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Multimodal Interaction in Augmented Reality
Description:
The project's primary goal is to implement different interaction techniques and determine which one is preferable by the users, ensuring usability and useful user experiences for wearable AR devices such as Magic Leap. I considered two of the interaction techniques: controller interaction and hand gestures. For accomplishing this project, I completely followed UX design steps: sketching, prototype design (low fidelity to high fidelity) and final/complete design.
Skills: User experience, Usability, User interaction, Unity, C#
Graduate Course Name: Human Computer Interaction
Year: 2020
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Analysis of Distance Judgements Considering Peripheral Visual Effect using R
Description:
For this project, I have replicated the findings of one of the papers from our lab, paper link is: https://dl.acm.org/doi/10.1145/2077451.2077457. The paper conducted a series of four experiments comparing depth perception. I reanalyzed the paper’s data and replicated the graphs using R.
Skills: R, Data Visualization
Graduate Course Name: Data Science, Concepts and Practice
Year: 2020
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Anaglyph Rendering of 3D Model in WebGL
Description:
In this project, I worked on stereoscopic rendering of the 3D model in WebGL. Among the stereoscopic methods, I chose Anaglyph that renders two separate images for both eyes. While viewing with the color-coded Anaglyph glass, it reveals a combined Anaglyphic model or texture. I applied asymmetric frustum perspective projection and used Color-mask for color processing of the model. I explored different Anaglyph methods, such as True, Optimized, and Color Anaglyph, for implementing different textures.
Skills: WebGL, JavaScript
Graduate Course Name: Computer Graphics
Year: 2019
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Social Engineering with Road Apple Approach
Description:
This is a group project. The project aims to design and execute a social engineering test of the Road Apple Approach, which focuses on identifying the vulnerable people by placing a QR code on a flyer, which increases curiosity among them. The interest makes the targets more susceptible to scanning the QR and clicking the previously created link, leading them to a website, letting them know they are socially engineered or scammed. Later, we took an optional survey from the targets to analyze to figure out the targets' vulnerability rate for being scammed.
Skills: HTML, CSS
Graduate Course Name: Social Engineering
Year: 2019