Bart Peintner

TL;DR: Cognitive orthotic systems on the market today mainly provide alarms for prescribed activities at fixed times that are specified in advance, but Autominder uses a range of AI techniques to model an individual’s daily plans, observe and reason about the execution of those plans, and make decisions about whether and when to issue reminders.

TL;DR: This paper describes one such robot, Pearl, which has two primary functions: reminding people about routine activities such as eating, drinking, taking medicine, and using the bathroom, and guiding them through their environments.

TL;DR: The models and technical advances required to satisfy the competing needs of preference modeling and elicitation, constraint reasoning, and machine learning are described and a multifaceted evaluation of the perceived usefulness of the PTIME system is reported.

TL;DR: In this paper, an apparatus for assisting a user in the execution of a task, where the task includes one or more workflows required to accomplish a goal defined by the user, includes a task learner for creating new workflows from user demonstrations, a workflow tracker for identifying and tracking the progress of a current workflow, a task assistance processor coupled with the workflow tracker, and a task executor coupled to the task assist processor, for manipulating an application on the machine used by user to carry out the suggestion.

TL;DR: In this paper, a method for assisting a user with one or more desired tasks is described, where an executable, generic language understanding module and an executable task reasoning module are provided for execution in the computer processing system.