Reem Ayad

University of Toronto

Papers

2

Total Citations

49

H-Index

2

About

Reem Ayad investigates the intersection of human-robot interaction and software engineering, with a focus on trust, ethics, and normative requirements. Her work bridges psychology and technology, exploring how the design of robots influences human trust—a critical factor for adoption in sensitive domains like healthcare and transportation. Her most-cited paper, “Identifying psychological features of robots that encourage and discourage trust” (2022, 36 citations), identifies key design elements that shape user confidence, offering actionable insights for developers. Ayad also advances the formal analysis of software systems through her 2024 paper on “Analyzing and Debugging Normative Requirements via Satisfiability Checking” (13 citations), which addresses the challenge of embedding social, legal, ethical, empathetic, and cultural (SLEEC) norms into autonomous systems. This work provides tools to verify that software respects human values, a pressing need as AI becomes more pervasive. With a growing citation record and a focus on trust and normative compliance, Ayad is shaping responsible AI design, ensuring that future technologies are both reliable and ethically aligned.

Research Focus

Key Achievements

2
H-Index
2
Papers
49
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Identifying psychological features of robots that encourage and discourage trust
36 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: University of Toronto

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago