Amal Abdulrahman
Papers
1
Total Citations
13
H-Index
1
About
Amal Abdulrahman is a leading researcher in human-computer interaction, with a primary focus on the design, evaluation, and social impact of artificial social agents (ASAs)—including virtual assistants, conversational agents, and social robots. Her most notable contribution is the development and validation of the Artificial Social Agent Questionnaire (ASAQ), a standardized instrument that enables researchers to reliably measure human interaction experiences with diverse ASAs across different contexts. This work, published in 2025 and already garnering 13 citations, addresses a critical gap in the field by providing a validated tool for replicating findings and comparing studies, thereby strengthening the empirical foundation of ASA research. Abdulrahman’s efforts are pivotal in moving the discipline toward more rigorous, reproducible science. Her research not only advances methodological standards but also deepens our understanding of how people perceive and engage with increasingly prevalent social technologies. For students and researchers, her work offers a practical framework for investigating the nuanced dynamics of human-agent interaction, making her a key figure in shaping the future of socially intelligent systems.
Research Focus
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Top Papers
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