PROPOSALS

Project 1 Proposal 

Presentation for Project 1 Proposal

End Presentation for Project 1

Project 2 Proposal

Presentation for Project 2 Proposal <ADD LINK>

Poster <ADD LINK>

In-class Activity <ADD LINK>

Public Demo <ADD LINK>

ALL OTHER WIKI CONTRIBUTIONS

CONTRIBUTION 1 : Replace with another link in VR in the performing arts page.

CONTRIBUTION 2 : Artivive as platform for creatives example in VR in the performing arts page.

CONTRIBUTION 3 : Added Cinema4D to VR modeling software page.

CONTRIBUTION 4 : Added AR for real world sensing page.

CONTRIBUTION 5 : Added Comparison page. (OpenXR VS Meta XR SDK Package Comparison)

CONTRIBUTION 6 : Added Capture Passthrough Camera Frames in Unity page.

CONTRIBUTION 7 : Added Passthrough Brightness Controller Tutorial page.

CONTRIBUTION 8 : Added  Passthrough Brightness control by creating lighting spheres page. ( Step by step tutorial, resources, How to make the brightness layer more natural? What does 0.5f convert to in lux light intensity? User experience of lighting modification using lighting spheres in AR) 

CONTRIBUTION 9 : Added URP VS Standard Render Pipeline in Comparison page. 

LEARNING GOALS 

before after
----  ----
| 1 | 4 | Goal 1: articulate AR/VR visualization software tool goals, requirements, and capabilities;
| 3 | 4 | Goal 2: construct meaningful evaluation strategies for software libraries, frameworks, and applications; strategies include surveys, interviews, comparative use, case studies, and web research;

| 2 | 4 | Goal 3: execute tool evaluation strategies;
| 1 | 3 | Goal 4: build visualization software packages;
| 1 | 3 | Goal 5: comparatively analyze software tools based on evaluation;
| 1 | 4 | Goal 6: be familiar with a number of AR/VR software tools and hardware;
| 1 | 4 | Goal 7: think critically about software;
| 4 | 5 | Goal 8: communicate ideas more clearly;
| 1 | 4 | Goal 9: Know when/where VR&AR data visualization would be effective

HOURS journal

3/19/25 -   1.5 hour

• Prepare project 2 presentation

3/17/25 -   2.5 hours

• Read Seven Scenarios paper

• Draft project 2 plan here

Project Evaluation

I can use...

1. Understanding Environments and Work Practices (UWP) 

• I can research and analyze how lighting decisions are currently made in different environments (e.g., offices, classrooms, homes). 

• I can talk to RISD interior architecture students / architecture student / students who moved recently to understand their pain points and expectations when making decisions on lighting.

2. Evaluating User Performance (UP)

• I can give a task to users ( for instance to aim for a certain lux number) and measure task efficiency and accuracy in adjusting lighting in passthrough environment. Time taken to achieve a target light intensity could be the metric.

3. Evaluating User Experience (UE)

• User experience will be qualitatively assessed through surveys and discussions. (Similar to project 1 surveys)

• I will collect feedback on ease of use, clarity of UI, and overall satisfaction.

4. Evaluating Visualization Algorithms (VA) 

• The accuracy and computational efficiency of light intensity detection could be tested.

• How precisely the tool detects lighting conditions would be the key performance metric.

3/16/25 -   2 hours

• Project 2 ideation & Research

3/14/25 -   1 hour

• Catch up with class activity

3/12/25 -   5.5 hours

• Prepare final presentation

• Add wiki page Passthrough Brightness control by creating lighting spheres

• Catch up with class activity

3/10/25 -   1 hours

• Catch up with class activity

  • Conner, Aarav

3/9/25 -   4 hours

• Prepare class activity

2/27/25 -   7 hours

• Work on project

  • adjust lighting by creating and deleting light source

2/27/25 -   3 hours

• Work on project

  • create lighting spheres using controller

2/26/25 -   2 hours

• Work on project

  • Try out building blocks

2/24/25 -   3.5 hours

• Add Which option is better, URP vs Standard Render Pipeline? to the wiki

• Prepare presentation

2/20/25 -   3.5 hours

• https://github.com/t-34400/QuestMediaProjection?tab=readme-ov-file

• Tried using plugin above on previous project with pass through already set up

• Alternatives

  • Connect a photoresistor + arduino + unity to collect data through photoresistor and visualize in unity

• How would I map that?

• • Use the controller as the trigger (time) to get the data from arduino?

2/19/25 -  2 hours

• Unity AVP lab

2/18/25 -  5 hours

• Work on project

  • Look for other method to capture passthrough mode

• • https://github.com/t-34400/QuestMediaProjection?tab=readme-ov-file

  • Followed tutorial and managed to get access to Quest 3 Android camerabuilt successfully but not sure if it's working..?

  • Then tried to use OVRCameraRig but errors appeared.

• Log journal

• Think of alternatives...

