Exploring Learning Paths: Understanding the Learning Strategies of Artificial Intelligence System Users and Their Involvement in Social Forums

Authors

Tauseef Ibne Mamun, University of Pennsylvania
Shane Mueller, Michigan Technological UniversityFollow

Document Type

Article

Publication Date

11-2024

Department

Department of Psychology and Human Factors

Abstract

In the last decade, there has been a significant increase in the use of commercial semi-autonomous vehicles by consumers. This has led to a surge in concerns among users about the limitations of these systems, especially when it comes to safety. In order to address these concerns, users often seek out diverse educational resources to comprehend these constraints, explore alternatives, and determine whether their experiences are representative. This paper examines the viewpoints of users who are using a new AI system that has received minimal training from the vendor. We conducted interviews of the users of the AI to examine the many sources from which users obtain knowledge and developed a learning technology-based framework that utilizes technology to disseminate knowledge among users of the AI.

Publisher's Statement

© 2024 Human Factors and Ergonomics Society. Publisher’s version of record: https://doi.org/10.1177/10711813241260668

Publication Title

Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Recommended Citation

Mamun, T., & Mueller, S. (2024). Exploring Learning Paths: Understanding the Learning Strategies of Artificial Intelligence System Users and Their Involvement in Social Forums. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 68(1), 1501-1506. http://doi.org/10.1177/10711813241260668
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/1476

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Version

Publisher's PDF