IN-VEHICLE MICRO-INTERACTIONS

• US 20150321604A1
• Filed: 05/07/2014
• Published: 11/12/2015
• Est. Priority Date: 05/07/2014
• Status: Abandoned Application

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: MacNeille, Perry Robinson, Liu, Yimin, Gusikhin, Oleg Yurievitch
• Application Number:
  US14/271,864
• Publication Number:
  US 20150321604A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60Q 9/00 Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00 , e.g. haptic signalling
• CPC Class Codes: B60R 16/02 electric constitutive elements
• CPC Class Codes: G06N 5/04 Inference or reasoning models

Abstract

A message specifying one or more queries to be provided via a human machine interface (HMI) is received in a vehicle computer. A total estimated cognitive load is determined for an operator of the vehicle based on an estimated current cognitive load and an estimated cognitive load associated with the one or more queries. The one or more queries are provided via the HMI if the total estimated cognitive load is at or below a predetermined threshold.

Claims

1. A system, comprising a computer in a vehicle, the computer comprising a processor and a memory, wherein the computer is configured to:

receive a message specifying one or more queries to be provided via a human machine interface (HMI) in the vehicle;

determine a total estimated cognitive load for an operator of the vehicle based on an estimated current cognitive load and an estimated cognitive load associated with the one or more queries; and

provide the one or more queries via the HMI if the total estimated cognitive load is at or below a predetermined threshold.

2. The system of claim 1, wherein the computer is further configured to obtain a response to the one or more queries, and provide the response in a message to a remote server.

3. The system of claim 1, wherein the predetermined threshold is determined according to the Yerkes-Dodson Law.

4. The system of claim 1, wherein the message further specifies a mode for each of the one or more queries.

5. The system of claim 4, wherein the mode is selected from the group consisting of a verbal mode, a visual mode, and a haptic mode.

6. The system of claim 1, wherein the computer is further configured to determine the estimated current cognitive load based at least in part on data collected in the vehicle related to at least one of vehicle performance and driver performance.

7. The system of claim 1, wherein the computer is further configured to determine the estimated current cognitive load based at least in part on data received from a remote computer via a network.

8. The system of claim 1, wherein the computer is further configured to determine the estimated cognitive load associated with the one or more queries.

9. A system, comprising a computer comprising a processor and a memory, wherein the computer is configured to:

receive data, via a network, from each of a plurality of vehicles;

use the data to select at least some of the vehicles to receive one or more queries; and

send the one or more queries to the selected vehicles.

10. The system of claim 9, wherein the computer is further configured to receive responses to the queries.

11. The system of claim 9, wherein each of the queries includes at least one micro-interaction, each micro-interaction in one of the queries specifying at least one input and at least one output with respect to the query.

12. The system of claim 11, wherein at least some micro-interactions in the queries specify at least one of a mode for outputting the query and a mode for a user to input a response.

13. A method, comprising:

receiving a message specifying one or more queries to be provided via a human machine interface (HMI) in a vehicle;

determining a total estimated cognitive load for an operator of the vehicle based on an estimated current cognitive load and an estimated cognitive load associated with the one or more queries; and

providing the one or more queries via the HMI if the total estimated cognitive load is at or below a predetermined threshold.

14. The method of claim 13, further comprising obtaining a response to the one or more queries, and provide the response in a message to a remote server.

15. The method of claim 13, wherein the predetermined threshold is determined according to the Yerkes-Dodson Law.

16. The method of claim 13, wherein the message further specifies a mode for each of the one or more queries.

17. The method of claim 16, wherein the mode is selected from the group consisting of a verbal mode, a visual mode, and a haptic mode.

18. The method of claim 13, further comprising determining the estimated current cognitive load based at least in part on data collected in the vehicle related to at least one of vehicle performance and driver performance.

19. The method of claim 13, further comprising determining the estimated current cognitive load based at least in part on data received from a remote computer via a network.

20. The method of claim 13, further comprising determining the estimated cognitive load associated with the one or more queries.