Page 16 - IJAMD-1-3

International Journal of AI for
Materials and Design
Smart cockpit design with generative models

meeting the unique needs of each user, improving design signals, other vehicles, and pedestrians. The user-behavior
efficiency, shortening the design cycle, and ensuring agent monitors the user’s physiological status derived from
continuous feedback from the user agent and UX analyst the individual HDT. The interaction agent dynamically
agent to guarantee user satisfaction. The integration of adjusts the interactive interfaces according to the user’s
these technologies can significantly enhance the quality preferences and the current environment information to
and efficiency of personalized cockpit product design. provide real-time feedback and suggestions. This includes
adjusting the information hierarchy, displaying real-time
3.2.2. Personalized interactive interface design information about the vehicle’s status, designing various

The design of personalized interactive interfaces is crucial interface styles, and providing warning information to meet
for enhancing UX and safety. An individual user HDT the user’s needs. By sharing information and collaborating,
model can capture the user’s habits and provide support for each agent ensures rapid response and personalized
personalized interactive interface design by understanding service. For instance, when the environment-aware agent
specific preferences in the information display. These detects an obstacle in front of the car, the user-behavior
preferences include visual elements (e.g., font size, color agent analyzes the user’s attention state and reaction ability,
contrast, area of interest), information needs (e.g., real-time and the interaction agent can initiate a timely warning to
speed, navigation paths, and awareness of the surrounding the user and suggest appropriate measures.
environment and pedestrians), interaction modes Simulating diverse driving situations (e.g., urban
(e.g., voice control and touch control), and safety alert environments, highways, inclement weather conditions)
preferences (e.g., frequency and form of warning messages). within a virtual driving environment and assessing the
MASs and HDT technologies play a key role in performance of various interactive interfaces under these
personalized interaction design, enabling real-time can provide a robust evaluation of the interaction design’s
perception and analysis of environmental information applicability and the precision of information transmission
around the vehicles as well as the user’s state and in real-world driving contexts.
requirements. The system can comprise three agents:
the environment-aware agent, the user-behavior agent, 3.2.3. User state monitoring and personalized
and the interaction agent, as illustrated in Figure 3. The regulation
environment-aware agent employs a vision-language model The autonomous decision-making capabilities of the
to conduct real-time perception of road conditions, traffic MAS and the precise simulation of the HDT technology

Figure 3. The personalized interactive interface design empowered by the multi-agent system and human digital twin

Volume 1 Issue 3 (2024) 10 doi: 10.36922/ijamd.4220