Study How AI Can be Used to Enhance Cognitive Functions, such as Memory or Problem-Solving, and the Psychological Effects of these Enhancements

Authors

  • Zeeshan Haider Higher Schools of Economics, Moscow Author
  • Aysha Zummer Lahore Garrison University Author
  • Abdul Waheed New York University Author
  • Muhammad Abuzar Department of Computer Science, National College of Business Administration &Economics (Sub Campus) Multan Author

DOI:

https://doi.org/10.61506/01.00485

Keywords:

Cognitive, Anxiety, Reduction, Motivation, Work ethic, Psychological

Abstract

This study examined how AI-based tools affect memory, problem-solving, anxiety, motivation, self-efficacy, and creativity. AI therapies were tested for cognitive improvement and psychological well-being. Problem-solving skills including analytical thinking and decision-making improved, as did short-term memory (22.4 to 29.8) and long-term memory (23.5 to 28.6). Cognitive anxiety dropped from 2.5 to 1.8 and bodily anxiety from 2.3 to 1.8. Task-specific confidence increased from 1.8 to 2.5 and intrinsic motivation from 2.1 to 2.8. Still, inventiveness dropped from 75.2 to 70.1 and work ethic dropped marginally. These findings suggest that AI technologies improve cognitive and emotional well-being but may reduce creativity and work ethic. To comprehend AI's full influence, future study should examine its long-term implications on cognitive and psychological characteristics.

References

Abbas, N., Nasser, Y., & Ahmad, K. E. (2015). Recent advances on artificial intelligence and learning techniques in cognitive radio networks. EURASIP Journal on Wireless Communications and Networking, 2015, 1-20. DOI: https://doi.org/10.1186/s13638-015-0381-7

Atkinson, R. C. (1968). A proposed system and its control processes. The Psychology of Learning and Motivation, 2. DOI: https://doi.org/10.1016/S0079-7421(08)60422-3

Baddeley, A. (1974). Psychology of learning and motivation. (No Title), 8, 47. DOI: https://doi.org/10.1016/S0079-7421(08)60452-1

Biber, S. E., & Capasso, M. (2022). The right to mental integrity in the age of Artificial intelligence: Cognitive Human Enhancement Technologies. In Law and Artificial Intelligence: Regulating AI and Applying AI in Legal Practice (pp. 503-519). Springer. DOI: https://doi.org/10.1007/978-94-6265-523-2_25

Borgert, N., Jansen, L., Böse, I., Friedauer, J., Sasse, M. A., & Elson, M. (2024). Self-Efficacy and Security Behavior: Results from a Systematic Review of Research Methods. Proceedings of the CHI Conference on Human Factors in Computing Systems, DOI: https://doi.org/10.1145/3613904.3642432

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. DOI: https://doi.org/10.2307/249008

Fiske, A., Henningsen, P., & Buyx, A. (2019). Your robot therapist will see you now: ethical implications of embodied artificial intelligence in psychiatry, psychology, and psychotherapy. Journal of medical Internet research, 21(5), e13216. DOI: https://doi.org/10.2196/13216

Fulmer, R., Joerin, A., Gentile, B., Lakerink, L., & Rauws, M. (2018). Using psychological artificial intelligence (Tess) to relieve symptoms of depression and anxiety: randomized controlled trial. JMIR mental health, 5(4), e9782. DOI: https://doi.org/10.2196/mental.9782

Graham, S. A., Lee, E. E., Jeste, D. V., Van Patten, R., Twamley, E. W., Nebeker, C., Yamada, Y., Kim, H.-C., & Depp, C. A. (2020). Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review. Psychiatry research, 284, 112732. DOI: https://doi.org/10.1016/j.psychres.2019.112732

Ibrahim, M. M. A., Sumari, P., Keikhosrokiani, P., Almashagba, L. A. G., & Theeb, A. A. (2024). Exploring Emotional Intelligence in Jordan's Artificial Intelligence (AI) Healthcare Adoption: A UTAUT Framework. Journal of Electrical Systems, 20(10s), 502-541. DOI: https://doi.org/10.52783/jes.5143

