Digital Human Gesture Processing for Predictive Touch Interaction
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Solution Overview
Problem
Digital humans lack the ability to predict user questions through observation and engage in physical interactions, leading to reduced user engagement due to the difficulty in assessing user interests and providing immediate responses.
Innovation Solution
Implementing a system that uses gesture-based processing to present a virtual touch display element with selectable portions, determine user gestures, and initiate automated actions based on these gestures, while utilizing haptic feedback to enhance interaction dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital humans use traditional text-based or voice-based interaction, then they can provide information, but user engagement is reduced due to inability to predict user questions and assess user interests
Solution Approach 1:
The system performs preliminary action by predicting user questions and interests before the user actually asks them. The gesture recognition system continuously monitors user gestures and uses this information to anticipate what the user wants to know or select, allowing the digital human to proactively provide relevant information without waiting for explicit user input.
Solution Approach 2:
The system implements feedback by using haptic feedback mechanisms to provide tactile responses to user gestures. When a user makes a gesture toward the display, the system provides haptic feedback that confirms recognition of the gesture, creating a closed-loop interaction that enhances user engagement and makes the digital human appear more responsive and alive.
2Ease of operation
If digital humans provide immediate responses to user gestures, then user engagement improves, but the system complexity increases due to gesture recognition and haptic feedback integration
Solution Approach 1:
The system applies universality by making the display serve multiple functions: it acts as both a visual display and a gesture-sensitive input device. The same display surface that shows content also detects gestures through capacitive sensing, eliminating the need for separate sensors and reducing overall system complexity despite the added functionality.
Solution Approach 2:
The system uses an intermediary approach by implementing a software layer that mediates between the gesture detection hardware and the digital human response system. This software intermediary processes gesture data, predicts user intent, and coordinates haptic feedback, allowing the complex functions to be managed through software rather than requiring complex hardware architecture.
3Measurement precision
If the system uses virtual touch display elements with selectable portions, then interaction precision improves, but the difficulty of detecting and measuring user intent increases
Solution Approach 1:
The system uses feedback by providing haptic confirmation when a gesture is recognized and mapped to a selectable portion. This tactile feedback confirms to the user that their gesture was correctly interpreted, creating a verification loop that reduces ambiguity in intent detection and allows the system to handle complex gesture-to-intent mapping with user confirmation.
Data Source
AI summary
Techniques for gesture-based processing of digital human responses are provided. One method comprises obtaining a response, generated by a language model, to be delivered by a digital human to a user, wherein the response comprises a predicted gesture label identifying a gesture associated with the response; presenting a virtual touch display element to the user, based on the predicted gesture label, wherein the virtual touch display element comprises selectable portions; determining coordinates of a gesture of the user, in connection with a given selectable portion; mapping the determined coordinates of the gesture to a selection of a given item associated with a corresponding one of the selectable portions; and initiating an automated action based on the selected given item. Virtual interactions between the user and the digital human may also be processed. A haptic feedback response may be provided to the user in response to a given gesture.