Examining the Influence of Interactive Artificial Intelligence Platforms on Individuals' Daily Decision-Making
DOI:
https://doi.org/10.61704/jpr.v25i2.pp32-39Keywords:
Interactive AI, Everyday Decisions, Trust, Usage, Decision QualityAbstract
This study aims to investigate the impact of interactive artificial intelligence platforms on the quality of daily decisions among individuals, focusing on the role of trust in these platforms as a mediating variable. The study used the descriptive-analytical approach, and data were collected from a sample of (100) university students from various disciplines. The study relied on a questionnaire that included three main axes: level of use, trust in the platform, and quality of daily decisions.
The results of the statistical analysis revealed a high level of use of interactive platforms among sample members, and a strong, statistically significant relationship between use and trust, and between trust and decision quality. The results also showed that the impact of platforms does not vary based on demographic characteristics, reinforcing the notion of a comprehensive impact.
The study concluded that interactive AI platforms are an effective tool in supporting individuals' daily decisions, provided they are used consciously and in a balanced manner. It recommended enhancing users' digital awareness and incorporating educational content on AI into university programs.
References
Al Kuwaiti, A., Nazer, K., Al-Reedy, A., Al-Shehri, S., Al-Muhanna, A., Subbarayalu, A. V., ... & Al-Muhanna, F. A. (2023). A review of the role of artificial intelligence in healthcare. Journal of personalized medicine, 13(6), 951. https://doi.org/10.3390/jpm13060951
Chong, L., Zhang, G., Goucher-Lambert, K., Kotovsky, K., & Cagan, J. (2022). Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice. Computers in Human Behavior, 127, 107018. https://doi.org/10.1016/j.chb.2021.107018
Collins, C., Dennehy, D., Conboy, K., & Mikalef, P. (2021). Artificial intelligence in information systems research: A systematic literature review and research agenda. International Journal of Information Management, 60, 102383. https://doi.org/10.1016/j.ijinfomgt.2021.102383
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda. International journal of information management, 48, 63-71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021
Ergazakis, E., Ergazakis, K., Metaxiotis, K., Bellos, E., & Leopoulos, V. (2008). An ai-based decision support system for designing knowledge-based development strategies. International journal of intelligent systems technologies and applications, 5(1-2), 201-233. https://doi.org/10.1504/IJISTA.2008.018174
Jorzik, P., Klein, S. P., Kanbach, D. K., & Kraus, S. (2024). AI-driven business model innovation: A systematic review and research agenda. Journal of business research, 182, 114764. https://doi.org/10.1016/j.jbusres.2024.114764
Jasim, Y. A., Saeed, M. G., & Raewf, M. B. (2022). Analyzing social media sentiment: twitter as a case study. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 11(4), 427-450. https://doi.org/10.14201/adcaij.28394
Karem, M. A., Raewf, M. B., Thabit, T. H., & Shakir, R. M. (2022). The factors that influence knowledge sharing in educational institutions. Cihan University-Erbil Journal of Humanities and Social Sciences, 6(1), 69-74. https://doi.org/10.24086/cuejhss.v6n1y2022.pp69-74
Quach, S., Thaichon, P., Martin, K. D., Weaven, S., & Palmatier, R. W. (2022). Digital technologies: tensions in privacy and data. Journal of the Academy of Marketing Science, 50(6), 1299-1323. https://doi.org/10.1007/s11747-022-00845-y
Raewf, M., Aissa, S. A. H., & Thabit, T. (2021). The impact of quality, cost, and lead time on competitive advantage: Case of SMEs operating in Iraq. Economic Studies Journal, 19(03).
Shanmugasundaram, M., & Tamilarasu, A. (2023). The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review. Frontiers in Cognition, 2, 1203077. https://doi.org/10.3389/fcogn.2023.1203077
Tawfeeq, T. M., Awqati, A. J., & Jasim, Y. A. (2023). The ethical implications of chatgpt ai chatbot: A review. JMCER, 2023, 49-57.
Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review. Smart Learning Environments, 11(1), 28. https://doi.org/10.1186/s40561-024-00316-7
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Journal of Prospective Researches

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright © 2025 by the authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). You may not alter or transform this work in any way without permission from the authors. Non-commercial use, distribution, and copying are permitted, provided that appropriate credit is given to the authors and Al-Hadba University.