[Development Case] Adaptive HMI System
The interaction that conveys the surrounding situation adjusts intelligently according to the driver's level of comfort!
Estimating the user's level of comfort and deriving appropriate interactions. We will introduce a case study of an Adaptive HMI system that was researched and developed. We developed a machine learning model to estimate the user's level of comfort based on body movements and pupil changes. We researched and developed an HMI system that changes interactions according to the user's situation, as well as software that visualizes the judgments of the machine learning model. When switching from autonomous driving mode to manual driving mode, the interaction that conveys the surrounding situation intelligently switches according to the driver's level of comfort. [Case Overview] ■Client: sdtech R&D ■Year: 2019 ■Services: UX/UI design, graphics production, software development *For more details, please refer to the related links or feel free to contact us.
basic information
For more details, please refer to the related links or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
For more details, please refer to the related links or feel free to contact us.
