Cecily Morrison

Papers

Total Citations

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About

Cecily Morrison is a leading researcher at the intersection of human-computer interaction, accessibility, and computer vision. Her work focuses on designing inclusive technologies that empower people with disabilities, particularly those who are blind or have low vision. Morrison’s major contributions include pioneering the concept of “teachable object recognition,” where users can train AI systems to recognize personalized objects from just a few examples—a breakthrough that moves beyond traditional data-hungry models. Her most-cited paper, “ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition” (2021, 32 citations), provides a benchmark dataset that enables real-world applications in robotics and user personalization. This work has been instrumental in making AI more adaptive and accessible, allowing users to customize object recognition to their unique needs. Morrison’s impact is evident in the growing citation count of her research, which has influenced both academic and industrial efforts in inclusive AI design. She is also recognized for her leadership in Microsoft Research’s Ability team, where she drives projects that blend technical innovation with deep empathy for end-users. Her achievements highlight a commitment to creating technology that truly serves diverse human experiences.