Abstract: A transformation platform allows a common data model to provide query output to multiple types of output devices, and incorporate query responses received using multiple types of constrained user input devices, such as neural headsets, that may be used by disabled individuals. Data and software applications can employ input and output modes of a client computer device without the data or application having to be specifically formatted or programmed for the different input and output modes. The data can specify queries that include response fields having response options that are selectively, such as progressively, highlighted. A user can provide input to select a highlighted response option. For a query having multiple response fields, response options for each response field can be progressively displayed after user input is received for a current set of response options. The query responses can be stored in the data model in association with field identifiers.

Abstract: A transformation platform allows a common data model to provide query output to multiple types of output devices, and incorporate query responses received using multiple types of constrained user input devices, such as neural headsets, that may be used by disabled individuals. Data and software applications can employ input and output modes of a client computer device without the data or application having to be specifically formatted or programmed for the different input and output modes. The data can specify queries that include response fields having response options that are selectively, such as progressively, highlighted. A user can provide input to select a highlighted response option. For a query having multiple response fields, response options for each response field can be progressively displayed after user input is received for a current set of response options. The query responses can be stored in the data model in association with field identifiers.