DOI QR코드

DOI QR Code

Opportunities and prospects for personalizing the user interface of the educational platform in accordance with the personality psychotypes

  • Chemerys, Hanna Yu. (Department of Design, Zaporizhzhia National University) ;
  • Ponomarenko, Olga V. (Department of Social Pedagogy and Special Education, Zaporizhzhia National University)
  • Received : 2020.12.27
  • Accepted : 2021.01.07
  • Published : 2022.04.25

Abstract

The article is devoted to the actual problem of studying the possibilities of implementing personalization of the user interface in accordance with the personality psychotypes. The psychological aspect of user interface design tools is studied and the correspondence of their application to the manifestations of personality psychotypes is established. The results of the distribu-tion of attention of users of these categories on the course page of the educational platform are presented and the distribution of attention in accordance with the focus on educational material is analyzed. Individual features and personal preferences regarding the used design tools are described, namely the use of accent colors in interface design, the application of the prin-ciples of typographic hierarchy, and so on. In accordance with this, the prospects for implementing personalization of the user interface of the educational platform are described. The results of the study allow us to state the relevance of developing and applying personalization of the user interface of an educational platform to improve learning outcomes in accordance with the psychological impact of individual design tools, and taking into account certain features of user categories. The research is devoted to the study of user attention concentration using heatmaps, in particular based on eyetreking technology, we will investigate the distribution of user attention on the course page of an educational platform Ta redistribution of atten-tion in accordance with certain categories of personality psychotypes. The results of the study can be used to rearrange the LMS Moodle interface according to the user's psychotype to achieve the best concentration on the training material. The obtained data are the basis for developing effective user interfaces for personalizing educational platforms to improve the quality of the education.

