Research On Aging Design Strategy Of Vehicle Human-Computer Interaction Interface Based On Cognitive Load Theory

With the increasing aging of China ’s society and the development of the automobile industry,the number of elderly people who drive themselves is growing.As the physiological and psychological characteristics of elderly drivers change with age,their physical and cognitive functions differ from those of young drivers.Advanced technology also increases the functionality and information volume of the human-machine interface in cars,and the information struc ture becomes more complex.This has increased the cognitive load on elderly drivers to some extent,leading to a decrease in their cognitive efficiency in perceiving interface information,which affects their driving experience and safety.Therefore,to address the low level of age-ap propriateness in current car-human interaction interfaces and the overload of cognitive load among elderly drivers in car-interaction,it is necessary to research cognitive psychology and d esign to explore age-appropriate design strategies for car-human interaction interfaces based on cognitive load theory.Firstly,the cognitive load theory foundation,characteristics of the elderly population,and analysis of the car-human interaction interface have led to the classification of cognitive load and its influencing factors,as well as the physiological,psychological,and cognitive charact eristics of the elderly population,and the design processes and types of car-human interaction interfaces.Secondly,based on the cognitive psychology information processing process,the c ar-human interaction interface information processing model was inferred,and the cognitive load generation mechanism model was proposed,combining the relevant elements of car-huma n interaction interface design.The quantification research method and control strategy for cognitive load in car-human interaction interface were analyzed.Then,based on real outdoor experiments of in-vehicle interaction behaviors of elderly drivers,two interaction methods were compared and analyzed in terms of various indicators,with a focus on exploring the differences in the time required for elderly drivers to complete inter action tasks under different automobile human-machine interface interaction methods,to clarify the characteristics of users’ in-vehicle interaction behavior.Later,through experimental res earch on cognitive memory efficiency of human-machine interaction digital interfaces,the me mory and cognitive efficiency of human-machine interaction digital interfaces were studied us ing the experimental paradigm of cognitive psychology,"memory-recognition." The cognitive memory characteristics of the target users and the factors affecting cognitive load were analy zed based on experimental data.Finally,the impact factors of cognitive load in interaction interface design for the elderly were analyzed and sorted out in interaction behavior design,matched and related to the cognitive stages in the interaction interface information processing process,and a model for age-app ropriate design of the automobile human-machine interaction interface based on cognitive load theory was constructed.Corresponding design strategies were proposed for the three cogniti vestages of "perception," "cognition and decision-making," and "behavioral response." In summary,this study proposes an age-appropriate design model and strategies for the automobile human-machine interaction interface based on cognitive load theory through theoretical and experimental research,aiming to reduce the cognitive load of elderly drivers and improve their interaction performance and driving safety.