before after

---- ----

1 | 5 | Goal 0: example goal showing "novice" score before and "expert mentor" after

1 | 4 | Goal 1: articulate VR visualization software tool goals, requirements, and capabilities;

1 | 3 | Goal 2: construct meaningful evaluation strategies for software libraries, frameworks, and applications; strategies include surveys, interviews, comparative use, case studies, and web research;

1 | 3 | Goal 3: execute tool evaluation strategies;

1 | 2 | Goal 4: build visualization software packages;

1 | 4 | Goal 5: comparatively analyze software tools based on evaluation;

1 | 4 | Goal 6: be familiar with a number of VR software tools and hardware;

1 | 5 | Goal 7: think critically about software;

1 | 5 | Goal 8: communicate ideas more clearly;

1 | 3 | Goal 9: demonstrate VR tools to non-users;

PROPOSALS

Project 1 Proposal

Presentation for Project 1 Proposal

Project 1 Update Presentation

Project 1 In-Class Activity

Project 1 In-Class Activity Results

Unity Deliverable

Blender Deliverable

End Presentation for Project 1

Project 2 Proposal

Presentation for Project 2 Proposal

Project 2 Update Presentation

In-class Activity

In-class Activity Results

GitHub Deliverable

End Presentation for Project 2

Poster

Flash Talk

Google Earth VR

Above, left: the house in California I lived in during high school

Above, right: my current off-campus housing in Providence

Below, left: the airport at Indianapolis where I met my girlfriend during Covid

Below, right: my video

ALL OTHER WIKI CONTRIBUTIONS

CONTRIBUTION 1 [Adding links to the prerequisite courses on the main course page would be useful for students who cannot immediately remember if they took a specific class or for students who are considering taking this class in the future and want to complete one of the recommended courses] <Link>

CONTRIBUTION 2 [Added a page going over differences in SteamVR after the release of SteamVR 2.0, and the new technical limitations that this added to developer. Recommended page for developers to read before working with SteamVR in Unity] <Link>

CONTRIBUTION 3 [Created a new page going over two different websites for finding and downloading 3D models, and basic introductions on using the pages] <Link>

CONTRIBUTION 4 [Created a new page going over the different major 3D file types that a student or a developer using this wiki is likely to run into on the internet, listing pros and cons] <Link>

CONTRIBUTION 5 [Created a new page discussing the two major plug-ins for UnityVR that support a VR application: SteamVR and OpenXR] <Link>

CONTRIBUTION 6 [Modified the page somewhat to mark out areas where the tutorial has changed due to the release of SteamVR 2.0 and provide some context for the changes] <Link>

CONTRIBUTION 7 [Added links to the new pages on SteamVR 2.0 and the comparison with OpenXR] <Link>

CONTRIBUTION 8 [Added a new tutorial for working with custom actions in Unity3D using the OpenXR plugin] <Link>

CONTRIBUTION 9 [Added a tip to the Google Woe's page for dealing with slow loading/saving times and possible crashes] <Link>

CONTRIBUTION 10 [Added a comparison page going over some of the different technologies that I compared for building collaboration into WebVR, particularly with A-Frame] <Link>

CONTRIBUTION 11 [Added a tutorial page on setting up collaborative spaces in WebVR using A-Frame and networked-aframe] <Link>

CONTRIBUTION 12 [Updated information on Aframe City builder that might be useful for future students] <Link>

CONTRIBUTION 13 [Tutorial for using Python in Blender] <Link>

1/27/21 - 2 Hours

• Explored the course website, looked at the weekly schedule to get a better idea of the upcoming assignments and workload

• Searched "Project 1" on the website to find past examples

  • Was specifically interested in Project 1: Visualizing Mars Data in OpenSpace

1/29/23 - 6 Hours

• Proposed changes for HW1

  • ~10 minutes changes

    • Under the Collaborative VR Research page, I wasn't sure exactly how the research papers listed were connected to the class. I think that they're just papers from our classes associated lab, but are students involved with them? This could be made clearer.

    • Adding links to the prerequisite courses on the main course page would be useful for students who cannot immediately remember if they took a specific class or for students who are considering taking this class in the future and want to complete one of the recommended courses (COMPLETED)

    • Including some examples of the homework and deliverables, or links to such examples, would be useful for prospective students exploring the course.

  • ~1 hours changes

    • A sample page of recommended changes that past students have made would have been useful for this assignment, as I was a little uncertain on how to approach these changes.

