#15 Low-distraction Interaction
- Principal Investigator
- John Shen
- Status
- Completed
- Start Date
- Jan. 1, 2017
- End Date
- Aug. 30, 2018
- Project Type
- Research Applied
- Grant Program
- MAP-21 TSET National (2013 - 2018)
- Grant Cycle
- 2017 TSET UTC
- Visibility
- Public
Abstract
Developing systems to enable safe and low-distraction Human-Machine-Interaction within the vehicles is an extremely challenging task. Today's information systems in vehicles, which include services for Navigation, Media access and even communications technologies are unsafe because they have no awareness or understanding of the driver, the driving environment, or the broader goals of the interaction. Additionally, current information systems in vehicles are cumbersome to use, significantly increasing the cognitive load of the driver compared to Human-To-Human interaction. In this work we explore Human-Centric Design for information-access within vehicles. First we collect and analyze Human-To-Human interaction in vehicles. analyzing the timing, type and stages of interaction when a human co-pilot provides support and becomes the portal for Navigation, Media-Access and communication with out-side parties. We then explore and develop the core technologies to support a similar Human-like interaction within the vehicle, using machine learning and sensor networks including camera's, microphones and GPS to gain situation knowledge. The situationally aware agent can then interact with the driver in a dynamic and situational manner, reducing cognitive load to a level akin to interacting with another human in the vehicle. This work has additionally been funded by the following Automotive Groups through research gifts: + $100,000 (Toyota) + $150,000 (Honda) + $165,000 (Renault) + $180,000 (Ford) + $400,000 (Volkswagon)
Description
Timeline
Strategic Description / RD&T
Deployment Plan
Expected Outcomes/Impacts
Expected Outputs
TRID
Individuals Involved
| Name | Affiliation | Role | Position | |
|---|---|---|---|---|
| Guanlinchao@cmu.edu | Chao, Guan-Lin | Robotics Institute | Other | Student - PhD |
| suyoun@cs.cmu.edu | Kim, Suyoun | Robotics Institute | Other | Student - PhD |
| lane@cmu.edu | Lane, Ian | ECE/SV | Co-PI | Faculty - Research/Systems |
| Bing.Lui@sv.cmu.edu | Liu, Bing | Robotics Institute | Other | Student - PhD |
| jpshen@cmu.edu | Shen, John | ECE/CV | PI | Other |
Budget
Amount of UTC Funds Awarded
$127500.00Total Project Budget (from all funding sources)
$127500.00Documents
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