Keywords

References

  1. Abdelaziz H.F. and Walid T. (2017), "Evaluation of current practice and associated challenges towards integrated design", Adv. Comput. Des., 2(2), 89-105. http://doi.org/10.12989/acd.2017.2.2.089.
  2. Anderson, S.P. (2011), Seductive Interaction Design: Creating Playful, Fun, and Effective User Experiences, Portable Document, Pearson Education, Melbourne, Australia.
  3. Bangor, A., Kortum, P.T. and Miller, J.T. (2008), "An empirical evaluation of the system usability scale", Int. J. Human Computer Interact., 24(6), 574-594. https://doi.org/10.1080/10447310802205776.
  4. Bergstrom, J.R. and Schall, A. (2014), Eye Tracking in User Experience Design, Elsevier.
  5. Brooke, J. (1996), Sus-A Quick and Dirty Usability Scale in Usability Evaluation in Industry, Taylor & Francis, London, U.K.
  6. Campos, J. C. and Martins, F.M. (1996), "Context sensitive user interfaces", Proceedings of the BCS-FACS Workshop on Formal Aspects of the Human Computer Interface (FAC), London, U.K. http://doi.org/10.14236/ewic/FAC1996.5.
  7. Chemerys, H. Yu. (2019), "The importance of empathy and reflection in the user interface design process", Proceedings of the Information Technology in Culture, Art, Education, Science, Economics and Business: Materials International Scientific-Practical Conference, Kyiv, Ukraine.
  8. Chemerys, H., Osadcha, K., Osadchyi, V., Naumuk, I.M. and Ustiuhova, H. (2020), "Analysis of ergonomic indicators and compliance with the principles of the instructional design of education courses in adaptive learning systems", CEUR Workshop Proceedings, 2732, 619-633.
  9. Chemerys, H.Y. (2021), "UX / UI Design", Zaporizhzhia National University, Zaporizhzhia, Ukraine.
  10. Chemerys, H., Vynogradova, A, Briantseva, H. and Sharov, S. (2021), "Strategy for implementing immersive technologies in the professional training process of future designers", J. Phys., 1933, 012046. https://doi.org/10.1088/1742-6596/1933/1/012046.
  11. Chin, J.P., Diehl, V.A. and Norman, K.L. (1988), "Development of an instrument measuring user satisfaction of the human-computer interface", Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 213-218. https://doi.org/10.1145/57167.57203.
  12. Compton, N.H. (1962), "Personal attributes of color and design preferences in clothing fabrics", J. Psychol., 54(1), 191-195. https://doi.org/10.1080/00223980.1962.9713108.
  13. Cronbach, L.J. (1951), "Coefficient alpha and the internal structure of tests", Psychometrika, 16(3), 297-334. https://doi.org/10.1007/BF02310555
  14. Denecke, K., May, R. and Deng, Y. (2019), "Towards emotion-sensitive conversational user interfaces in healthcare applications", Stud. Health Technol. Inform., 264, 1164-1168. https://doi.org/10.3233/SHTI190409.
  15. Dix, A., Catarci, T., Habegger, B., loannidis, Y., Kamaruddin, A., Katifori, A., Lepouras, G. and RamdunyEllis, D. (2006), "Intelligent context-sensitive interactions on desktop and the web", Proceedings of the International Workshop in Conjunction with AVI 2006 on Context in Advanced Interfaces, Venice, Italy, May. https://doi.org/10.1145/1145706.1145710.
  16. Dyagileva, O., Masonkova, M., Paziak, A., Yurzhenko, A and Striuk, A. (2021), "Intelligent information technology in the system of teachers' advanced training", Proceedings of the 1st International Workshop on Information Technologies: Theoretical and Applied Problems, Ternopil, Ukraine, November.
  17. Get Mental Notes (2013), Get Mental Notes; Stephen P. Anderson, Dallas, USA. http://getmentalnotes.com.
  18. Glinert, E.M. (2008), "The human controller: usability and accessibility in video game interfaces", Dr. Sc. Thesis, Massachusetts Institute of Technology, Massachusetts, U.S.A.
  19. Gorelova, I.V. and Arpentieva, M.R. (2018), "Problems of context and conceptual management", Public Manag., 4, 101-113.
  20. Keirsey (2010), Keirsey Temperament Assessment; The Keirsey Group, USA. https://keirsey.com.
  21. Kaveh, A. and Bakhshpoori, T. (2016), "An efficient multi-objective cuckoo search algorithm for design optimization", Adv. Comput. Des., 1(1), 87-103. https://doi.org/10.12989/ACD.2016.1.1.087.
  22. Kim, J.O., Mueller, C.W., Clecka, W.R., Oldenderfer, M.S. and Blashfield, R.K. (1989), Factorial, Discriminant and Cluster Analysis, Finance and statistics, Moscow, Russia.
  23. Kim, B. and Lee, Y. (2017), "Genetic algorithms for balancing multiple variables in design practice", Adv. Comput. Des., 2(3), 241-256. https://doi.org/10.12989/ACD.2017.2.3.241.
  24. Kirakowski, J. and Corbett, M. (1993), "SUMI: The software usability measurement inventory", Brit. J. Educ. Technol., 24(3), 210-212. https://doi.org/10.1111/j.1467-8535.1993.tb00076.x.
