Systems and methods for constructing and using models of memorability in computing and communications applications
One or more models of memorability are provided that facilitate various computer-based applications including those centering on the storage, retrieval, and processing of information, applications that remind people about items they risk not recalling or overlooking, and facilitating communications of reminders. In one application, the models are used to help compose and navigate large personal stores of information about a user's activities, communications, images, and other content. In another application, views of files in directories are extended with the addition of memory landmarks, and a means for controlling the number of landmarks provided via changing a threshold on inferred memorability. Another application centers on the use of models of memorability to select subsets of images from larger sets representing events, for display in a slide show or ambient photo display. In another application, a system is provided that facilitates computer-based searching for information by providing for the design and analysis of timeline visualizations in connection with displaying results to queries based at least in part on an index of content. A query is received by a query component (which can be part of search engine that provides a unified index of information a user has been exposed to). The query component parses the query into portions relevant to effecting a meaningful search in accordance with the subject invention. The query component can access and populate a data store which may include information searched for. A landmark component receives and/or accesses information from the query component as well as the data store, and anchors public and/or personal landmark events to search results-related information.
1 . A method for determining reminders, comprising:
automatically training models from data; and
performing inference about items that are potentially forgotten.
2 . The method of claim 1 , further comprising:
inferring a likelihood that an item will be forgotten; and
performing a cost-benefit analysis of an expected value of reminding a user about the item.
3 . The method of claim 1 , further comprising performing expected-utility decision making about if and when to come forward to remind a user about something that they are likely to forget given an item type and context in view of a cost of an interruption.
4 . The method of claim 1 , further comprising controlling of alerting about reminders in desktop applications or mobile devices via the incorporation of the disruptiveness and the cost of a transmission.
5 . The method of claim 1 , further comprising automatically assisting patients with various cognitive deficits that may lead to memory aberrancies.
6 . The method of claim 5 , further comprising automatically predicting the likelihood that a patient with Alzheimer's disease is at a particular stage of the illness.
7 . The method of claim 6 , further comprising at least one of automatically providing audiovisual cues to users and automatically providing ideal reminders.