David John Lemay

McGill University

Papers

1

Total Citations

42

H-Index

1

About

David John Lemay is a researcher whose work bridges the psychology of technology adoption and the societal implications of artificial intelligence. His primary research areas include AI anxiety, technology readiness, and human-computer interaction, with a focus on understanding how individuals perceive and respond to emerging technologies. His most-cited study, "Fearing the Robot Apocalypse: Correlates of AI Anxiety" (2020, 42 citations), is a seminal cross-sectional investigation that surveyed 65 college students, employing partial least squares analysis to reveal how beliefs about AI correlate with anxiety levels and technology readiness. This work provides critical insights into the psychological barriers to AI acceptance, offering a foundation for designing more user-friendly and ethically responsible AI systems. Lemay’s contributions are notable for their interdisciplinary approach, combining quantitative rigor with real-world relevance. His research has been cited by scholars exploring technology adoption, AI ethics, and educational technology, underscoring its impact on both academic discourse and practical applications. Lemay’s work continues to shape conversations around the human side of technological progress, making him a key voice in understanding the nuanced relationship between people and the machines they create.

Research Focus

Key Achievements

1
H-Index
1
Papers
42
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Fearing the Robot Apocalypse: Correlates of AI Anxiety
42 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: McGill University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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