System and Method for optimizing an ambient-sensitive to-do list
Publication Date: 2016-May-18
The IP.com Prior Art Database
Ambient-sensitive to-do lists described in prior art suffer from limited ability to propose workitems that would be optimal, given the current environmental conditions. This article discloses a method that improves the way to determine the most suitable workitems in ambient-sensitive to-do lists.
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System and Method for optimizing an ambient -
Disclosed is a method to optimize the selection of to-do items in an ambient-sensitive to-do list.
An ambient-sensitive to-do list has the capability to highlight or filter out to-do items that need specific environmental conditions in order to be worked on. For example, if querying an ambient-sensitive to-do list for a currently suitable to-do item and during the query there is a measurable background noise, the ambient-sensitive to-do list
would not return any to-do items that require silence. Or, if a calendar entry exists for a meeting that will start 15 minutes from now, the ambient-sensitive to-do list
would not return any to-do item that requires 30 minutes of undisturbed time.
Current problems of ambient-sensitive to-do lists
With an ambient-sensitive to-do list that works based on environmental conditions, each to-do can be determined as currently viable or not viable to the user, depending on the actual conditions. However, in real life scenarios, the environmental conditions that need to be considered for that determination turns out to be a comprehensive list of measures.
Examples for such measures can look like this:
"to-do requires silence",
"to-do is only possible at a specific location",
"to-do requires connection to the Internet"
"to-do requires privacy"
"to-do requires confidentiality"
"to-do requires a high degree of attention"
"to-do requires to be inside a particular time of day interval"
"to-do requires a particular amount of undisturbed time"
"to-do requires access to a desktop with large display"
And of course more measures may apply depending on the particular environment; in particular, when some of the measures are correlated to each other or when one measure is a refinement of another measure, the list can be quite extensive.
Given the current values for the several environmental conditions, and given a list of to-do items -each one tagged with its required environmental conditions- it seems simple to determine those to-do items that do match the current conditions, and present them to the user. However in order to present only one best matching to-do item, or in order to present a ranked list with the best matching to-do item sorted to the top, much more optimizations are needed; otherwise, the user might choose to resign the advantages of the ambient-sensitive to-do list and use an ambient-insensitive to-do list instead.
Enhancements added with the disclosed method
The disclosed method introduces an optimization on the way to determine the best matching to-do item given the current environmental conditions for the current user.
sensitive to - -do list
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For this, we distinguish between "more precious" conditions "less precious" conditions: a "more precious" condition is a possible value of a particular environmental condition which is:
rarely satisfied but often violated.