IEEE transactions on visualization and computer graphics
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IEEE Trans Vis Comput Graph · May 2019
Functional Workspace Optimization via Learning Personal Preferences from Virtual Experiences.
The functionality of a workspace is one of the most important considerations in both virtual world design and interior design. To offer appropriate functionality to the user, designers usually take some general rules into account, e.g., general workflow and average stature of users, which are summarized from the population statistics. Yet, such general rules cannot reflect the personal preferences of a single individual, which vary from person to person. ⋯ At last, the cost function is optimized to achieve an optimal layout. To evaluate the approach, we experimented with different settings. The results of the user study show that the workspaces updated in this way better fit the users.