Papers
2
Total Citations
18
H-Index
2
About
Raian Ali is a leading researcher at the intersection of digital behavior, artificial intelligence, and human-computer interaction, with a core focus on understanding and mitigating problematic attachments to technology. His work critically examines how design features in social media and AI systems can foster addictive behaviors, bridging the gap between technical design and psychological well-being. A key contribution is his exploration of how social media’s structural elements—such as sharing and presence features—can lead to compulsive use, a perspective that has influenced both academic discourse and practical design guidelines. His recent work on the role of AI and large language models in understanding addictive behaviors (2025, 9 citations) marks a forward-looking shift, analyzing how general-purpose AI embedded in everyday products may amplify or help regulate these patterns. With papers like “When People are Problematically Attached to Social Media: How Would the Design Matter?” (2019, 9 citations), Ali has consistently highlighted the ethical responsibility of designers. His research is highly cited for its timely relevance, offering actionable insights for creating healthier digital environments.
Research Focus
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Top Papers
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