Mixed Reality Haptic Pattern Configuration
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Solution Overview
Problem
Existing haptic feedback systems face challenges in customizing notifications for users across different devices and scenarios, as they often rely on audio or visual cues that may not be effective in all situations, and struggle to abstract and deliver notifications appropriately.
Innovation Solution
A mixed reality interface system that simulates contextual situations to configure haptic effects, allowing users to customize duration, types, and propagation of haptic feedback through participating haptic devices, enabling personalized and scenario-specific notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If audio or visual cues are used for notifications, then notifications can be delivered to users, but they may not be effective in all situations and lack personalization across different devices
Solution Approach 1:
The system changes the parameters of notification delivery by introducing haptic feedback with varying intensities, patterns, and durations. Users can customize haptic parameters such as vibration strength, pulse patterns, and timing to create personalized notification experiences that adapt to different situations and user preferences, overcoming the limitations of audio/visual cues.
Solution Approach 2:
The notification system is enhanced to perform multiple functions by combining audio, visual, and haptic feedback mechanisms. This multi-functional approach allows notifications to be delivered effectively across different situations - haptic feedback provides tactile confirmation that works in environments where audio/visual cues may be insufficient, while maintaining the ability to customize each notification type independently.
2Adaptability or versatility
If haptic feedback is customized for different users and scenarios, then personalized notifications are achieved, but system complexity increases
Solution Approach 1:
The haptic feedback system is segmented into distinct, manageable components including different haptic effect types (vibration, pulse, tap), intensity levels, duration parameters, and pattern configurations. This segmentation allows users to customize individual aspects of haptic notifications without overwhelming complexity, as each parameter can be adjusted independently through the user interface.
Solution Approach 2:
A graphical user interface acts as an intermediary between the user and the complex haptic effect parameters. The GUI provides visual representations and controls that simplify the configuration of haptic notifications, translating complex technical parameters into intuitive adjustments that users can make without understanding the underlying system complexity.
3Adaptability or versatility
If multiple haptic devices participate in notification delivery, then notification coverage and personalization improve, but coordination and management become more difficult
Solution Approach 1:
The system merges the capabilities of multiple haptic devices into a unified notification delivery system. By combining the haptic feedback from different devices (such as smartphone, smartwatch, and other connected devices), the system creates coordinated multi-device notification experiences that maintain consistent customization across all devices, simplifying management through centralized configuration.
Solution Approach 2:
The notification system is designed to universally work across multiple device types by implementing a common haptic effect management framework. This allows the same customization parameters and configuration approach to be applied across smartphones, smartwatches, and other haptic-capable devices, reducing the complexity of managing multi-device notifications through standardized interfaces and protocols.
Data Source
AI summary
Embodiments disclosed herein include a method for managing haptic effects. The method generates a first graphical representation of a first haptic effect generation pattern in a mixed reality environment, wherein the first haptic effect generation pattern comprises factors for generating a first haptic effect at a first haptic device. The method receives a user alteration to the first haptic effect generation pattern from a first user. The method changes the graphical representation based on the user alteration.


