Adaptive Haptic Actuator Control for User Action Induction
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Solution Overview
Problem
Conventional haptic outputs are generally generic and lack customization, failing to effectively induce specific user actions with optimal efficiency, as they do not adapt based on user responses.
Innovation Solution
A haptic system that includes sensors and processors to detect user response characteristics, compare them with desired actions, and iteratively adjust haptic output profiles to improve effectiveness, using machine-learned models to optimize haptic outputs for specific actions and transfer customized profiles between devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional generic haptic outputs are used, then device complexity is reduced, but effectiveness in inducing specific user actions deteriorates
Solution Approach 1:
The system implements feedback by detecting user responses to haptic outputs and using this information to iteratively adjust and optimize haptic output profiles. Sensors detect user response characteristics, and the system compares detected actions with desired actions to generate effectiveness metrics that guide subsequent haptic output adjustments.
Solution Approach 2:
The haptic output profiles are made dynamic and adaptive rather than static and generic. The system adjusts haptic parameters based on detected user responses, allowing the haptic outputs to evolve and optimize themselves over time for specific users and contexts.
2Productivity
If generic haptic outputs are used, then ease of operation is maintained, but productivity in inducing user actions deteriorates
Solution Approach 1:
The haptic system performs self-optimization by automatically detecting user responses and adjusting its own output profiles without requiring manual intervention. The system autonomously iterates through haptic outputs, measures effectiveness, and refines profiles to improve productivity in inducing user actions.
Solution Approach 2:
The system performs preliminary actions by pre-adjusting haptic output profiles based on detected user responses before subsequent haptic events. This preliminary optimization reduces the time required to induce desired user actions in future interactions.
3Reliability
If haptic outputs are increased in intensity to ensure effectiveness, then reliability of inducing actions improves, but harmful factors such as intrusiveness and annoyance increase
Solution Approach 1:
The system changes multiple haptic parameters simultaneously rather than simply increasing intensity. By adjusting frequency, duration, amplitude, and temporal patterns based on effectiveness metrics, the system achieves reliable action induction while avoiding excessive intensity that causes intrusiveness or annoyance.
Solution Approach 2:
The haptic output parameters are dynamically adjusted based on real-time feedback from user responses. The system adapts the intensity and characteristics of haptic outputs to optimize effectiveness while minimizing harmful effects, rather than using fixed high-intensity outputs.
Data Source
AI summary
A haptic system can include a user device including one or more haptic actuators and one or more sensors. The haptic system can be configured to perform operations including controlling the haptic actuator(s) to produce a haptic output based on a haptic output profile associated with a desired action of a user of the haptic system; detecting, using the one or more sensors, one or more user response characteristics in response to the haptic output; determining, based at least in part on the one or more user response characteristics, data describing a user action of the user performed after the haptic actuator(s) produces the haptic output; comparing the data describing the user action with data indicative of the desired action to generate an effectiveness metric; and determining a subsequent haptic output profile for a subsequent haptic output based at least in part on the effectiveness metric.