Contextual Workflow Triggering on Multi-Screen Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Handheld devices with multiple screens require multiple user inputs to access and perform actions, leading to a cumbersome user experience that discourages users from using them for simple tasks due to the inability to evaluate user interactions, device states, and context for automatic application launching.
Innovation Solution
The system defines rules for automatically triggering workflows on handheld devices by monitoring signals from various sensors, such as orientation, position, and proximity, to anticipate user intentions and minimize user inputs, allowing intuitive interaction with multi-screen devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple user inputs are required to access and perform actions on handheld devices, then the device can provide comprehensive control and functionality, but the user experience becomes cumbersome and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically launching applications and executing tasks based on contextual signals before the user explicitly requests them. Sensors detect device state, orientation, and user behavior patterns to preemptively prepare and launch relevant applications, eliminating the need for users to manually navigate through multiple screens and menus to access frequently used functions.
Solution Approach 2:
The device serves itself by autonomously evaluating sensor signals, determining user intent, and automatically triggering workflows without requiring continuous user input. The system monitors device state and contextual information, then self-initiates appropriate actions such as launching applications, switching modes, or performing tasks based on predefined rules and machine learning models, freeing users from cognitive and computational loads.
2Extent of automation
If the device automatically evaluates user interactions and context to launch applications, then user input is minimized, but the device complexity increases
Solution Approach 1:
The automation system is segmented into modular components: sensor signal reception modules, signal evaluation modules with specific rules for different sensor types, workflow determination modules, and execution modules. Each component handles specific aspects of the automation process independently, allowing the complex automation functionality to be managed through discrete, well-defined segments that can be developed and maintained separately.
Solution Approach 2:
An intermediary layer consisting of signal evaluation rules and workflow determination logic is introduced between the raw sensor inputs and the application execution. This intermediary layer processes and interprets sensor signals, translates them into user intent, and triggers appropriate workflows, thereby managing the complexity of automation through a structured mediation layer that decouples sensor processing from application control.
3Adaptability or versatility
If multiple screens are provided to enhance device functionality, then the device can display more information and provide more applications, but the number of user inputs required to navigate and access functions increases
Solution Approach 1:
The multi-screen device dynamically adapts its display configuration and application launch behavior based on real-time sensor signals and contextual information. The system can dynamically determine which screen to activate, what application to launch, and how to configure the display layout based on device orientation, user position, and detected intent, allowing versatile functionality to be accessed through dynamic adaptation rather than static navigation menus.
Data Source
AI summary
The unique attributes of handheld devices and how they are used—particularly multi-screen devices—are leveraged to define rules for automatically triggering workflows. By monitoring signals from various device sensors, the device can anticipate a user's intention to perform an action, such as capturing a quick thought. A workflow for performing the action (or actions) may be automatically triggered based on rules for evaluating the sensor signals. By anticipating the user's intentions, the device can automatically perform many of the underlying actions behind the scenes, thereby minimizing the actions performed by the user and improving the user experience. In this way, cumbersome, multi-step user inputs and interactions are avoided by anticipating user intentions and automatically triggering workflows.