    • A staff page introducing the professor and the TA could be helpful for welcoming new students into the course, since I feel that getting a sense of the staff is an important part of the shopping period.

    • Since some of the technologies, like VTK and VTK.js, are reliant on coding, it could be useful to have a section for relevant coding languages that might be useful for outside observers to explore.

  • ~10 hour changes

    • It could be helpful to have a video alongside the Quest 2 Practice Tutorial for students who have never worked with VR headsets.

    • A section of the home page that includes recent news articles about new uses or innovations involving VR might help interest prospective students in VR as a technology.

    • I think a page where non-student visitors can make suggested contributions and see them pinned to a page could be useful at both allowing for interaction with outside users and getting a sense of what outside users are interested in.

2/1/23 - 4 Hours

• Set up Oculus Quest 2

• Reviewed three previous projects:

  • Project 2: Visualizing  Manhattan Traffic Data in Unity

  • Underwater 3D Cave Exploration Project 

  • Google Earth VR vs Open Street Map 

• Explored three potential pieces of software

  • Lowe's Infinite Kitchen

  • The Music Walk of Fame: David Bowie by Blippar

  • Musletech by Blippar

  • 4sight - 4D Molecule Simulator by C4X

• Potential Project Ideas

  • Using Muscletech as a way to explore personal training systems

  • Explore molecular data using 4sight

  • Use Infinite Kitchen as a way to study how people can collaborate on 3D-space projects

• Copied over course goals

2/2/23 - 4 Hours

• Potential Project Ideas:

  • Using Musletech as a way to explore personal training systems

    • clearly identifies deliverable additions to our VR Software Wiki (5)

    • involves collaboration in VR (3)

    • involves large scientific data visualization along the lines of the "Scientific Data" wiki page and identifies the specific data type and software that it will use (3)

    • has a realistic schedule with explicit and measurable milestones at least each week and mostly every class (2)

    • explicitly evaluates VR software, preferably in comparison to related software (5)

    • includes an in-class activity, which can be formative (early in the project) or evaluative (later in the project) (5)

    • has resources available with sufficient documentation (3)

  • Explore molecular data using 4sight (or building a comparable Unity plugin)

    • clearly identifies deliverable additions to our VR Software Wiki (5)

    • involves collaboration in VR (4)

    • involves large scientific data visualization along the lines of the "Scientific Data" wiki page and identifies the specific data type and software that it will use (5)

    • has a realistic schedule with explicit and measurable milestones at least each week and mostly every class (3)

    • explicitly evaluates VR software, preferably in comparison to related software (4)

    • includes an in-class activity, which can be formative (early in the project) or evaluative (later in the project) (4)

    • has resources available with sufficient documentation (5)

  • Use Infinite Kitchen as a way to study how people can collaborate on 3D-space projects (or build a comparable plugin, maybe creating a museum or biolab to display scientific data, allow researchers to create such display spaces) (planetary exploration)

    • clearly identifies deliverable additions to our VR Software Wiki (4)

    • involves collaboration in VR (5)

    • involves large scientific data visualization along the lines of the "Scientific Data" wiki page and identifies the specific data type and software that it will use (2)

    • has a realistic schedule with explicit and measurable milestones at least each week and mostly every class (3)

    • explicitly evaluates VR software, preferably in comparison to related software (4)

    • includes an in-class activity, which can be formative (early in the project) or evaluative (later in the project) (4)

    • has resources available with sufficient documentation (3)

• Google Earth VR:

  • Didn't get to in class, will finish at home

2/5/23 - 2 Hours

• Google Earth VR:

  • Worked on it, setting up SteamVR

  • Ran into technical problems, the main one being a serious lag issue, I tried restarting the headset and my laptop a few times

  • Ultimately got a headache from the lag, put a question on Slack

2/6/23 - 5 Hours

• Google Earth VR:

  • Finished in the CIT

  • Made relevant edits to journal

• Installed DinoVR

• Project Ideas

  • VRWorkout

    • Alternative to MusleTech, this is open-source and should be easier to work with

    • Three things to do

      • Install VRWorkout and test it out

      • Research scientific studies on exercises and how those apply to different muscle groups

      • Build out a VR human model to represent the results and impact of training using that research (probably with Unity)

    • One in-class activity

      • Test out VRWorkout in class before building (the app is free)

      • Test out my project at the end

    • Potential deliverables

      • The new VR system for exploring muscle growth after a workout

      • Screen captures and recordings from using the system

      • Any relevant and centralized research on different exercises and workout results

