Adjusting user interface for touchscreen and mouse/keyboard environments

1. A method, comprising:

identifying, with one or more processors, an input modality as one or more of a touchscreen-based input modality and a mouse-based input modality;

determining, with the one or more processors, layout features of a user interface of an application on a computing device based on the input modality of the computing device;

obtaining, from a user's interaction with the user interface, usage data including a pattern of clicks, wherein the pattern of clicks comprises respective touch sizes of the clicks;

determining, from the input modality and the usage data of the application, respective importance scores of user interface elements;

determining, from the respective importance scores, respective locations and sizes of each of the user interface elements as an arrangement of the user interface elements;

determining, with the one or more processors, respective click target sizes of the user interface elements;

selecting, with the one or more processors and based on the click target sizes of the user interface elements, the layout features, and the respective importance scores of the user interface elements, a set of user interface elements from the user interface elements; and

providing, for display, the set of user interface elements according to the arrangement.

2. The method of claim 1 , further comprising determining the respective importance scores from one or more of: rules provided by the user, rules provided by a designer of the application, usage data of the application, and usage data of similar applications.

3. The method of claim 1 , further comprising:

identifying the usage data associated with the user interface elements;

one or more of rearranging the set of user interface elements based on the usage data and adjusting the respective click target sizes of the set of user interface elements based on the usage data to obtain rearranged user interface elements; and

providing the rearranged user interface elements for display to the user interface.

4. The method of claim 1 , wherein determining respective locations and sizes of the user interface elements as the arrangement of the user interface elements comprises applying the usage data to a machine-learned model.

5. The method of claim 1 , wherein the usage data further comprises a time log of the user's interaction with the application.

6. The method of claim 1 , wherein the user's interaction with the application further comprises an attention span.

7. The method of claim 1 , wherein the pattern of clicks further comprises one or more of a type of clicking device, a type of selecting mechanism, a number of clicks, a number of failed clicks, and a number of useless clicks.

8. A computing system, comprising:

one or more processors; and

a non-transitory machine-readable medium comprising instructions stored therein, which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

identifying an input modality as one or more of a touchscreen-based input modality and a mouse-based input modality;

determining layout features of a user interface of an application on a computing device based on the input modality of the computing device;

obtaining, from a user's interaction with the user interface, usage data including a pattern of clicks, wherein the pattern of clicks comprises respective touch sizes of the clicks;

determining, from the input modality and the usage data of the application, respective importance scores of the user interface elements;

determining, from the layout features and the respective importance scores, respective locations and sizes of each of the user interface elements as an arrangement of the user interface elements;

determine respective click target sizes of the user interface elements;

select, based on the click target sizes of the user interface elements, the layout features, and the respective importance scores of the user interface elements, a set of user interface elements from the user interface elements; and

providing, for display, the set of user interface elements according to the arrangement.

9. The computing system of claim 8 , wherein the respective importance scores are further based on one or more of: rules provided by the user, rules provided by a designer of the application, usage data of the application, and usage data of similar applications.

10. The computing system of claim 8 , wherein the operations further comprise:

identifying the usage data associated with the user interface elements;

one or more of rearranging the set of user interface elements based on the usage data and adjusting the respective click target sizes of the set of user interface elements based on the usage data to obtain rearranged user interface elements; and

providing the rearranged user interface elements for display to the user interface.

11. The computing system of claim 8 , wherein the usage data further comprises a time log of the user's interaction with the application.

12. The computing system of claim 8 , wherein the user's interaction with the application further comprises an attention span.

13. The computing system of claim 8 , wherein the pattern of clicks further comprises one or more of a type of clicking device, a type of selecting mechanism, a number of clicks, a number of failed clicks, and a number of useless clicks.

14. A non-transitory computer-readable medium comprising instructions stored therein, which, when executed by a processor, cause the computer to perform operations comprising:

identifying an input modality as one or more of a touchscreen-based input modality and a mouse-based input modality;

determining layout features of a user interface of an application of a computing device based on the input modality of the computing device;

obtaining, from a user's interaction with the user interface, usage data including a pattern of clicks, wherein the pattern of clicks comprises respective touch sizes of the clicks;

determining, from the input modality and the usage data of the application, respective importance scores of the user interface elements;

determining, from the respective importance scores, respective locations and sizes of each of the user interface elements as an arrangement of the user interface elements;

determine respective click target sizes of the user interface elements;

select, based on the click target sizes of the user interface elements, the layout features, and the respective importance scores of the user interface elements, a set of user interface elements from the user interface elements; and

providing, for display, the set of user interface elements according to the arrangement.

15. The non-transitory computer-readable medium of claim 14 , wherein the respective importance scores are further based on one or more of: rules provided by the user, rules provided by a designer of the application, usage data of the application, and usage data of similar applications.

16. The non-transitory computer-readable medium of claim 14 , the operations further comprising:

identifying the usage data associated with the user interface elements;

one or more of rearranging the set of user interface elements based on the usage data and adjusting the respective click target sizes of the set of user interface elements based on the usage data to obtain rearranged user interface elements; and

providing the rearranged user interface elements for display to the user interface.

17. The non-transitory computer-readable medium of claim 14 , wherein determining respective locations and sizes of the user interface elements as the arrangement of the user interface elements comprises applying the usage data to a machine-learned model.