Abstract: Generative artificial intelligence (AI) agents can output simulated paralinguistic data. AI can also be used to infer paralinguistic data using sensors that detect contextual cues from users. Paralinguistic systems and methods explained herein involve presenting paralinguistic data (whether simulated or inferred) to a user concurrently with verbal data (e.g., words) in real time during a live interaction with an AI agent and/or another user in an intuitive manner. These concepts include multiple representations of paralinguistic data that are appropriate for various output channels, depending on the mode of interaction. The paralinguistic systems enable the user to have a better understanding of the responses from the AI agent, avoid misunderstanding, and better use the AI agent to roleplay mock conversations. These concepts also enable the user to be more aware of her own contextual cues as well as contextual cues being exhibited by other users.

Abstract: Biosensing measurements (e.g., heart rate, pupil size, cognitive load, stress level, etc.) are communicated in the context of events that occurred concurrently with the biosensing measurements. The biosensing measurements and the contextual events can be presented in real-time or as historical summaries. Such presentations allow users to easily gain useful insights into which specific events triggered which specific physiological responses in users. Therefore, the present concepts more effectively communicate insights that can be used to change user behavior, modify workflow, design improved products or services, enhance user satisfaction and wellbeing, increase productivity and revenue, and eliminate negative impacts on user's emotions and mental state.