Jia, X.-H., & Tu, J.-C. (2024). Towards a New Conceptual Model of AI-Enhanced Learning for College Students: The Roles of Artificial Intelligence Capabilities, General Self-Efficacy, Learning Motivation, and Critical Thinking Awareness. Systems, 12(3), 74. DOI: https://doi.org/10.3390/systems12030074

Joksimovic, S., Ifenthaler, D., Marrone, R., De Laat, M., & Siemens, G. (2023). Opportunities of artificial intelligence for supporting complex problem-solving: Findings from a scoping review. Computers and Education: Artificial Intelligence, 4, 100138. DOI: https://doi.org/10.1016/j.caeai.2023.100138

Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O., & Demir Kaya, M. (2024). The roles of personality traits, AI anxiety, and demographic factors in attitudes toward artificial intelligence. International Journal of Human–Computer Interaction, 40(2), 497-514. DOI: https://doi.org/10.1080/10447318.2022.2151730

Khalid, U. b., Naeem, M., Stasolla, F., Syed, M. H., Abbas, M., & Coronato, A. (2024). Impact of AI-powered solutions in rehabilitation process: Recent improvements and future trends. International Journal of General Medicine, 943-969. DOI: https://doi.org/10.2147/IJGM.S453903

Konuk, H., Ataman, G., & Kambur, E. (2023). The effect of digitalized workplace on employees’ psychological well-being: Digital Taylorism approach. Technology in Society, 74(C). DOI: https://doi.org/10.1016/j.techsoc.2023.102302

Kulkarni, M., Mantere, S., Vaara, E., van den Broek, E., Pachidi, S., Glaser, V. L., Gehman, J., Petriglieri, G., Lindebaum, D., & Cameron, L. D. (2024). The future of research in an artificial intelligence-driven world. Journal of Management Inquiry, 33(3), 207-229. DOI: https://doi.org/10.1177/10564926231219622

Lin, P.-Y., Chai, C.-S., Jong, M. S.-Y., Dai, Y., Guo, Y., & Qin, J. (2021). Modeling the structural relationship among primary students’ motivation to learn artificial intelligence. Computers and Education: Artificial Intelligence, 2, 100006. DOI: https://doi.org/10.1016/j.caeai.2020.100006

Majumder, S., & Dey, N. (2022). AI-empowered knowledge management. Springer. DOI: https://doi.org/10.1007/978-981-19-0316-8

Makhataeva, Z., Akhmetov, T., & Varol, H. A. (2023). Augmented Reality for Cognitive Impairments. In Springer Handbook of Augmented Reality (pp. 765-793). Springer. DOI: https://doi.org/10.1007/978-3-030-67822-7_31

Martínez, N., Agudo, U., & Matute, H. (2022). Human cognitive biases present in Artificial Intelligence. Revista Internacional de los Estudios Vascos, 67(2).

Nashwan, A. J., Gharib, S., Alhadidi, M., El-Ashry, A. M., Alamgir, A., Al-Hassan, M., Khedr, M. A., Dawood, S., & Abufarsakh, B. (2023). Harnessing artificial intelligence: strategies for mental health nurses in optimizing psychiatric patient care. Issues in Mental Health Nursing, 44(10), 1020-1034. DOI: https://doi.org/10.1080/01612840.2023.2263579

Neisser, U. (2014). Cognitive psychology: Classic edition. Psychology press. DOI: https://doi.org/10.4324/9781315736174

Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty. Science, 185(4157), 1124-1131. DOI: https://doi.org/10.1126/science.185.4157.1124

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478. DOI: https://doi.org/10.2307/30036540

Yang, Y., Chen, L., He, W., Sun, D., & Salas-Pilco, S. Z. (2024). Artificial Intelligence for Enhancing Special Education for K-12: A Decade of Trends, Themes, and Global Insights (2013–2023). International Journal of Artificial Intelligence in Education, 1-49. DOI: https://doi.org/10.1007/s40593-024-00422-0

Downloads

Published

2024-08-28

Issue

Section

Articles

How to Cite

Haider, Z. ., Zummer, A. ., Waheed, A. ., & Abuzar, M. . (2024). Study How AI Can be Used to Enhance Cognitive Functions, such as Memory or Problem-Solving, and the Psychological Effects of these Enhancements. Bulletin of Business and Economics (BBE), 13(3), 256-263. https://doi.org/10.61506/01.00485