Whether or not a product matches the user’s mental model and therefore his understanding of how it works influences the perceived usability. Therefore, it is beneficial if an interface is based on the user’s initial mental model, hence it works just as expected. If it contradicts preexisting models, operating errors and frustrated users are to be expected. This work proposes a method to increase the probability of correspondence between a developed product and the user’s mental model by addressing a common source of error in the product development process: Product designers assuming their own mental model matches the user’s. The process was demonstrated using the example of an adaptive user interface for commercial vehicles. A questionnair...
Research has shown that training a user to apply a Mental Model while learning to use a system impro...
Contemporary studies have focused on the development of rear collision avoidance or warning systems...
Research has shown that training a user to apply a Mental Model while learning to use a system impro...
AbstractThe human machine interface is the most important factor to operate correctly, accurate and ...
In order to advise the interface design robust to model changes, this study reports results of trans...
As vehicles get more automated it also becomes harder for the users to fully understand them. Previo...
Automated driving systems (ADS) in urban road traffic incorporate external human-machine interfaces ...
University Transportation Centers Program2021PDFTech ReportPradhan, Anuj K.Pai, GaneshKnodler, Micha...
With the development of automated driving technologies, human factors involved in automated driving ...
Higher level cognitive processes such as learning and mental models play a fundamental role in the s...
Increasingly lay people are interacting and attempting to acquire proficiency in technical devices a...
The phenomenon of mental models has long been studied in both cognitive science and HCI, yet their i...
This paper presents a methodology for designing automotive user interfaces using Situation Awareness...
A majority of recently developed advanced vehicles have been equipped with various automated driver ...
Cars, trucks and busses are more and more equipped with functions and services that drivers are supp...
Research has shown that training a user to apply a Mental Model while learning to use a system impro...
Contemporary studies have focused on the development of rear collision avoidance or warning systems...
Research has shown that training a user to apply a Mental Model while learning to use a system impro...
AbstractThe human machine interface is the most important factor to operate correctly, accurate and ...
In order to advise the interface design robust to model changes, this study reports results of trans...
As vehicles get more automated it also becomes harder for the users to fully understand them. Previo...
Automated driving systems (ADS) in urban road traffic incorporate external human-machine interfaces ...
University Transportation Centers Program2021PDFTech ReportPradhan, Anuj K.Pai, GaneshKnodler, Micha...
With the development of automated driving technologies, human factors involved in automated driving ...
Higher level cognitive processes such as learning and mental models play a fundamental role in the s...
Increasingly lay people are interacting and attempting to acquire proficiency in technical devices a...
The phenomenon of mental models has long been studied in both cognitive science and HCI, yet their i...
This paper presents a methodology for designing automotive user interfaces using Situation Awareness...
A majority of recently developed advanced vehicles have been equipped with various automated driver ...
Cars, trucks and busses are more and more equipped with functions and services that drivers are supp...
Research has shown that training a user to apply a Mental Model while learning to use a system impro...
Contemporary studies have focused on the development of rear collision avoidance or warning systems...
Research has shown that training a user to apply a Mental Model while learning to use a system impro...