  • Tracing the lifecycle of a star

    • Three things to do

      • Research the lifecycle of stars, the different layers they have, and the effect this has on solar systems

      • Build out a model of star and a possibly a surrounding solar system in a system that can be ported into VR, probably Unity

      • Let this system be altered in its passage through time to see the star grow or shrink, consuming the solar system around it

    • One in-class activity

      • Try out my solar system/sun model once it is completed

    • Potential deliverables

      • The solar system/sun model, including the changes at different points in the life cycle and the different layers of the star

      • Relevant screen captures and recordings

  • Depicting weather changes in one location due to climate change

    • Three things to do

      • Research predicted climate change patterns (probably building off of research like this)

      • Recreate (based on how much time it takes) either one location or several (maybe just Providence) with weather and scenery today

      • Offer a competing simulation of that same location after predicted climate change (make use of open-source software for weather and geography, such as for rain, being underwater, and different possible landscapes or levels of greenery)

    • One in-class activity

      • Discuss climate change and how VR can be used to make this problem more visible and apparent to users

      • Explore the contrast between the present world and the projected future world

    • Potential deliverables

      • Any relevant research on climate environments that can be written out

      • Possibly demonstrated to non-students and then interview students afterwards to see how/whether this has changed how they think about climate change

      • The VR model itself

  • Exploring explosions in VR

    • Three things to do

      • Explore a possible source of fluid dynamics simulation in VR, preferably open source (such as this) to portray physics

      • Research how explosions of different types affect their environments and how this can be simulated with particle motion to represent fluids of different densitites (such as air or water)

      • Build a simulation out in VR (probably in Unity) that allows for explosions of different types to be experimented with to see how they affect their fluid environments

    • One in-class activity

      • Explore this simulation once I've built it out

    • Potential deliverables

      • Any screenshots or recordings

      • The explosion simulator itself

      • The environment for particles that can be moved by dynamic forces should also be usable by future students

• Software Evaluation Metrics

  • Speed

  • Code readability

  • User accessibility

2/7/23 - 1 Hour

• Worked on project outline

2/8/23 - 2 Hours

• Finished DinoVR

• Finished project outline for class

  • VRWorkout

    • Three things to do

      • Install VRWorkout and test it out

      • Research scientific studies on exercises and how those apply to different muscle groups

      • Build out a VR human model to represent the results and impact of training using that research (probably with Unity)

    • One in-class activity

      • Test out VRWorkout in class before building (the app is free)

      • Test out my project at the end

    • Potential deliverables

      • The new VR system for exploring muscle growth after a workout

      • Screen captures and recordings from using the system

      • Any relevant and centralized research on different exercises and workout results

  • 2/14

    • Install VRWorkout, test it out on my own

    • Pull the codebase

  • 2/16

    • Figure out exporting workout data from VRWorkout

  • 2/23

    • Build a human model in Unity that is connected to controllers, and a mirrored VR room

  • 2/28

    • Modify the model so that muscle groups can be represented on it

  • 3/02

    • Put data together linking different exercises to an emphasized section of the VR human model

  • 3/07

    • Build a pipeline from exported VRWorkout data to a VR representation of the results in the VR human model

  • 3/09

    • Present the final result in class (might move this around if the ending is too crowded)

2/12/23 - 4 Hours

• Wrote my project 1 presentation

  • Tried to respond to all low scores in teacher/TA feedback

• Got started on the VR Wiki's Unity tutorial

• Researched human body meshes that would be compatible with Unity, found a possible candidate

2/15/23 - 2 Hours

• Successfully installed VRWorkout

  • Tested using Quest 2

• Set up online account, figured out how to export workout data in a readable format from the online site

2/17/23 - 4 Hours

• Pulled the sample human models

  • Ran into an issue with not being able to easily divide them into muscle groups in Unity

  • Ended up installing Blender and re-introducing myself to the software

• Opened the .obj models in Blender, highlighted and separated out specific groups for the different body parts

2/18/23 - 4 Hours

• Finished breaking up the human body model, output the result as a .fbx file

• Pulled the new file into Unity, with clearer subdivisions

• Finished the Unity tutorial on my machine, began altering the code to apply to my human body model

• Got started on outlining a possible wiki contribution going over different file types that might be commonly used in both Blender and Unity (probably, .obj, .fbx, and .stl)

2/19/23 - 6 Hours

• Tried to use UnityVR with SteamVR, per the wiki recommended setup

  • Ran into problems with changes to UnityVR2.0 and SteamVR making it difficult to implement the wiki setup

