In the context of the IEEE VR 2022 3DUI Contest entitled "Arts, Science, Information, and Knowledge -Visualized and Interacted", this paper presents a VR application to highlight the usage of the rubber slider metaphor. The rubber slider is an augmentation of usual 2D slider controls where users can bend the slider axis in order to control an additional degree of freedom value in the application. This demonstration immerses users in a Virtual Environment where they will be able to explore a database of art pieces geolocated on a 3D earth model and their corresponding art movements displayed on a timeline interface.
Simulating human behavior in virtual environments is still a challenge. Yet, this feature is crucial to make them more believable. Therefore, many approaches have been proposed in order to find ways to faithfully simulate human behavior. One of the key features to make a virtual agent more believable is the simulation of needs such as hunger or tiredness. Unfortunately, most of the existing approaches in needs simulation do not really address the issue of long-term simulations where some problems may appear such as time drift. Yet, this kind of simulation is useful in many fields like video games or virtual data generation. This is why, in this paper, we focus on the creation of a needs model designed for long-term simulations. According to this model, needs can evolve over several simulated days without interruption. This model is configured to obtain a proper relation between control and autonomy in order to have a coherent behavior during long periods. This paper deals with the key features to set up this needs model and introduces some preliminary results to check the coherence of the agent behavior.
Simulating human behavior through virtual agents is a key feature to improve the credibility of virtual environments (VE). For many use cases, such as daily activities data generation, having a good ratio between the agent's control and autonomy is required to impose specific activities while letting the agent be autonomous. This is why we propose a model allowing a user to configure the level of the agent's decisionmaking autonomy according to their requirements. Our model, based on a BDI architecture, combines control constraints given by the user, an internal model simulating human daily needs for autonomy, and a scheduling process to create an activity plan considering these two parts. Using a calendar, the activities that must be performed in the required time can be given by the user. In addition, the user can indicate whether interruptions can happen during the activity calendar to apply an effect induced by the internal model. The plan generated by our model can be executed in the VE by an animated agent in real-time. To show that our model manages well the ratio between control and autonomy, we use a 3D home environment to compare the results with the input parameters.
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