Ranking Graphical Elements by Physical Conditions
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Solution Overview
Problem
Existing user interfaces for building automation systems (BAS) require users to spend significant time searching through large collections of menus and lists to locate specific graphical elements, with no satisfactory way to prioritize or persist the presentation of these elements.
Innovation Solution
A system that ranks graphical elements based on physical conditions, using environment data from control devices to determine when a defined condition is met, and incrementing a rank value for elements accessed during these conditions, allowing for preferential presentation of highly ranked elements on the user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users navigate through large collections of menus and lists in existing user interfaces, then comprehensive information can be accessed, but significant time is spent searching and locating specific graphical elements
Solution Approach 1:
The system performs preliminary actions by pre-ranking and pre-ordering graphical elements based on historical user interactions and environmental conditions before the user needs to access them. The user interface device presents pre-sorted lists and menus where frequently accessed or context-relevant elements appear first, eliminating the need for users to search through entire collections systematically.
Solution Approach 2:
The system dynamically adapts the presentation of graphical elements based on real-time environmental data (such as temperature, humidity, occupancy) and historical user behavior patterns. The ranking and ordering of elements changes dynamically according to current conditions, allowing the interface to automatically prioritize what users are most likely to need at any given moment.
2Loss of information
If existing user interfaces present all graphical elements uniformly, then complete information is available, but there is no satisfactory way to prioritize or persist the presentation of elements
Solution Approach 1:
The system applies local quality by assigning different levels of prominence, priority, or visibility to different graphical elements based on their relevance to current environmental conditions and user history. Not all elements are treated equally; instead, each element receives a customized presentation weight that reflects its importance in the current context, making the interface both complete and differentiated.
Solution Approach 2:
The system continuously collects feedback from user interactions (selections, views, dwell times) and environmental data, then uses this feedback to refine and update the ranking algorithm. This feedback loop enables the system to learn user preferences and adapt the presentation over time, making the interface increasingly efficient at predicting and presenting what users need.
Data Source
AI summary
Architectures or techniques are presented that can learn relationships between graphical elements presented by a user interface and physical conditions that exist in an environment. Furthermore, the architectures or techniques can, potentially based on the learned information, present the graphical elements to the user interface in a manner that is determined to be more efficient. For example, graphical elements that were historically accessed when a particular physical condition is true can be identified. These identified graphical elements can then be presented in a location of the user interface that is determined to be favorable to rapid or efficient selection at times with the particular physical condition is determined to be satisfied.