2/10/25 -  4 hours

• Project evaluation

• Add AR for real world sensing page and a comparison table of Available Software for Lux Detection (Phone Sensors vs. Meta Quest Light Estimation)

2/03/25 -  5.5 hours

• Bezi lab

• Download DinoVR

• Read Dino VR paper
  Q. Considering that people's conditions like low vision and color blindness could vary so much, I'm curious more of how you got the certainty to establish a guide. For me it feels like the most challenging aspect of universal design is satisfying everyone, making it difficult to find a single stand point. Do you have any specific standards or methods you use for data collection or analysis?

• Review wiki / web to solidify your 3-5 project ideas

1. Tool for detecting lighting conditions and recommending optimized lighting ; Part 1. detecting light information and displaying UI on pass through.

• three things you will do during the project :
  1. Lighting detection to measure real-time lighting conditions in the user’s environment (lux levels) through phone sensor.
  2. Lighting detection to measure real-time lighting conditions in the user’s environment (lux levels) through Meta Quest and Unity. Then compare Accuracy.
  3. AR Visualization of Lighting Conditions (adding UI). Display lighting details in numbers.

• one class activity we might do for the project :
  - Scanning different places with pass through mode and get lighting data in numbers.

• potential deliverables :
  - Tutorial on how to implement light estimation using AR Foundation.
  - Comparison of light detection accuracy(?) between mobile and and headset.

2. Tool for detecting lighting conditions and recommending optimized lighting ; Part 2. Recommend lighting and simulate. 

• three things you will do during the project :
  1. Use optimal lighting guideline to compare real-time lighting information and recommended number.
  2. Simulate recommended lighting on pass through.
  3. Survey on before and after preference. 

• one class activity we might do for the project :
  - Students could experiment with different lighting adjustments (e.g., brighter, dimmer, warmer) and observe how the lighting affects the room's ambiance.

• potential deliverables :
  - Comparative Report on Real-Time Lighting vs. Recommended Lighting
  - Lighting Adjustment Algorithm

• 3. UX Improvements with Haptic Feedback for immersive Interaction ; Combining heart rate data with haptic feedback
  https://www.kaggle.com/datasets/shayanfazeli/heartbeat

three things you will do during the project :
1. Visualize hear rate data in AR environment. (Real time if possible)
2. Design different haptic patterns for different rates.
3. Map haptic patterns to heart rate data and display.

• one class activity we might do for the project :
  - Try different amplitude and frequency

• potential deliverables :
  -  Tutorial of designing haptic feedback
  https://developers.meta.com/horizon/documentation/native/android/mobile-openxr-haptic/

• Brainstorm software evaluation metrics

• Comparison with current tool for designing and simulating lighting in architectural projects. (Dialux)

  • Optimization suggestions

  • Lighting simulation accuracy

  • Real-Time feedback (time)

  • User's pick from before & after ( What if recommended lighting is uncomfortable? Other unexpected concerns?) 

• Continue adding potential software / data to the wiki

  • Add Cinema4D to VR modeling software page - work in progress

2/01/25 -  1 hour

• Explore Google Earth VR & Web

• Submit Google Earth comparison form

Google Earth VR

Google Earth Web

1/29/25 -  5 hours

• Set up meta quest

• Pick 2-5 potential pieces of software to explore and evaluate for your research project

  • Unity

  • ArcGIS CityEngine

  • Blender-Python

  • ParaView

• See previous projects

• Project ideas

  • Elderly people's home activity range - understanding qualitative data for new quantitative data

  • Situated visualization 

    • Urban lighting

    • Sunlight(window placement) simulation

  • UX improvements

    • haptic feedback for a more intuitive interaction

    • Collaborative environment (Be in others' shoes)

• Add Artivive as platform for creatives example in VR in the performing arts page 

• Set learning goals 

1/27/25 -  1 hour

• Look up project ideas

1/26/25 -  2 hours

• Went through wiki

• Look up project ideas

• Read Kenny Gruchalla's bio and add question

• 10 min change - replace link  

• 9 change suggestions on wiki

  • Add VR in entertainment and drop VR in social media under the page. - 10 min

  • Add Artivive as platform for creatives example in VR in the performing arts page - 10 min  ✅

  • What is VR for? - VR in the performing arts - Creating Immersive Performances Using Virtual Reality Technologies - University Of Worcester - page not found. Replace with another link. - 10 min ✅

  • What is VR for? Could be combined with Applications of VR B - 1 hour

  • Add Cinema4D to VR modeling software page - 1 hour  ✅

  • Add XR,AR and VR Conference info page - 1 hour

  • Organized hierarchy of VR Development Software page. -10 hours
    Overview (Move Comparison here)
    Each Software info page

  • Change side navigation bar to dual-tier side navigation bar since when there are lots of pages under, it's hard to navigate. - 10 hours

  • Some pages open in a new tab, and some opens in the current page. Make it coherent & review all links - 10 hours

1/24/25 - 2 hours

• Created journal page

• Went through course timeline

• Set up slack and introduced myself

• Read through project ideas