This project showcases my full spectrum multimedia command, integrating advanced motion graphics and original sound design to solve a critical training challenge for the fictional Prometheus Orbital Habitation Station.
The simulation opens with a cinematic video sequence to gain attention and transition the user into the scenario. The user, acting as the Flight Engineer, first reviews fire safety protocols via an interactive terminal. The scenario then begins with a voice over from the Commander, notifying the user of a fire in a critical sector of the station.
The goal was to ensure learners could accurately diagnose the environmental indicators (O2, CO2, Temp, and PSI) and execute the correct fire mitigation procedure, prioritizing life support and structural integrity.
This module is built around a two-stage branching decision tree with immediate, high consequence feedback.
The first decision offers three choices (Correct, Fixable Error, Catastrophic Failure), while the second is a critical choice between destruction and successful mitigation.
A simulated Head-Up Display (HUD) provides environmental data. These levels change dynamically based on the user's choices, achieved through Articulate Storyline variables updating motion graphics. This system effectively mimics real-time data integration to provide an authentic diagnostic challenge. The correct action requires the user to utilize CO2 to disperse the fire.
The visuals (station exterior and interior) are high-fidelity blends of AI generation, Photoshop refinement, and After Effects animation, demonstrating accelerated production efficiency. All narration is delivered via AI-generated voice-over (ElevenLabs), which is then mixed and mastered in Audition alongside original music and custom atmospheric sound effects (Propellerhead Reason).
Users receive immediate visual and audio feedback, including catastrophic failure states, with the option to restart the decision trees for mastery.
This project demonstrates my ability to transform complex scientific knowledge into an engaging, interactive technical education tool. It leverages my deep expertise in Biology and Certified Sommelier certification to ensure maximum credibility and accuracy in the visual content.
The module begins with an introduction to the four key ingredients: malt, hops, water, and yeast, using a mix of text, video, and high-quality imagery. The content is structured into four distinct sections, each focusing on a specific ingredient's biological function and sensory impact.
The module's goal was for learners to accurately analyze the relationship between key variables (malt colour, hop utilization time, yeast temperature) and the final sensory profile of beer, demonstrating high-level content knowledge.
The learning is driven by interactive data and dynamic visual feedback:
Users click various malt shades, immediately changing the beer's colour and presenting text on base, mid, and dark malts. This connects process (malting) to sensory outcome.
Includes a slider interaction models a 60-minute boil, visually demonstrating hop utilization levels at different time/temperature points. This uses dynamic video elements (hop yards, steam) and technical graphics created in After Effects.
The temperature slider interaction allows users to select a yeast strain and experiment with fermentation temperature. The text explains the chemical process in non-ideal conditions, while the glass of beer visually transitions from a clear, ideal state to a hazy, non-ideal state based on temperature.
The water section utilizes old historical photos (e.g., Burton-on-Trent) which were brought to life using After Effects, Google Veo3 and AI generated effects, demonstrating advanced visualization techniques even on static historical assets.
This project deliberately focuses on visual and interactive clarity, demonstrating expertise in Mayer's Multimedia Principles by avoiding redundant narration and prioritizing interactive feedback.
I developed this high fidelity, scenario based simulation to address a critical performance gap: the accurate and rapid transmission of complex command data under extreme, time sensitive pressure. Targeting emergency response or specialized military personnel, this module converts a zero tolerance procedure into an immersive, practical assessment.
The Challenge: In high stakes situations like medical evacuation (MEDEVAC), human error in transmitting critical data—such as patient vitals, coordinates, or mission parameters—can lead to mission failure and loss of life. I determined that standard multiple choice eLearning was inadequate for training this complex, detail oriented task.
The Solution: I designed an Articulate Storyline module that fully immerses the learner in a proprietary Command Console environment. The solution requires the learner to input and validate nine distinct lines of data, forcing the adoption of methodical, error free procedures despite the simulated stress and time constraints.
Custom Interface Development: The central element of the module is a custom built, realistic Communications Console interface. I developed this using HTML and JavaScript, deployed within Storyline as a Web Object to provide true interactive fidelity.
Real Time Data Architecture: My JavaScript code executes a robust validation routine, checking all nine lines of user input simultaneously for content, format, and sequence. This system demands high precision in data entry, directly mirroring operational requirements.
Blended Design Pipeline: All visual assets, including the console interface and in scenario animations, were created using a sophisticated mixed media approach. I leveraged the precision of the Adobe Creative Suite (After Effects, Photoshop) for structural elements, combined with Generative Design Tools for rapid prototyping and unique visual effects.
Seamless Communication: The simulation utilizes JavaScript to Storyline communication to manage the learner’s progression. Upon successful, error free data entry, my JavaScript transmits a Boolean True value to a Storyline variable (JS_ValidationStatus), which immediately triggers the next event in the scenario.
The simulation shifts the focus from simple knowledge recall to procedural execution and data integrity. Learners develop the skill set required for flawless data handling in a high stress environment, significantly minimizing the risk of procedural error in critical, real world operations.