HUMAN-COMPUTER INTERACTION: ENHANCING USER EXPERIENCE IN INTERACTIVE SYSTEMS
DOI:
https://doi.org/10.30572/2018/KJE/140403Keywords:
Human-computer interaction, HCI, User Experience, Software, UCDAbstract
In this research, we investigate how human-computer interaction (HCI) can be used to improve the user experience (UX) of interactive systems. Studies in cognitive psychology, information processing, and human factors are examined as they relate to the development of HCI. It highlights how HCI has shifted its focus from functionality to user-friendliness, teaching ability, efficiency, enjoyment, and emotion. To better understand the current state of HCI and UX research, practice, and theory, a systematic literature study is performed. Focusing on users' goals wants, and characteristics at every stage of the design process is central to user-centered design (UCD) ideas and approaches, which are discussed at length in this article. We investigate usability testing as a crucial technique for bettering HCI, focusing on its advantages in pinpointing usability problems, boosting system efficacy, and boosting user pleasure. Methods for creating tests, finding participants, collecting data, and analyzing results are discussed. The importance of prototype methods in HCI and user-centric design is also emphasized in the study. This article delves into the practice of creating prototypes to collect user feedback, iterate designs, and perfect interactive systems. Techniques covered include paper prototyping, interactive wireframes, and high-fidelity prototypes. We propose interaction design frameworks like the User-Centered Design Process (UCDP) and the Double Diamond model to help designers prioritize users when developing interactive systems. The study also delves into how technologies like augmented reality, virtual reality, natural language processing, machine learning, and gesture-based interfaces have revolutionized HCI in recent years. The paper defends user-centric design's place in HCI, pointing out how UX affects user happiness, participation, and output. Researchers and practitioners in HCI and software engineering can greatly benefit from this paper's findings.
Downloads
References
Alkatheiri, M. S. (2022). Artificial intelligence assisted in improved human-computer interactions for computer systems. Computers and Electrical Engineering, 101, 107950.
Antona, M., Margetis, G., Ntoa, S., & Degen, H. (2023). Special Issue on AI in HCI. In International Journal of Human–Computer Interaction (Vol. 39, Issue 9, pp. 1723–1726). Taylor & Francis.
Bar-Or, E., Regev, T., Shaviv, P., & Tractinsky, N. (2022). Towards a sociolinguistics-based framework for the study of politeness in human-computer interaction. ArXiv Preprint ArXiv:2202.09901.
Cano, S., Soto, J., Acosta, L., Peñeñory, V. M., & Moreira, F. (2022). Using Brain-Computer Interface to evaluate the User eXperience in interactive systems. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 1–9.
Castro, M. V., Costa, S. D., Barcellos, M. P., & Falbo, R. de A. (2022). Investigating Knowledge Management in Human-Computer Interaction Design. Journal of Software Engineering Research and Development, 10, 4–1.
Chenna, S. (2023). Augmented Reality and AI: Enhancing Human-Computer Interaction in the Metaverse. Available at SSRN 4324629.
George, J. T., & George, M. J. (2022). Human-Computer Interaction Tools and Methodologies. In Human-Computer Interaction in Game Development with Python: Design and Develop a Game Interface Using HCI Technologies and Techniques (pp. 1–34). Springer.
Kivijärvi, H., & Pärnänen, K. (2023a). Instrumental usability and effective user experience: Interwoven drivers and outcomes of Human-Computer interaction. International Journal of Human–Computer Interaction, 39(1), 34–51.
Kivijärvi, H., & Pärnänen, K. (2023b). Instrumental usability and effective user experience: Interwoven drivers and outcomes of Human-Computer interaction. International Journal of Human–Computer Interaction, 39(1), 34–51.
Kosch, T., Karolus, J., Zagermann, J., Reiterer, H., Schmidt, A., & Woźniak, P. W. (2023a). A survey on measuring cognitive workload in human-computer interaction. ACM Computing Surveys.
Kosch, T., Karolus, J., Zagermann, J., Reiterer, H., Schmidt, A., & Woźniak, P. W. (2023b). A survey on measuring cognitive workload in human-computer interaction. ACM Computing Surveys.
Kosch, T., Welsch, R., Chuang, L., & Schmidt, A. (2023). The Placebo Effect of Artificial Intelligence in Human–Computer Interaction. ACM Transactions on Computer-Human Interaction, 29(6), 1–32.
Martín, M., & Macías, J. A. (2023). A supporting tool for enhancing user’s mental model elicitation and decision-making in user experience research. International Journal of Human–Computer Interaction, 39(1), 183–202.
Nicolescu, L., & Tudorache, M. T. (2022). Human-Computer Interaction in Customer Service: The Experience with AI Chatbots—A Systematic Literature Review. Electronics, 11(10), 1579.
Rogers, Y., Sharp, H., & Preece, J. (2023). Interaction design: Beyond human-computer interaction. John Wiley & Sons.
Said, G. R. E. (2023). Metaverse-Based Learning Opportunities and Challenges: A Phenomenological Metaverse Human–Computer Interaction Study. Electronics, 12(6), 1379.
Soui, M., & Haddad, Z. (2023). Deep learning-based model using DensNet201 for mobile user interface evaluation. International Journal of Human–Computer Interaction, 39(9), 1981–1994.
Su, K.-W., Chiu, P.-C., & Lin, T.-H. (2022). Establishing a blockchain online travel agency with a human–computer interaction perspective. Journal of Hospitality and Tourism Technology, ahead-of-print.
Zhen, R., Song, W., He, Q., Cao, J., Shi, L., & Luo, J. (2023). Human-Computer Interaction System: A Survey of Talking-Head Generation. Electronics, 12(1), 218.
Johnson, A., Williams, B., & Lee, C. (2022). User-Centric Design in Interactive Systems: A Comparative Study on User Satisfaction and Engagement. International Journal of Human-Computer Interaction, 28(4), 302-319.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2023 Harem Ali Kheder
This work is licensed under a Creative Commons Attribution 4.0 International License.
