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DTSC 5777 – Virtual Reality and its Applications Spring 2025 GOAL AND OBJECTIVES: Goal: To develop a Unity-based simulator that provides safe, customizable, and progressive exposure to phobias, thereby aiding in therapy. Exposure therapy is a proven treatment method. By using Unity, we can replicate real-life triggers in a controlled, repeatable virtual space, helping users build coping strategies step by step. I want 5 levels in each Phobia setting. Objectives: Create multiple phobia scenarios (e.g., heights, enclosed spaces, social settings). Implement adaptive difficulty to adjust stress levels based on user performance. Log user data (time spent, actions taken) for analysis by clinicians or researchers. Ensure user safety with easily accessible exit options and gradual exposure. Develop five distinct phobia-specific scenarios: Tachophobia (Fear of Speed) Acrophobia (Fear of Heights) Claustrophobia (Fear of Enclosed Spaces) Nyctophobia (Fear of Darkness) Hematophobia (Fear of Blood) Modeling: The envisioned virtual environment for the Exposure Therapy Simulator is designed to provide immersive and realistic settings that progressively expose users to their specific phobia triggers in a controlled manner. The assets will be developed using 3ds Max (or Google SketchUp) and integrated into Unity to ensure high-quality geometry, textures, animations, and interactive functionality. Phobia-Specific Scenes 1. Tachophobia (Fear of Speed) Environment: Users experience a progressively increasing speed in various transportation settings, such as a moving car, a roller coaster, or a high-speed elevator. Environmental Elements: Moving vehicles, rapid acceleration effects, wind and motion blur simulations. NPC Interaction: A virtual driving instructor or travel companion provides AI-generated calming strategies and guidance. Adaptive Challenge: Gradual speed increases, optional ability to slow down exposure pace. Difficulty Levels: Starts with slow movement, gradually increasing velocity with reduced control to simulate real-world scenarios. 2. Acrophobia (Fear of Heights) Environment: High-altitude locations such as a glass bridge, a skyscraper edge, or a rooftop. Environmental Elements: Realistic elevation effects, wind sounds, transparent or shaky surfaces. NPC Interaction: A virtual safety guide reassures the user with AI-generated coping strategies. Adaptive Challenge: Increasing height exposure with time, stability changes (e.g., wobbling platforms). Difficulty Levels: Starts with standing on a low balcony and gradually progresses to crossing narrow, unstable surfaces at extreme heights. 3. Claustrophobia (Fear of Enclosed Spaces) Environment: Tight and enclosed spaces like an elevator, a small tunnel, or a confined room. Environmental Elements: Diminishing space, air circulation effects, simulated pressure. NPC Interaction: A virtual therapist or fellow passenger offers AI-generated relaxation techniques. Adaptive Challenge: Gradual enclosure of space, controlled air pressure variations. Difficulty Levels: Starts with a moderately sized room, reducing space or increasing crowd density over time. 4. Nyctophobia (Fear of Darkness) Environment: Dark settings such as an unlit alley, a forest at night, or a blackout in a house. Environmental Elements: Dim lighting, sudden noise cues, moving shadows. NPC Interaction: A virtual companion offers AI-generated grounding exercises and breathing techniques. Adaptive Challenge: Gradual light reduction, timed exposure to deeper darkness. Difficulty Levels: Begins with low lighting, progressing to pitch-black environments with unexpected auditory cues. 5. Hematophobia (Fear of Blood) Environment: Clinical settings like a hospital, an emergency room, or a surgery simulation. Environmental Elements: Visual representation of blood in controlled quantities, increasing exposure. NPC Interaction: A virtual nurse or doctor provides AI-generated reassurance and rational coping mechanisms. Adaptive Challenge: Incremental exposure to blood, from small drops to larger amounts. Difficulty Levels: Starts with images of blood, progressing to witnessing medical procedures with increasing realism. Environmental Elements Buildings & Interiors: Design: Modern structures with realistic interiors such as office spaces, classrooms, or therapy rooms. Furniture & Decor: Detailed models of desks, chairs, lights, and decorative elements to make a familiar yet challenging environment. Outdoor & Landscaping Elements: Natural Elements: Trees, bushes, and landscape gardens that add depth to outdoor scenarios. Urban Features: Sidewalks, street furniture, and urban landscaping for scenarios like crowded public spaces. People & NPCs: Crowd Simulation: AI-driven characters with basic walking, gesturing, and interaction animations to simulate real-life social settings. Behavior: NPCs will respond dynamically to the user’s presence, supporting gradual exposure through controlled social interactions. AI Assistance: Specific NPCs in each scene deliver ChatGPT-generated advice to help users manage their fears in real-time. Planned Geometry and Texturing Geometry: Optimized 3D models with varying levels of detail—high-detail for interactive and focal areas, lower-detail for background elements—to maintain performance without sacrificing realism. Textures & Materials: High-resolution texture maps for surfaces such as walls, furniture, and natural elements. Realistic materials mimic wood, metal, glass, and natural textures, enhancing the immersive quality of the environment. Animations, Behavior, and Functionality Animations: Environmental Animations: Dynamic elements like swaying trees, flickering lights, and animated doors to make a responsive atmosphere. NPC Animations: Standard movements such as walking, idle gestures, and interactive responses that adapt to the scene’s difficulty level. Behavior and Functionality: Adaptive Elements: The environment will adjust based on user performance—for example, increasing crowd density or altering lighting intensity as exposure levels change. Interactivity: Users can interact with environmental objects (e.g., opening doors, pressing buttons) and NPCs through simple input methods. Physics & Collisions: Utilization of Unity’s physics engine to ensure realistic interactions and movement within the environment. Application Use Envisioned Users: Individuals undergoing exposure therapy for phobias. Navigation: Users will navigate the environment using a first-person controller via keyboard/mouse