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ORIGINAL RESEARCH article

Front. Artif. Intell.
Sec. AI for Human Learning and Behavior Change
Volume 7 - 2024 | doi: 10.3389/frai.2024.1398960
This article is part of the Research Topic Human-Centered Artificial Intelligence in Interaction Processes View all articles

Dimensions of artificial intelligence on family communication

Provisionally accepted
Nada Mohammed Alfeir Nada Mohammed Alfeir 1,2*
  • 1 King Abdulaziz University, Jeddah, Saudi Arabia
  • 2 College of Tourism, King Abdulaziz University, Jeddah, Makkah, Saudi Arabia

The final, formatted version of the article will be published soon.

    Introduction: Artificial intelligence (AI) has created a plethora of prospects for communication. The study aims to examine the impacts of AI dimensions on family communication. By investigating the multifaceted effects of AI on family communication, this research aims to provide valuable insights, uncover potential concerns, and offer recommendations for both families and society at large in this digital era. Method: A convenience sampling technique was adopted to recruit 300 participants. Results: A linear regression model was measured to examine the impact of AI dimensions which showed a statistically significant effect on accessibility (p=.001), personalization (p=.001), and language translation (p=.016). Discussion: The findings showed that in terms of accessibility (p=.006), and language translation (p=.010, except personalization (p=.126), there were differences between males and females. However, using multiple AI tools was statistically associated with raising concerns about bias and privacy (p .015), safety, and dependence (p .049) of parents. Conclusion: The results showed a lack of knowledge and transparency about the data storage and privacy policy of AI-enabled communication systems. Overall, there was a positive impact of AI dimensions on family communication.

    Keywords: Dimensions, AI, privacy, Communication, Family, Society & culture

    Received: 11 Mar 2024; Accepted: 23 Aug 2024.

    Copyright: © 2024 Alfeir. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Nada Mohammed Alfeir, King Abdulaziz University, Jeddah, Saudi Arabia

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.