Bias of physical controllers in a system

Patent metadata

Field	Value
Publication number	US-10065658-B2
Application number	US-201615161649-A
Country	US
Kind code	B2
Filing date	May 23, 2016
Priority date	May 23, 2016
Publication date	Sep 4, 2018
Grant date	Sep 4, 2018

Abstract

An embodiment of the invention provides a method to control a mechanical system based on the cognitive state of a user, where a first action is performed at an input device that is associated with the user. The cognitive state of the user is detected at the input device; and, a change to the first action is determined based on the cognitive state of the user. A controlled action is performed based on the recommended change. A system can include an input device associated with user, where a first action is performed at the input device. A processor connected to the input device detects the cognitive state of the user at the input device and determines a change to the first action based on the cognitive state of the user. A controller connected to the processor performs a controlled action based on the recommended change.

First claim

What is claimed is:

1. A method to control a mechanical system based on the cognitive state of at least one user, said method comprising:
performing a first action at an input device, wherein the input device is associated with at least one user;
detecting the cognitive state of the at least one user at the input device by a first processing unit;
determining a change to the first action based on the cognitive state of the at least one user by a second processing unit; and
performing a controlled action by a controller based on the recommended change, the controlled action selected from the group consisting of delaying a command from the at least one user, sending an alert to a third party indicating the detected cognitive state of the at least one user, providing a recommendation to the at least one user, and activation of a detent in the physical controller.

2. The method according to claim 1 , wherein the cognitive state of the at least one user is selected from the group consisting of above a threshold level of anxiety, above a threshold level of level of elation, above a threshold level hesitation, above a threshold level of distraction, above a threshold level of fatigue, above a threshold level of frustration, above a threshold level of nervousness, above a threshold level of panic, above a threshold level of anger, below a threshold level of expertise, and a disease cognitive state.

3. The method according to claim 1 , wherein the cognitive state of the at least one user includes above a threshold level of anxiety, above a threshold level of level of elation, above a threshold level hesitation, above a threshold level of distraction, above a threshold level of fatigue, above a threshold level of frustration, above a threshold level of nervousness, above a threshold level of panic, above a threshold level of anger, below a threshold level of expertise, and a disease cognitive state.

4. The method according to claim 1 , wherein said controlled action includes activating an autopilot system in the mechanical system when the processor determines that the cognitive state of the at least one user is selected from the group consisting of above a threshold level of anxiety, above a threshold level of elation, above a threshold level of hesitation, above a threshold level of distraction, above a threshold level of fatigue, above a threshold level of frustration, above a threshold level of nervousness, above a threshold level of panic, above a threshold level of anger, below a threshold level of expertise, and a neurological disease cognitive state.

5. The method according to claim 1 , wherein said controlled action is performed when the processor determines that the cognitive state of the at least one user is selected from the group consisting of above a threshold level of anxiety, above a threshold level of elation, above a threshold level of hesitation, above a threshold level of distraction, above a threshold level of fatigue, above a threshold level of frustration, above a threshold level of nervousness, above a threshold level of panic, above a threshold level of anger, below a threshold level of expertise, and a neurological disease cognitive state.

6. The method according to claim 1 , wherein said controlled action is performed when the processor determines that the cognitive state of the at least one user is above a threshold level of anxiety, above a threshold level of elation, above a threshold level of hesitation, above a threshold level of distraction, above a threshold level of fatigue, above a threshold level of frustration, above a threshold level of nervousness, above a threshold level of panic, above a threshold level of anger, below a threshold level of expertise, and a neurological disease cognitive state.

7. The method according to claim 1 , wherein said controlled action includes increasing a sensitivity of a physical controller of the mechanical system when the processor determines that the cognitive state of the at least one user is selected from the group consisting of above a threshold level of anxiety, above a threshold level of elation, above a threshold level of hesitation, above a threshold level of distraction, above a threshold level of fatigue, above a threshold level of frustration, above a threshold level of nervousness, above a threshold level of panic, above a threshold level of anger, below a threshold level of expertise, and a neurological disease cognitive state.

8. The method according to claim 1 , wherein said controlled action includes decreasing a sensitivity of a physical controller of the mechanical system when the processor determines that the cognitive state of the at least one user is selected from the group consisting of above a threshold level of anxiety, above a threshold level of elation, above a threshold level of hesitation, above a threshold level of distraction, above a threshold level of fatigue, above a threshold level of frustration, above a threshold level of nervousness, above a threshold level of panic, above a threshold level of anger, below a threshold level of expertise, and a neurological disease cognitive state.

9. The method according to claim 1 , wherein said controlled includes changing a type of vibration feedback in the physical controller of the mechanical system when the processor determines that the cognitive state of the at least one user is selected from the group consisting of above a threshold level of anxiety, above a threshold level of elation, above a threshold level of hesitation, above a threshold level of distraction, above a threshold level of fatigue, above a threshold level of frustration, above a threshold level of nervousness, above a threshold level of panic, above a threshold level of anger, below a threshold level of expertise, and a neurological disease cognitive state.

10. The method according to claim 1 , wherein said controlled action is selected from the group consisting of decreasing an amount of vibration feedback and changing a type of vibration feedback in the physical controller of the mechanical system when the processor determines that the cognitive state of the at least one user is selected from the group consisting of above a threshold level of anxiety, above a threshold level of elation, above a threshold level of hesitation, above a threshold level of distraction, above a threshold level of fatigue, above a threshold level of frustration, above a threshold level of nervousness, above a threshold level of panic, above a threshold level of anger, below a threshold level of expertise, and a neurological disease cognitive state.

11. The method according to claim 1 , wherein said detecting of the cognitive state of the at least one user includes detecting a level of fatigue of the at least one user based on a factor selected from the group consisting of a calendar of the at least one user, a facial expression of the at least one user, and head nods detected by the input device.

12. The method according to claim 1 , wherein the mechanical system includes an automobile, the input device includes a camera on the automobile, and wherein said detecting of the cognitive state of the at least one user includes detecting that the at least one user is at least one of distracted and fatigued when lane deviation is detected in the input.

13. The method according to claim 1 , wherein said detecting of the cognitive state of the at least one user includes detecting a level of hesitation of the at least one user by a timing analysis, said timing analysis including:
determining an average response time for a task by the at least one user;
determining a current response time for the task by

Assignees

• IBM

Inventors

• Deligianni Hariklia
• Pickover Clifford A
• Sailer Anca

Classifications

• B60W2050/146

  Display means · CPC title

• A61B5/486

  Biofeedback (using electroencephalography [EEG] A61B5/375) · CPC title

• B60W40/08

  related to drivers or passengers · CPC title

• B60W2040/0827

  due to sleepiness · CPC title

• A61B5/7475

  User input or interface means, e.g. keyboard, pointing device, joystick · CPC title