Proactive Agent : Adaptive Decision-Making for Multimodal Voice Interface

SHI Bot: Adaptive Decision-Making for Multimodal Voice Interfaces is designed to support natural, confident interaction, particularly for users unfamiliar with or hesitant toward digital tools. By integrating NLP and semantic analysis, a classification engine evaluates the contextual relevance of input, triggering responses only when appropriate. This reduces false activations and builds user trust. Designed for hands-free, context-aware use, the interface is intuitive, non-intrusive, and empowers users to feel in control, not overwhelmed.

Accidental Command Trigger in Passive Conversation

• A nearby user casually says “go home” during an unrelated conversation.

▶︎ The voice interface incorrectly interprets the phrase as a navigation command and initiates route guidance.

 False Activation from Distant, Irrelevant Speech

• Smart speaker overhears “no!” from another room 

▶︎ The smart speaker misinterprets the emotional outburst as a cancellation command and prematurely stops an active task (e.g., timer or music).

Responding only to support the driver or driving task.

• Retrieves directions or alternate routes so the driver doesn’t have to pause and search

• Provides a brief definition or fact if a passenger asks about something they see outside

• Reminds the driver when fuel is low 

• Alerts the driver if traffic conditions ahead have changed

Helpful aisstant when you need it, invisible when you don’t

• Retrieve a specific document so the speak wouldn’t have to pause

▶︎ Records the meeting or document assignments for next steps

▶︎ Provides a brief definition of a term if asked

▶︎ Reminder if the meeting is running long

▶︎ Agent summarizes the meeting at the end

❏ Adaptive UI based on interaction patterns

❏ Real-time prompt editing pipeline 

❏ Voice-based prompt revision

❏ Incorporating Emotional and Tonal Cues

❏ Personalized Interaction Models

• Adapt system behavior based on individual user preferences, speech patterns, and interaction history.