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Conference Papers Year : 2023

User-Driven Constraints for Layout Optimisation in Augmented Reality


Automatic layout optimisation allows users to arrange augmented reality content in the real-world environment without the need for tedious manual interactions. This optimisation is often based on modelling the intended content placement as constraints, defined as cost functions. Then, applying a cost minimization algorithm leads to a desirable placement. However, such an approach is limited by the lack of user control over the optimisation results. In this paper we explore the concept of user-driven constraints for augmented reality layout optimisation. With our approach users can define and set up their own constraints directly within the real-world environment. We first present a design space composed of three dimensions: the constraints, the regions of interest and the constraint parameters. Then we explore which input gestures can be employed to define the user-driven constraints of our design space through a user elicitation study. Using the results of the study, we propose a holistic system design and implementation demonstrating our user-driven constraints, which we evaluate in a final user study where participants had to create several constraints at the same time to arrange a set of virtual contents. CCS CONCEPTS • Human-centered computing → Interactive systems and tools.
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Dates and versions

hal-04042351 , version 1 (23-03-2023)



Aziz Niyazov, Barrett Ens, Kadek Ananta Satriadi, Nicolas Mellado, Loïc Barthe, et al.. User-Driven Constraints for Layout Optimisation in Augmented Reality. ACM Conference on Human Factors in Computing Systems (CHI 2023 ), Apr 2023, Hambourg, Germany. ⟨10.1145/3544548.3580873⟩. ⟨hal-04042351⟩
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