AR Task List Display with Automatic Completion Detection
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Solution Overview
Problem
Individuals often forget to mark tasks as completed on their lists, leading to missed tasks and inefficiencies in task management.
Innovation Solution
A device that displays a task list in an extended reality environment, using an image sensor to detect task completion and update the display accordingly, such as by crossing out or removing completed tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a person manually marks tasks as completed on a task list, then task completion tracking is achieved, but human error causes tasks to be forgotten or missed
Solution Approach 1:
The system performs automatic task completion detection and marking without requiring manual user intervention. The image sensor continuously monitors the physical environment, automatically detects when tasks are completed, and updates the task list accordingly, eliminating reliance on human memory and manual action.
Solution Approach 2:
The system provides real-time visual feedback by displaying the task list with completion status indicators. When a task is detected as completed, the system immediately updates the display to reflect this change, creating a closed-loop feedback mechanism that ensures task status is always current and visible.
2Productivity
If a traditional paper or digital task list is used, then task organization is achieved, but manual updating creates inefficiencies and potential for error
Solution Approach 1:
The system replaces manual mechanical actions (writing, checking, updating) with automated optical detection. The image sensor captures visual information from the environment, and image processing algorithms automatically analyze this data to detect task completion, substituting human manual operations with automated computational processes.
Solution Approach 2:
The system introduces an intermediary layer between the physical task completion and the digital task list update. The image sensor and image processing system act as intermediaries that automatically translate physical world events into digital record updates, eliminating the need for direct manual interaction between the user and the task list.
3Loss of information
If manual task marking is required, then task list accuracy is maintained, but user attention and effort are continuously required
Solution Approach 1:
The system performs preliminary detection and analysis of task completion status before any user action is required. By continuously monitoring the environment and pre-processing image data, the system is already prepared to automatically update task status the moment completion occurs, eliminating the need for user initiation.
Solution Approach 2:
The task list system serves itself by automatically detecting, processing, and updating task completion status without external user intervention. The system monitors its own environment, processes the visual information, and maintains the task list accuracy autonomously, freeing the user from this maintenance burden.
Data Source
AI summary
In one implementation, a method of displaying a task list is performed by a device including an image sensor, a display, one or more processors, and non-transitory memory. The method includes obtaining, using the image sensor, a video stream of a physical environment. The method includes displaying, on the display in association with the physical environment, a task list including a plurality of task elements respectively associated with a plurality of tasks, wherein the plurality of task elements includes a first task element associated with a first task and a second task element associated with a second task. The method includes detecting, in the video stream of the physical environment, completion of the first task. The method includes, in response to detecting completion of the first task, changing display of the first task element.