Abstract
Human-Computer Interaction: It is the ability to use the computer interface (almost all software where we can visually click on buttons or menus and write text) that enables communication with the user and the computer. The human factor plays a big role in this field, as it does in every field. The most basic subject that instructional technologists work on is the design and development of educational products and programs that will support learners effectively, efficiently and satisfied and increase their performance. Compared to the past, significant changes have occurred in this regard, and information technologies have become more involved. Human Computer Interaction (HCI) is one of the most important tools of instructional technologists at this point. They can create more effective and satisfying learning environments by using it in their projects in the most effective way. In this article, Analysis of Intelligent Interfaces Based on Fuzzy Logic in Human-Computer Interaction has been applied.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
May, J.: Human-Comput. Interfac. (2015). https://doi.org/10.1016/B978-0-08-097086-8.95072-4
Cagiltay, K.: Human computer interaction and instructional technologies (in Turkish). Fund. Instruct. Technol.: Theor. Res. Trends (2016). https://doi.org/10.14527/9786053644576.18
Zhang, E.Y.: Populist human-computer interface. Anal. Curr. Fut. Global Trends Populism (2022). https://doi.org/10.4018/978-1-7998-4679-6.ch007
Cagiltay, N., Gurcan, F., Cagiltay, K.: Map** human–computer interaction research themes and trends from its existence to today: a topic modeling-based review of past 60 years. Int. J. Human-Comput. Interact. 37(4) (2020). https://doi.org/10.1080/10447318.2020.1819668
Goswami, L.: Human computer interface using electrooculogram as a substitute. In: International Conference Intelligent. Emerging Methods of Artificial Intelligent Cloud Computer, (2022). https://doi.org/10.1007/978-3-030-92905-3_21
Valiyev, A., Imamguluyev, R., Ilkin, G.: Application of fuzzy logic model for daylight evaluation in computer aided interior design areas. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., M., Jamshidi, Babanli, M., Sadikoglu, F.M. (eds.) ICAFS 2020. AISC, vol. 1306, pp. 715–722. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-64058-3_89
Imamguluyev, R.: Application of fuzzy logic model for correct lighting in computer aided interior design areas. In: Kahraman, C., Cevik Onar, S., Oztaysi, B., Sari, I.U., Cebi, S., Tolga, A.C. (eds.) INFUS 2020. AISC, vol. 1197, pp. 1644–1651. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-51156-2_192
Abdullayev, T., Imamguluyev, R., Umarova, N.: Application of fuzzy logic model for optimal solution of light reflection value in lighting calculations. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Mo., Jamshidi, Babanli, M., Sadikoglu, F.M. (eds.) ICSCCW 2021. LNNS, vol. 362, pp. 384–391. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-92127-9_53
Imamguluyev, R.: Determination of correct lighting based on fuzzy logic model to reduce electricity in the workplace. In: International Conference on Eurasian Economies, Baku, Azerbaijan (2020). https://doi.org/10.36880/C12.02456
Aliev, R., Tserkovny, A.: Fuzzy logic for incidence geometry. In: Kosheleva, O., Shary, S.P., **ang, G., Zapatrin, R. (eds.) Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications. SCI, vol. 835, pp. 49–85. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-31041-7_4
Zadeh, L.A., Aliev, R.A.: Fuzzy logic Theory and Applications. Part I and Part II, p. 610. World Sci., Singapore (2019)
Zadeh, L.A.: Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets Syst. 90, 111–127 (1997)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Imamguluyev, R., Aliyeva, A. (2023). Analysis of Intelligent Interfaces Based on Fuzzy Logic in Human-Computer Interaction. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M.B., Sadikoglu, F. (eds) 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. ICAFS 2022. Lecture Notes in Networks and Systems, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-031-25252-5_94
Download citation
DOI: https://doi.org/10.1007/978-3-031-25252-5_94
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-25251-8
Online ISBN: 978-3-031-25252-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)