Lisa Feigenbaum

Title: Lisa Feigenbaum: Innovator in Data Entry Technologies

Introduction

Lisa Feigenbaum is a prominent inventor based in Bellevue, WA (US). She has made significant contributions to the field of data entry technologies, holding a total of 3 patents. Her work focuses on enhancing user experience and efficiency in data entry environments.

Latest Patents

One of her latest patents is titled "Symbol lists for grammar-driven data entry." This invention addresses the challenges faced in data entry environments constrained by symbolic grammar. It allows for the insertion of a subset of symbols that comply with the grammar, facilitating grammatically correct data entry. The symbol list presented in this patent indicates valid symbols for the data entry position and the possibility of inserting values. Additionally, it includes various selection inputs to streamline the data entry process.

Another notable patent is "Visualization techniques for imprecise statement completion." This invention enhances the auto-complete feature in applications by providing users with estimations of the complete terms they are attempting to enter. It also offers visualization to indicate the likelihood that the estimation aligns with the user's intent, along with a rationale for the provided estimation.

Career Highlights

Lisa Feigenbaum is currently employed at Microsoft Technology Licensing, LLC, where she continues to innovate and develop new technologies. Her work has significantly impacted the way users interact with data entry systems, making them more intuitive and efficient.

Collaborations

Throughout her career, Lisa has collaborated with notable colleagues, including Avner Y Aharoni and David N Schach. These collaborations have contributed to the advancement of her inventions and the overall improvement of data entry technologies.

Conclusion

Lisa Feigenbaum is a trailblazer in the field of data entry technologies, with her innovative patents paving the way for more efficient user experiences. Her contributions continue to shape the future of data entry systems.