Understanding User Intention in Pervasive Environments: A Literature Review and Perspectives


  • Abdelhadi Bouain A LabSI, Polydisciplinary Faculty of Ouarzazate, Ibnou Zohr University, Morocco.
  • Mohamed Nezar ABOURRAJA Laboratory of Artificial Intelligence Research and Applications (AIRA) Smart Factory and Robotics, Hassan 1 University, Morocco.
  • Mohamed Yassine Samiri Cadi ayyad University, Morocco.


Identifying user intention (what the user wishes to achieve within a system) with minimal or ideally no direct user interaction is a major goal in pervasive computing. Achieving this goal requires a clear and consistent definition of intention, a concept widely used but understood differently across various studies. In this work, we first aim to clarify the different interpretations of intention, distinguishing between implicit and explicit intention. Subsequently, we compare various existing approaches from the literature, seeking to reconcile these diverse viewpoints and establish a common foundation for future research efforts.


Key words: Pervasive computing, User intention, User intent prediction, Multimodal Large Language Models.



Received Date: April 10, 2024                  Accepted Date: May 08, 2024            

Published Date: June 01, 2024

Available Online at: https://www.ijsrisjournal.com/index.php/ojsfiles/article/view/151

DOI: https://doi.org/10.5281/zenodo.11237705




How to Cite

Abdelhadi Bouain, Mohamed Nezar ABOURRAJA, & Mohamed Yassine Samiri. (2024). Understanding User Intention in Pervasive Environments: A Literature Review and Perspectives. International Journal of Scientific Research and Innovative Studies, 3(3), 16–19. Retrieved from https://www.ijsrisjournal.com/index.php/ojsfiles/article/view/151