Abstract
A discovery gap exists where users often fail to recognize that an automated assistant is capable of assisting with tasks during a browsing session. This frequently leads to manual navigation through complex web workflows. To address this, a method is disclosed for the proactive presentation of assistant prompts based on resource locator analysis. Upon navigating to a resource locator or receiving a resource locator via a notification, the target page is analyzed to categorize functional capabilities. If a workflow compatible with an automated assistant is identified, such as a multi-step booking or purchasing process, a context-specific prompt is presented. This prompt is surfaced without prior user initiation, treating the resource locator as a trigger for assistance. Semantic analysis of page structures is used to determine if a site is associated with a specific task. By proactively suggesting executable actions, manual navigation steps are reduced and the availability of assistant functions is made apparent during a browsing flow.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Liu, Yijo; Borg, Carl Magnus; Morris, Tiffany Deonne; Shin, Yeun Su; Walsh, Shadia; Chan, Clifford Tse Yan; Duraiswami, Lily; and Krishna, Golden Gopal, "Proactive Presentation of Automated Assistant Prompts Based on Resource Locator Analysis", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10075