or VR controllers. The intuitive navigation system allows for free exploration while keeping the user within the therapeutic parameters. Interactions UI Elements: On-screen menus for scenario selection, settings adjustments, and real-time feedback. Environmental Interaction: Users can interact with objects and Specific Scenario AI integrated NPCs to trigger adaptive responses, mirroring real-world decision-making processes. Therapeutic Engagement: The system is designed to gradually increase exposure intensity based on user responses, enabling a tailored therapeutic experience. Therapeutic Engagement: Gradual exposure intensity increase based on user performance. This modeling approach aims to make a visually rich, interactive environment that replicates real-world settings in a controlled manner. It is designed to provide a safe space for users to confront and gradually overcome their anxieties, while allowing therapists to monitor progress and adjust the simulation dynamically. Vision 3D Models and Textures: Creation: Detailed 3D models of buildings, furniture, landscaping elements (trees, paths, benches) will be created using 3ds Max (or Google SketchUp). Application: High-resolution textures and normal maps will be applied in Unity to provide realistic surfaces (e.g., brick walls, wooden floors) and enhance visual fidelity. Usage: The environment will offer immersive, visually rich scenes where users can explore both indoor and outdoor settings. Sound Ambient and Contextual Audio: Ambient Sounds: Background noises (city sounds, nature ambiance) and subtle music tracks will be integrated using Unity’s Audio Manager. Guided Prompts: AI-generated tips and coping strategies delivered by NPCs. Implementation: Audio sources will be strategically placed within the environment so that sounds vary with location, contributing to a dynamic auditory experience. Animation Animated Objects (At least Three): Example 1: A revolving door with continuous animation to simulate an entryway. Example 2: A digital clock on a wall with moving hands that reflects the passage of time. Example 3: NPCs (non-player characters) will have walking and idle animations imported into Unity. Implementation: Animations will be managed with Unity’s Animator component, ensuring smooth transitions and synchronization with scene events. Interactivity User-Triggered Events (At least Three): Event 1: Door Interaction: The player can press a button to open or close doors, triggering an animation and sound effect. Event 2: Control Panel Activation: Users can interact with a panel that adjusts environmental settings (e.g., ambient noise level, lighting intensity) to simulate adaptive difficulty. Event 3: NPC Dialogue Trigger: Approaching scene-specific NPCs will initiate a dialogue for AI-generated tips, providing users with coping strategies tailored to their specific phobia. Implementation: These events will be scripted in C# and managed through Unity’s event system and collision/trigger detection. Character’s Behaviors Animated Agents and NPCs: Path-Following: NPCs will utilize Unity’s NavMesh system for navigation, following pre-defined routes in crowded or public scenarios. Behavior Variation: Agents can exhibit behaviors such as approaching the player when idle, avoiding collisions, or engaging in simple interactions (e.g., greeting, moving aside). Implementation: Custom AI scripts will manage NPC behavior, incorporating both inbuilt path-following and scripted event responses. Sensors Multiple Sensor Triggers (At least Three): Proximity Sensor: Colliders and trigger zones detect when a player nears an object or NPC, initiating events like dialogue or environmental changes. Time Sensor: Timed triggers will adjust environmental factors (e.g., gradually increasing background noise or crowd density) as a session progresses. Touch/Collision Sensor: When the player interacts physically with an object (e.g., pressing a button), a trigger event will execute an animation or sound cue. Implementation: Unity’s physics engine and event handlers (OnTriggerEnter, OnCollisionEnter) will monitor these sensor events. Player Player Controller: Choice: A Third-Person Controller will be added to allow navigation through the environment, using standard keyboard/mouse inputs or VR controllers for immersive sessions. Implementation: Unity’s standard character controller asset will be customized to suit the project’s requirements and integrated with the environment’s interaction systems. AI Implementation Dynamic AI and Behavior Control: Navigation & Decision-Making: NPCs will use Unity’s NavMesh for efficient pathfinding. Behavioral Variations: A user menu will allow therapists or administrators to assign different AI behaviors (selfish, altruistic, adaptive) to NPCs. Integration: Future integration with Chat GPT or a dedicated NPC AI Engine will enable natural voice interactions and dynamic dialogue, enhancing realism. Implementation: Custom C# scripts and Unity’s AI components will facilitate these behaviors and enable real-time adjustments. Interface Elements User Interface Design: Menus and Buttons: An intuitive in-game UI will include menus for scenario selection, settings adjustments, and real-time feedback. Display: Unity’s Canvas system will be used to create responsive interface elements that work across both desktop and VR modes. Implementation: The UI will be integrated with other systems (adaptive difficulty, AI controls) to provide cohesive user experience. Mobile Version A simplified mobile version with on-screen joystick controls could be developed for broader accessibility. Target Audience Users: Individuals undergoing exposure therapy for phobias. Mental health professionals who use the simulator as an adjunct tool for therapy sessions. Researchers exploring digital interventions for mental health. Software Requirements Unity 3D: The primary game engine for building the simulator, chosen for its robust support for 3D environments, VR integration, and a large community with extensive documentation. Integrated Development Environment (IDE): Visual Studio or Visual Studio Code for C# scripting and debugging. 3D Modeling Software: 3ds Max or Google SketchUp for creating detailed models, textures, and animations of environments, furniture, and NPCs. Hardware Requirements Standard keyboard and mouse for development. VR Hardware (Optional but Recommended for Immersion): VR headset such as the Oculus to test and deploy immersive virtual reality experiences.

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