Human Machine Interaction


The collaborative design strategy between human and artificial intelligence brings a new perspective into design thinking. Rather than using a top down strategy, where the designer searches for the preferred solution manually and optimizing the selected solution in a later step, s/he becomes the builder of the process, investigating the topological relations between the parameters and objectives. The design solutions then will emerge by the computer’s involvement using the design variables in different combinations iteratively providing an evaluation of each solution regarding the objective values. This way computer’s role changes from being a problem solver or a decisive party into a suggestive collaborator, providing the designer with an overview on multiple solutions. The decision making remains in the hands of the designer, weighing and comparing the benefits of different solutions.
This method can be compared to the theory of emergence, which suggests that the certain behavioral patterns of larger systems are triggered by the interaction of the smaller and simpler components within. Looking into the design process from the perspective of emergence, the parameters become the components of the system that compose different solutions by interacting with each other. The interactions between parameters will influence the overall behavior of the system. The overall behavior can be than evaluated by understanding the relation between the parameters and objectives.

ResearchAim-01

Optimizing_Agents_Behaviour