Contextual Analysis of the Site

Authors

DOI:

https://doi.org/10.15802/stp2024/313503

Keywords:

website, developer, method, user, contextual research, software

Abstract

Purpose. The purpose of this article is to describe the method of contextual website research, which is an alternative to traditional benchmark tests. Unlike laboratory tests, where conditions are strictly controlled, contextual research allows you to evaluate the usability of a website in a real context, taking into account the factors that affect the user in his or her usual environment. This means that researchers observe users interacting with a website in their natural environment, such as at home or at work, which allows them to gain a more relevant understanding of the user experience. Methodology. We used the contextual research method, which involves detailed observation and interviewing a small group of users about certain aspects of a website. This helps to get a realistic picture of how the user perceives and uses the site in real conditions, in the context of websites. Researchers can observe how users use the website, what tasks they are trying to accomplish, what difficulties they encounter, and how they interact with other tools and programs. Findings. The study makes it possible to greatly simplify the evaluation of website usability using certain approaches and developed software. Using contextual research, it is possible to identify shortcomings that would not be noticeable during laboratory tests and suggest improvements that increase the usability of a website. Originality. The study is based on key principles such as contextualization, collaborative evaluation, usability as the main indicator, and focus on the subject matter. This allows us to gain a deeper understanding of how users interact with a website in real life, not just in an artificially created laboratory environment. Practical value. The results of the work allow us to use the method of contextual research in a wide range of human activities within websites of different orientations to improve the user experience. This can be especially useful for websites that are developed for certain groups of users, such as people with disabilities or the elderly.

References

Bogutskyi, D. (2022). Contextual inquiry of a website: Master's thesis in Software Engineering. Ukrainian State University of Science and Technology. Dnipro. (in Ukrainian)

Bar, A., Shapira, B., & Rokach, L. (2023). Context aware Markov chains models. Knowledge-Based Systems, 282, 111083. DOI: https://doi.org/10.1016/j.knosys.2023.111083 (in English)

Derun, I., Mysaka, H., & Skliaruk, I. (2023). Contextual Research of Strategic Theories for Non-financial Reporting: A System-Structural Approach to Formulating Reporting Principles. Scientific Papers of the University of Pardubice, Series D: Faculty of Economics and Administration, 31(1), 1-12. DOI: https://doi.org/10.46585/sp31011644 (in English)

Geary, T. M. (2022). Contextual Inquiry. Keywords in Design Thinking: A Lexical Primer for Technical Communicators & Designers, 63-66. DOI: https://doi.org/10.37514/tpc-b.2022.1725.2.10 (in English)

Hall, E. (2021). Just enough research: Second edition. Mule Design. (in English)

Henderson, J. (2024, April 18). Contextual inquiry: A comprehensive guide. UserTesting. Retrieved from https://www.usertesting.com/blog/contextual-inquiry (in English)

Howie, S., & Gilardi, M. (2020). Virtual Observations: a software tool for contextual observation and assessment of user’s actions in virtual reality. Virtual Reality, 25(2), 447-460. https://doi.org/10.1007/s10055-020-00463-5 (in English)

Kuby, C. R., & Bozalek, V. (2022). Post Philosophies and the Doing of Inquiry: Webinars and WEBing Sessions Become a Special Issue(s). Qualitative Inquiry, 29(1), 3-6. DOI: https://doi.org/10.1177/10778004221122288 (in English)

Lee, H.-P. (Hank), Chiang, Y.-S., Chou, Y.-L., Lin, K.-P., & Chang, Y.-J. (2023). What makes IM users (un)responsive: An empirical investigation for understanding IM responsiveness. International Journal of Human-Computer Studies, 172, 102983. DOI: https://doi.org/10.1016/j.ijhcs.2022.102983 (in English)

Rodríguez-García, M. Á., García-Sánchez, F., & Valencia-García, R. (2024). Smart recommender for the configuration of software project development teams. Expert Systems with Applications, 258, 125141. DOI: https://doi.org/10.1016/j.eswa.2024.125141 (in English)

Saleh, K., & Shukairy, A. (2015). Conversion optimization: The art and science of converting prospects to customers. Packt Publishing. (in English)

Singh, H., Khalajzadeh, H., Paktinat, S., Graetsch, U. M., & Grundy, J. (2022). Modelling human-centric aspects of end-users with iStar. Journal of Computer Languages, 68, 101091. DOI: https://doi.org/10.1016/j.cola.2022.101091 (in English)

Szabó, B., & Hercegfi, K. (2022). User‐centered approaches in software development processes: Qualitative research into the practice of Hungarian companies. Journal of Software: Evolution and Process, 35(2), 1-28. DOI: https://doi.org/10.1002/smr.2501 (in English)

User Experience (UX) Design. (2024, March 12). Interaction Design Foundation. Retrieved from https://www.interaction-design.org/literature/topics/ux-design (in English)

Wang, H., Devine, P., Tizard, J., Shahamiri, S. R., & Blincoe, K. (2024). Conversation in forums: How software forum posts discuss potential development insights. Journal of Systems and Software, 215, 112108. DOI: https://doi.org/10.1016/j.jss.2024.112108 (in English)

Published

2024-09-24

How to Cite

Gorbova, O. V., & Bohutskyi, D. V. (2024). Contextual Analysis of the Site. Science and Transport Progress, (3(107), 32–39. https://doi.org/10.15802/stp2024/313503

Issue

Section

INFORMATION AND COMMUNICATION TECHNOLOGIES AND MATHEMATICAL MODELING