Resistance to Generative AI Investigating the Drivers of Non-Use

2025

Open publication workspace · Sign in to read the full PDF.

AI-generated summary

1) This study investigates the underlying drivers of post-adoption non-use of Generative AI, helping designers and organizations understand why experienced users actively choose to avoid these tools in specific contexts.
2)
- Employs a mixed-methods approach combining an exploratory qualitative study to identify non-use reasons with a quantitative regression analysis across 20 distinct usage scenarios.
- Identifies primary concerns driving non-use, notably output quality, ethical implications, and the loss of human connection.
- Demonstrates how situational context and individual traits—such as the need for connectedness—significantly shape AI avoidance behaviors.

3) Generative AI, Technology Non-Use, Ethics, Human Connection, Mixed-Methods Research

Check the original publication for accuracy and context.