Abstract
This publication describes techniques aimed at developing improved contextual suggestions for predictive text services (e.g., query suggestion, autosuggest, autocomplete) on computing devices utilizing a weighted, multi-item clipboard function. The techniques incorporate the utilization of machine-learned modules that cooperatively analyze user-attention to on-screen entities, such as images or text, and develop corresponding (weighted) contextual suggestions.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Palm, Jeff, "Utilizing Eye-Tracking to Develop Contextual Suggestions", Technical Disclosure Commons, (August 19, 2019)
https://www.tdcommons.org/dpubs_series/2409
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