Comparative Study of Intelligent Personal Assistants to Explore Usability Issues and their Solutions

Authors

  • Muhammad Tauseef Lecturer, Department of Computer Science, Federal Urdu University of Arts Science & Technology, Karachi, Pakistan
  • Muhammad Abid Khan Lecturer, Department of Computer Science, Federal Urdu University of Arts Science & Technology, Karachi, Pakistan
  • Syed Adeel Ali Lecturer, Department of Computer Science, Federal Urdu University of Arts Science & Technology, Karachi, Pakistan

DOI:

https://doi.org/10.5281/zenodo.10644281

Keywords:

Artificial Intelligence, Software Agents, Intelligent Personal Assistants, Software Assistants

Abstract

In today technological world we can easily accessed on to the desired information through Intelligent Personal Assistants. These Intelligent Personal Assistants performs concierge-type tasks or provides input based on voice inputs or commands. We found still other issues related to the intelligent Personal Assistants published during our study 1) IPA security needs to be done in order to enhance the system intelligence. 2) Voice recognition sometimes fails to recognize voice. 3) IPA intelligence will be challenged if learning and suggestions failed. 4) Set standards between personal and professional tasks. 5) IPA has to go through intense knowledge that’s helps react when user is not available to perform task in his absence. 6) Improvement in IPAs in terms of the context awareness IPAs. 7) IPA intense knowledge that’s helps react when user is not available to perform task. In this paper we will explore the mentioned usability issues of Intelligent Personal Assistants with their suggested solutions. Our focus is only to provide the concept and idea and maybe there is need to explore each of the issue in detail in future aspects.

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Published

10-02-2024

How to Cite

[1]
M. Tauseef, M. A. Khan, and S. A. Ali, “Comparative Study of Intelligent Personal Assistants to Explore Usability Issues and their Solutions”, IJRESM, vol. 7, no. 2, pp. 11–14, Feb. 2024.

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Section

Articles