Human-Centered Intelligent Systems Lab.

Driver-Aware Disengagement in Semi-Autonomous Driving Situations (HCIK 2018, A.I. Basic Research)

Goal

Real-time driver’s task load discrimination -> Driver’s attentiveness level classification and condition discrimination -> Suggest various situation based hand-over notification interface design guidelines for control of high reliable autonomous driving vehicles

Procedure

Survey of 100 people (M= 32.66, SD= 11.20, Min: 21 ~ Max: 64, rate: male 70%, female 30%)
Analysis of hand-over method guidelines according to driver’s perceptive and task load aspect for each possible situation in autonomous vehicle
Suggest novel Hand-Over HMI (Human-Machine Interface) environment and methodology according to driver’s condition. This suggestion is based on survey of over 10 literatures with Hand-Over

Result

Evaluation of task load for notifications according to driver’s condition when Hand-Over notification is given to the driving control.

-> Suggest novel notification interface design guidelines to decrease task load and increase driver’s take-over speed.

Hand-over notification result : sound → vibration → visual
People prefer to be notified with devices which are used by drivers (e.g. phone, tablet, etc…)

(A) Investigation of driver's secondary activity needs during autonomous driving

(B) Investigation of preferred notifications

by driver’s cognitive load during autonomous driving

(C) Evaluation of task load for notifications according to Driver’s condition when Hand-Over notification is given

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