Abstract: A system for simulating human-like affect-driven behavior includes a hardware processor and a system memory storing software code providing a virtual agent. The hardware processor executes the software code to identify a character assumed by the virtual agent and having a personality, a target state of motivational fulfillment, a baseline mood, and emotions. The software code identifies current physical and motivational fulfillment states, and currently active emotions of the character, and determines a current mood of the character based on the baseline mood and the currently active emotions. The software code further detects an experience by the character and plans multiple behaviors including a first behavior based on the experience and the current physical state, the second behavior based on the experience, the personality, the current mood, and the currently active emotions, and a third behavior based on the target and current states of motivational fulfillment.

Abstract: A storytelling system includes location-based content (LBC) servers and LBC effects databases for use in a real-world story venue, and a computing platform communicatively coupled to those LBC servers and databases. A processor of the computing platform executes software code to receive story selection data from a user device, obtain a story template including story arcs each associated with one or more LBC effect(s) that corresponds to the story selection data, and determine, using a location of the user device, one of the story arcs as an active story arc. The software code also identifies an LBC interaction zone for the LBC effect(s), designates one LBC server and one LBC effects database for supporting the active story arc, and distributes one or more of the LBC effect(s) to the designated database. The designated server enables instantiation of the one or more of the LBC effect(s) at the LBC interaction zone.

Abstract: A system for simulating human-like affect-driven behavior includes a hardware processor and a system memory storing software code providing a virtual agent. The hardware processor executes the software code to identify a character assumed by the virtual agent and having a personality, a target state of motivational fulfillment, a baseline mood, and emotions. The software code identifies current physical and motivational fulfillment states, and currently active emotions of the character, and determines a current mood of the character based on the baseline mood and the currently active emotions. The software code further detects an experience by the character and plans multiple behaviors including a first behavior based on the experience and the current physical state, the second behavior based on the experience, the personality, the current mood, and the currently active emotions, and a third behavior based on the target and current states of motivational fulfillment.

Abstract: A storytelling system includes location-based content (LBC) servers and LBC effects databases for use in a real-world story venue, and a computing platform communicatively coupled to those LBC servers and databases. A processor of the computing platform executes software code to receive story selection data from a user device, obtain a story template including story arcs each associated with one or more LBC effect(s) that corresponds to the story selection data, and determine, using a location of the user device, one of the story arcs as an active story arc. The software code also identifies an LBC interaction zone for the LBC effect(s), designates one LBC server and one LBC effects database for supporting the active story arc, and distributes one or more of the LBC effect(s) to the designated database. The designated server enables instantiation of the one or more of the LBC effect(s) at the LBC interaction zone.

Abstract: A storytelling system includes location-based content (LBC) servers and LBC effects databases for use in a real-world story venue, and a computing platform communicatively coupled to those LBC servers and databases. A processor of the computing platform executes software code to receive story selection data from a user device, obtain a story template including story arcs each associated with one or more LBC effect(s) that corresponds to the story selection data, and determine, using a location of the user device, one of the story arcs as an active story arc. The software code also identifies an LBC interaction zone for the LBC effect(s), designates one LBC server and one LBC effects database for supporting the active story arc, and distributes one or more of the LBC effect(s) to the designated database. The designated server enables instantiation of the one or more of the LBC effect(s) at the LBC interaction zone.

Abstract: A system for simulating human-like affect-driven behavior includes a hardware processor and a system memory storing software code providing a virtual agent. The hardware processor executes the software code to identify a character assumed by the virtual agent and having a personality, a target state of motivational fulfillment, a baseline mood, and emotions. The software code identifies current physical and motivational fulfillment states, and currently active emotions of the character, and determines a current mood of the character based on the baseline mood and the currently active emotions. The software code further detects an experience by the character and plans multiple behaviors including a first behavior based on the experience and the current physical state, the second behavior based on the experience, the personality, the current mood, and the currently active emotions, and a third behavior based on the target and current states of motivational fulfillment.

Abstract: A storytelling system includes location-based content (LBC) servers and LBC effects databases for use in a real-world story venue, and a computing platform communicatively coupled to those LBC servers and databases. A processor of the computing platform executes software code to receive story selection data from a user device, obtain a story template including story arcs each associated with one or more LBC effect(s) that corresponds to the story selection data, and determine, using a location of the user device, one of the story arcs as an active story arc. The software code also identifies an LBC interaction zone for the LBC effect(s), designates one LBC server and one LBC effects database for supporting the active story arc, and distributes one or more of the LBC effect(s) to the designated database. The designated server enables instantiation of the one or more of the LBC effect(s) at the LBC interaction zone.

Abstract: A system for simulating human-like affect-driven behavior includes a hardware processor and a system memory storing software code providing a virtual agent. The hardware processor executes the software code to identify a character assumed by the virtual agent and having a personality, a target state of motivational fulfillment, a baseline mood, and emotions. The software code identifies current physical and motivational fulfillment states, and currently active emotions of the character, and determines a current mood of the character based on the baseline mood and the currently active emotions. The software code further detects an experience by the character and plans multiple behaviors including a first behavior based on the experience and the current physical state, the second behavior based on the experience, the personality, the current mood, and the currently active emotions, and a third behavior based on the target and current states of motivational fulfillment.

Abstract: Where images are displayed such that unintended light is also included and that light cannot be fully subtracted from the displayed image, an image processor compensates by compensating for the remaining light using perceptual models. In some cases, the perceptual model includes a plurality of user sensitivities and computation is performed, at least in part, based on expected user sensitivity to light pollution in portions of the images. The perceptual model might include a contrast sensitivity function, threshold-vs-intensity, saliency prediction and visual masking. The model might include artist indications of view attention. A light pollution likelihood map might be used to reduce the amount of computation needed, using a likelihood measure to determine an amount of computation to perform.

Abstract: Where images are displayed such that unintended light is also included and that light cannot be fully subtracted from the displayed image, an image processor compensates by compensating for the remaining light using perceptual models. In some cases, the perceptual model includes a plurality of user sensitivities and computation is performed, at least in part, based on expected user sensitivity to light pollution in portions of the images. The perceptual model might include a contrast sensitivity function, threshold-vs-intensity, saliency prediction and visual masking. The model might include artist indications of view attention. A light pollution likelihood map might be used to reduce the amount of computation needed, using a likelihood measure to determine an amount of computation to perform.