  25. Kiv, A.E., Soloviev, V.N., Semerikov, S.O., Danylchuk, H.B., Kibalnyk, L.O., Matviychuk, A.V. and Striuk, A.M. (2021), "Machine learning for prediction of emergent economy dynamics", Proceedings of the 9th International Conference on Monitoring, Modeling & Management of Emergent Economy, Odessa, Ukraine, May.
  26. Kompaniets, A. and Chemerys, H. (2019), "Generalization of the experience of using research on psychology of behavior for designing UX design software products", Ukrainian J. Educ. Stud. Inform. Technol., 7(3), 1-10. https://doi.org/10.32919/uesit.2019.03.01.
  27. Krouska A., Troussas C., and Sgouropoulou C. (2020), "A personalized brain-based quiz game for improving students' cognitive functions", Proceedings of the International Conference on Brain Function Assessment in Learning, Crete, Greece, October. https://doi.org/10.1007/978-3-030-60735-7_11.
  28. Lewis, J.R. (1995), "IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use", Int. J. Human Computer Interact., 7(1), 57-78. https://doi.org/10.1080/10447319509526110.
  29. Lewis, J.R. and Sauro, J. (2009), "The factor structure of the system usability scale", Proceedings of the International Conference on Human Centered Design, Berlin, Germany, 94-103. https://doi.org/10.1007/978-3-642-02806-9_12.
  30. Mahnke, F.H. (1996), Color, Environment, and Human Response: An Interdisciplinary Understanding of Color and Its Use as a Beneficial Element in the Design of the Architectural Environment, John Wiley & Sons.
  31. Nahuis, R., Moors, E.H. and Smits, R.E. (2012), "User producer interaction in context", Technol. Forecast. Social Change, 79(6), 1121-1134. https://doi.org/10.1016/j.techfore.2012.01.005.
  32. Nasledov, A.D. (2004), "Mathematical methods of psychological research", Analysis and Interpretation of Data, 2004, 388.
  33. Nielsen, J. (2000), Designing Web Usability, New Riders Publishing Indianapolis, U.S.A.
  34. Papakostas, C., Troussas, C., Krouska, A. and Sgouropoulou, C. (2021), "Measuring user experience, usability and interactivity of a personalized mobile augmented reality training system", Sensors, 21, 3888. https://doi.org/10.3390/s21113888.
  35. Polzin, T.S. and Waibel, A. (2000), "Emotion-sensitive human-computer interfaces", Proceedings of the ISCA tutorial and research workshop (ITRW) on speech and emotion, Newcastle, U.H., September.
  36. Pham, A.H. (2016), "Discrete optimal sizing of truss using adaptive directional differential evolution", Adv. Comput. Des., 1(3), 275-296. https://doi.org/10.12989/ACD.2016.1.3.275.
  37. Rodemann, P. (1999), Patterns in Interior Environments: Perception, Psychology, and Practice, John Wiley & Sons.
  38. Roy, S., Sethuraman, R. and Saran, R. (2016), "The effect of demographic and personality characteristics on fashion shopping proneness", Int. J. Retail Distribut. Manage., 44(4), 426-447. https://doi.org/10.1108/IJRDM-12-2014-0162.
  39. Sandoval, C.A.O., Tizani, W. and Koch, C. (2018), "A method for discrete event simulation and building information modelling integration using a game engine", Adv. Comput. Des., 3(4), 405-418. https://doi.org/10.12989/ACD.2018.3.4.405.
  40. Schmitt, N. (1996), "Uses and abuses of coefficient alpha", Psychol. Assess., 8(4), 350-353. https://doi.org/10.1037/1040-3590.8.4.350.
  41. Sharov, S., Lubko, D., Lomeiko, O., Chemerys, H. (2021), "Information system for the formation of students' individual educational trajectory", Proceedings of the 1st International Conference on Education, Humanities, Health and Agriculture, Flores, Indonesia, June. http://doi.org/10.4108/eai.3-6-2021.2311038.
  42. Sutcliffe, A. (2017), "Designing user interfaces in emotionally-sensitive applications", Proceedings of the 16th IFIP TC 13 International Conference, Mumbai, India, September. https://doi.org/10.1007/978-3-319-67687-6_27.
  43. Swami, V., Malpass, F., Havard, D., Benford, K., Costescu, A., Sofitiki, A. and Taylor, D. (2013), "Metalheads: The influence of personality and individual differences on preference for heavy metal", Psychol. Aesthet. Creativity Arts, 7(4), 377-383. https://doi.org/10.1037/a0034493.
  44. Troussas, C., Krouska, A. and Sgouropoulou, C. (2020), "Collaboration and fuzzy-modeled personalization for mobile game-based learning in higher education", Comput. Educat., 144, 103698. https://doi.org/10.1016/j.compedu.2019.103698.
  45. Vanderdonckt, J., Grolaux, D., Van Roy, P., Limbourg, Q., Macq, B. and Michel, B. (2005), "A design space for context-sensitive user interfaces", IASSE, 207-214.
  46. Zheng, M., Ormandjieva, O. and Fan, H. (2015), "Designing context sensitive mobile user interface", Proceedings of the International Conference on Software Engineering Research and Practice (SERP), Athens, Greece.