Vision of Autonomous Ride-sharing in 2030

 

The project focuses on human factors and aims to improve the ride-sharing experience. It discusses human engagement in the High Automation era and opportunities to design visual feedbacks to reduce human cognitive workload, bring enjoyment, and support future intelligent transportation systems. 

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Human Engagement in High Automation Stage

Automation is not "all-or-none"

-  Lack of human engagement affects their performance

Factors: Mental underload, low situational awareness (SA), trust (mistrust, distrust, and overtrust) and cognitive skill degradation 

 

"In and out of the loop" safety

Car designers should resist high automation of action selection in order to maintain passenger's situation awareness so people can smoothly “re-enter the loop".

- Customization of multi-modal feedbacks

The needs of novice and expert or that of different age groups differ; other reasons include accessibility and possible sensory narrowing caused by the conflict when inter-modal overload occurs.

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Inspiration from Model Adaptive Reference Control (MARC)

 

The system should allow passengers to interfere the computer's decisions with new "parameters" at any time and that will influence the outcome but the whole system still maintains a high level of automation.

Subjective experience is enhanced by allowing passengers to improvise.

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Ideation 

Seat arrangement

​Form studies

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Ideation 

​User journey: short trip at midday

3D mapping projection as display

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Concept 01

Multi-Modal Feedback

Sharing Control

Adjustable Seat

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High-field electroluminescence functions with the display of the system’s executions that can be applied when:

Route changes;Destination is close/unavailable; New passenger arrives

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Concept 02

Adaptive system

​Tactile experience

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Enhanced visibility— 

Better Integration, better communication.

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Holographic UI

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Display

From Simple to Comprehensive

Customizable information of resources in the city;

Age- and/or Expertise Specific Modes;

Predictable Signal Location

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User Scenario

Support for 

Multiple / Group 

Activities

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User Scenario

Facilitation for individual

activities

 

Privacy setting

Disturbance attenuation

Storage

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​Final Design

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​Physical Model