Bilal, H. Z., Yasir, A., & Mashood, M. (2011). Combined effects of perception of politics and political skill on employee job outcomes. African Journal of Business Management, 5(23), 9896-9904.
Fauzia, M., Farooq, A. J., & Farooq, A. (2012). Consumer trust in e-commerce: A study of consumer perceptions in Pakistan. African Journal of Business Management, 6(7), 2516-2528. doi:https://doi.org/10.5897/AJBM11.080
Haq, I., Ramay, M. I., Rehman, M. A. U., & Jam, F. A. (2010). Big five personality and perceived customer relationship management. Research Journal of International Studies, 15, 37-45.
Heidmets, M. (1994). The phenomenon of personalization of the environment: A theoretical. Journal of Russian & East European Psychology, 32(3), 41-85. doi:https://doi.org/10.2753/RPO1061-0405320341
Kutty, R. N., Rodriguez, C. O., Brigadir, I., & Aviles, E. D. (2021). Personalization, privacy, and me (Tech. Rep.). New York, NY: Cornell University.
Lavid Ben Lulu, D., & Kuflik, T. (2016). Wise mobile icons organization: Apps taxonomy classification using functionality mining to ease apps finding. Mobile Information Systems, 2016, 1-23. doi:https://doi.org/10.1155/2016/3083450
Lee, S., & Sundar, S. S. (2015). Cosmetic customization of mobile phones: Cultural antecedents, psychological correlates. Media Psychology, 18(1), 1-23. doi:https://doi.org/10.1080/15213269.2013.853618
Oulasvirta, A., & Blom, J. (2008). Motivations in personalisation behaviour. Interacting with Computers, 20(1), 1-16. doi:https://doi.org/10.1016/j.intcom.2007.06.002
Shahbaz, M., Jam, F. A., Bibi, S., & Loganathan, N. (2016). Multivariate granger causality between CO2 emissions, energy intensity and economic growth in Portugal: Evidence from cointegration and causality analysis. Technological and Economic Development of Economy, 22(1), 47-74. doi:https://doi.org/10.3846/20294913.2014.989932
Ventä, L., Isomursu, M., Ahtinen, A., & Ramiah, S. (2008). My phone is a part of my soul” – How people bond with their mobile phones (Tech. Rep.). The Second International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, Valencia, Spain.
Waheed, M., Kaur, K., Ain, N., & Hussain, N. (2016). Perceived learning outcomes from moodle: An empirical study of intrinsic and extrinsic motivating factors. Information Development, 32(4), 1001-1013. doi:https://doi.org/10.1177/0266666915581719
Waheed, M., Kaur, K., Ain, N., & Sanni, S. A. (2015). Emotional attachment and multidimensional self-efficacy: Extension of innovation diffusion theory in the context of ebook reader. Behaviour & Information Technology, 34(12), 1147-1159.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.