Dynamically changing user interfaces: software solutions based on automatically collected user information
https://doi.org/10.15514/ISPRAS-2018-30(3)-15
Abstract
The developed system "AAUI" is aimed at the automated adaptation of interfaces to the needs of users. The system provides pseudo-identification of users (building anonymous users and rules database based on their stay in web applications). The original feature of the system is the used model of identifying anonymous users of the end products with the further use of the dynamic identifier to automatically adapt the interface to the identified user's need. The analysis of the systems aimed at collecting information about users made it possible to conclude that these software systems provide only the collection of profiled information about incoming users and do not provide for automated adaptation of interfaces to the needs of users. There is no similar software in the open access. The prospects for the further development of AAUI include an increase in the number of identification markers to improve the authenticity of user identification, the integratioin with content management systems and the optimization of data management.
About the Authors
V. V. Zosimov
V.O. Sukhomlynsky Mykolaiv National University
Ukraine
Ukraine
O. V. Khrystodorov
V.O. Sukhomlynsky Mykolaiv National University
Ukraine
Ukraine
O. S. Bulgakova
V.O. Sukhomlynsky Mykolaiv National University
Ukraine
Ukraine
References
1. Rothrock L., Koubek R., Fuchs F. et al. Review and reappraisal of adaptive interfaces: toward biologically inspired paradigms. Theoretical Issues in Ergonomics Science, vol. 3, No. 1, 2002, рр. 47-84.
2. Khodakov V.E., Khodakov D.V. Adaptive user interface: problems of building. Avtomatika. Avtomatizacija. Jelektrotehnicheskie kompleksy i sistemy [Automation. Automatization. Electrotechnical complexes and systems], № 1 (11), 2002, pp. 45-57 (in Russian).
3. Kurgantseva L.I. Methodology of integrated studies of the adaptive human-machine interface. Matematicheskie mashiny i sistemy [Mathematical Machines and Systems], № 4, 2011, pp. 69-77 (in Russian).
4. Kurgantseva L.I. About the adaptive intellectual interface “The user - system of mass application”. Komp'juternye sredstva, seti i sistemy [Computer means, networks and systems], №7, 2008, pp. 110-116 (in Russian).
5. Langley P. User modeling in adaptive interfaces. In Proceedings of the Seventh International Conference on User Modeling, 1999, pp. 357-370.
6. Karwowski W. A review of human factors challenges of complex adaptive systems: discovering and understanding chaos in human performance. Human Factors, vol. 54, No. 6, 2012, pp. 983-995.
7. Peter Eckersley, How Unique Is Your Web Browser? Electronic Frontier Foundation Режим доступа: https://www.eff.org/, дата обращения 02.05.2017.
8. Gilmore J. Easy Laravel 5. Leanpub, 2016, 235 р.
9. Dockins K. Design Patterns in PHP and Laravel. Appers, 2017, 45 р.
10. Botchkaryov A., Golembo V. Applying intelligent technologies of data acquisition to autonomous cyber-physical systems. Lviv Polytechnic National University Institutional Repository, № 830, 2015, стр. 7-11 (in Ukrain).
11. Stepashko V., Bulgakova O., Zosimov V. Construction and research of the generalized iterative GMDH algorithm with active neurons. Advances in Intelligent Systems and Computing, vol. 689, 2018, рр. 492-510.
12. Bulgakova O. The concept of constructing an adaptive interface using an inductive approach. Induktivnoe modelirovanie slozhnyh sistem [Inductive modeling of complex systems], pp. 73-78 (in Ukrain)
13. Amplitude. Analytics for modern product teams. Available at: https://amplitude.com/, accessed 02.05.2017.
14. Mixpanel. Product and User Analytics for Mobile, Web, and Beyond. Available at: https://mixpanel.com/, accessed 02.05.2017.
Review
For citations:
Zosimov V.V., Khrystodorov O.V., Bulgakova O.S. Dynamically changing user interfaces: software solutions based on automatically collected user information. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2018;30(3):207-220. (In Russ.) https://doi.org/10.15514/ISPRAS-2018-30(3)-15
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