SDLC Waterfall Model Approach for Human Engineering through Cognitive Walkthrough
- DOI
- 10.2991/978-94-6463-718-2_146How to use a DOI?
- Keywords
- Human Engineering; Psychology; SDLC; Cognitive Walkthrough
- Abstract
Human Engineering is a futuristic concept that leverages structured methodologies by using computer science methods on Humans. As, an example using Waterfall model of the Software Development Life Cycle (SDLC) gained some ideas that can be applied on human learning by cognitive psychological training. The aim is to enhance the ability of individuals to match Decision making speed and accuracy of an AI (Artificial Intelligence) and grow side-by-side as enhanced humans. This research proves cognitive training is the only way to improve human performance on par with Artificial Intelligence. By using, the classical waterfall model it is easy to begin this work, as it is step by step process though time taken for completion would be higher. Since many people are relying on AI today, using computer methodology for improving human performance would be welcoming in this modern world. No enhancement drugs or chip implant for this proposed methodology.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Vincent Gnanaraj AU - Chenni Kumaran AU - Christina Febiula AU - Naveen Kumar AU - Sivaram Murugan PY - 2025 DA - 2025/05/23 TI - SDLC Waterfall Model Approach for Human Engineering through Cognitive Walkthrough BT - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) PB - Atlantis Press SP - 1762 EP - 1775 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-718-2_146 DO - 10.2991/978-94-6463-718-2_146 ID - Gnanaraj2025 ER -