Abstract
The variation in user skill level in interacting with software applications and devices presents a challenge in delivering user experiences that cater to diverse needs and abilities. User segmentation models that rely on metrics such as usage frequency and retention do not adequately reflect a user's actual digital proficiency. This disclosure describes a digital proficiency quotient (DPQ) that represents an individual's overall capability and comfort level within the digital realm. With user permission, DPQ is determined based on actual skill sets and behaviors based on data of user interaction with various software applications and devices. DPQ of user is used to personalize digital experiences according to individual proficiency levels, e.g., by providing a user interface of an appropriate complexity level. This approach can help deliver targeted guidance and support, providing more inclusive and effective user experiences. Personalization of user interfaces based on DPQ can improve user engagement, satisfaction, and overall outcomes in digital environments.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Seetharaman, Usha, "Interaction Personalization Based on Digital Proficiency Metrics", Technical Disclosure Commons, (February 04, 2025)
https://www.tdcommons.org/dpubs_series/7806