What it does
At present, intelligent driving is confronted with problems such as a crisis of trust and untimely decision correction. To address the lack of trust caused by insufficient psychological expectations
Your inspiration
The intelligentization of automobiles in our country is booming. Some autonomous driving tests have revealed such a problem: when autonomous driving emphasizes traffic efficiency, certain sudden acceleration and undecelerated cornering actions can cause anxiety among drivers and passengers, which reflects such a problem: Intelligent driving essentially liberates people's attention from driving tasks, but driving styles that do not meet expectations will starlight unprepared drivers and passengers, and drivers will show a strong desire to intervene in driving.
How it works
The E-hexagons symbolize the direction and speed of the rhythmic movement formed by the sequential expansion of the airbags, indicating the steering and shifting that the vehicle is about to perform. To enable users to experience the feedback effect of E-hexagons, E-hexagons uses the continuous pumping of air by the air pump to form an airflow or vacuum to complete the suction and release actions of the airbag. Specifically, multiple air pumps are connected to the air valve through multi-way connectors, thereby connecting to the airbag. When several specific gas valves are open, gas is delivered to the corresponding airbags through the valves. The airbags corresponding to the remaining closed gas valves release the gas, thereby achieving array control of airbags. The user indicates the operation intention to E-hexagons by intuitive actions such as point pressing and pressing. To read the user's operation intention
Design process
E-hexagons analyzed the current research status of interaction devices in existing intelligent driving and conducted experimental exploration. Through the process of "design - test - analysis - optimization", it analyzed the pain points and carried out design improvement. To make metaphors for actions such as vehicle steering and gear shifting, E-hexagons, with the aid of the Choreme theory, summarized and subdivided the spatial information in the intelligent driving process from the two dimensions of direction and speed, and determined the idea of using a regular hexagonal airbag array as the feedback form: using the diversity expressed in the direction of the regular hexagonal array to symbolize the twelve-direction steering of the vehicle; And it takes advantage of its extensibility to achieve the deployment flexibility of positions within the vehicle. After determining the feedback form, E-hexagons entered the software and hardware development stage of the functional prototype. Through the hardware development based on the single-chip microcomputer, a stable and usable experimental prototype was built to complete the series architecture, component screening and circuit connection of the sensing sensor array, pneumatic actuator and mechanical power module.
How it is different
The interactive information on the screen interface is overly rich and suitable for precise operation. The driver processes too much information simultaneously, resulting in a long decision-making time. Based on aerodynamic feedback, E-hexagons proposes a new intelligent driving interaction mode from the perspective of natural interaction. For intelligent driving at the L3-L4 stage, it innovatively introduces tactile interaction, enabling drivers to perceive the vehicle's movement status and spatial information in real time during intelligent driving, and enhancing drivers' trust in intelligent driving. And by adopting a more straightforward and intuitive interaction grammar that conforms to the user's control intuition, the time for the driver to intervene in the decision-making of the in-vehicle system is shortened.
Future plans
In the next stage, E-hexagons hopes to build a more refined functional prototype, including the miniaturization of the regular hexagonal airbag array and clearer 2.5D texture features. On this basis, conduct a wider range of user tests to obtain users' feedback cognition, operational intuition and their recognition of E-hexagons more accurately, carry out design iterations, and help E-hexagons refine its grammar and hardware system. In addition, E-hexagons hopes to explore the interaction mode that collaborates with the central control screen and discuss more deployment positions of this interaction mode in the intelligent driving cabin
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