Explicit Knowledge Database Interface Model System Based on Natural Language Processing Techniques and Immersive Technologies

This work is focused on the proposal and de-velopment of an interface system model, based on natural language processing, immersive technologies and natural user interfaces, for the interaction with Explicit Knowledge databases. Five phases were proposed: The user testing characterization, the establishment of the state of the art and the theoretical foundation, the design and development of software, the system implementation and the functional tests and evaluation of the usability of the interface model. In order to establish the user testing characterization and the corresponding theoretical frame-work, the expert guide on Knowledge Management and Virtual Reality was followed, based on the approach of Usability and Computer Ergonomics compatible with the ISO 9241 standard. The traditional interfaces and the proposal in this work were evaluated for each of the metrics defined by the ISO 9241 standard, considering the dimensions of effectiveness, efficiency and satisfaction. The statistical test of “T-Student” established that there is enough evidence to confirm the existence of the following significant differences: Effectiveness is lower using the proposed interface model; efficiency and satisfaction is higher using the proposed interface model. Based on the conducted tests, it can be established that the proposed interface model is superior to the traditional interface in terms of the “Efficiency and Satisfaction” dimensions and inferior in terms of “Effec-tiveness.” Consequently, it can be concluded that the scientific article exploration model using VR and NLP is superior to the traditional model.

@article{Alfaro2023,
  title     = {Explicit Knowledge Database Interface Model System Based on Natural Language Processing Techniques and Immersive Technologies},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {14},
  number    = {11},
  year      = {2023},
  publisher = {The Science and Information Organization},
  author    = {Luis Alfaro and Claudia Rivera and Jose Herrera and Antonio Arroyo and Lucy Delgado and Elisa Castaneda},
  doi       = {10.14569/IJACSA.2023.01411128},
  url       = {https://doi.org/10.14569/IJACSA.2023.01411128}
}