  • Need to have the headset connected to SteamVR, which comes with hardware requirements

  • Tried with both my Mac and my PC, both did not have the required GPU capacity

• Potential ideas for wiki modificaiton on changes from UnityVR to UnityVR2.0

2/20/23 - 1 Hours

• Did HW, prepared for class

• Continued trying to make Paperspace work

2/22/23 - 1 Hours

• Did HW, prepared for class

• Looked through the wiki again for information on Unity

2/25/23 - 6 Hours

• Tried again to figure out how to use UnityVR2.0 and SteamVR

  • Tried to use modelled headset/controllers instead of real

  • Tried to connect the headset to the local machine using wireless link

  • Bought a new USB-to-USB-C cable to create a physical link between machine and headset

• Tried to set up work over Paperspace

  • Ended up unable to figure out how to make this work efficiently

  • Would have had to install UnityHub on Paperspace, transfer existing work from local machine to virtual machine, keep Virtual Desktop connection open, and ultimately unable to create necessary SteamVR link between headset and Paperspace machine

• Ended up reaching out to Jakobi and Lexi for help

• Decided to give up on the SteamVR approach and focus on OpenXR

2/26/23 - 2 Hours

• Finished Thursday assignment

• Researched documentation on working with OpenXR in Unity

  • Possible wiki contribution

2/27/23 - 1 Hour

• Prepared for class and in-class assignment

3/1/23 - 1 Hour

• Prepared for class and in-class assignment

3/4/23 - 5 Hours

• Worked on implementing a working scene in UnityVR with the human body, the hands with ray interactions, and separate body parts

• Several points that made this take a while (hence the long hours logged over the weekend and Monday):

  • Unable to test changes in code in Unity due to being unable to link Quest to machine

  • Had to make changes in the code without being able to see the immediate results

  • Unable to debug without a soft reload in Unity

  • Had to build a .apk package, move to SideQuest, and move to the Quest every time I wanted to test the scene

3/5/23 - 9 Hours

• Focused on getting the right interactions between the controllers, ray extensions, and body model parts

  • Lack of existing Unity/OpenXR abstract support for non-grabbable interactions with objects

  • Lots of time spent debugging

  • Ended up constructing a new set of actions and Unity/OpenXR components in C#, attaching them to the controller objects in Unity

  • Ultimately able to create a hovering action, with objects responding as the controller points at them

3/6/23 - 11 Hours

• Continuous from the last entry (long night)

• Focused primarily on getting trigger actions to work properly

  • Tried to use Unity's built-in trigger functions, OpenXR's built-in trigger functions, unable to get either to work with my code for ray interactions

  • Had to turn off existing trigger functions and override trigger functions in the code, creating a new response for triggers

  • Unable to log responses to console to debug when trigger functions and ray interactions did not work, ended up learning how to use text objects in Unity, then just putting a text object in the middle of the scene to post debug comments towards to get printed statements on variable values to debug with

  • Finally got the scene to respond to both ray hovering and clicking satisfactorily

  • Removed the text objects

  • Ate breakfast, went to sleep

• Worked on the in-class activity

  • Got feedback from Jakobi, made edits

• Prepared for the next in-class activities

3/8/23 - 2 hours

• Made some last-minute changes to the in-class activity based on Jakobi's feedback

• Created and linked the in-class activity page

• Prepared for other in-class activities

3/9/2023 - 1 hour

• Collected some data from the in-class activity, summarized below:

  • For comparisons between 2D and 3D

    • Somewhat difficult to directly compare 2D and 3D visualization at this stage

    • However:

      • Broad agreement among students that it was easier to visualize active muscle sites using the 3D visualization

      • Broad agreement that the model benefited from direct, tangible feedback

  • Users suggested several improvement:

    • Automated muscle coloring and direct connection with numerical data (most popular)

    • 2D chart alongside 3D model

    • More detail and more muscle groups

3/11/2023 - 3 hours

• Worked on creating pages for finding and understanding 3D file types online

  • Two pages as main outputs:

    • Websites for 3D Models 

    • 3D Model File Types 

3/12/2023 - 2 hours

• Did a deeper dive into differences between SteamVR and SteamVR 2.0

• Found existing resources on the Wiki related to this change 

• Got started on wiki pages related to explaining the technical requirements of SteamVR 2.0 and the difference between SteamVR and OpenXR as Unity plugins

3/13/2023 - 2 hours

• Finished the following wiki pages on SteamVR and OpenXR

  • SteamVR 2.0 

  • SteamVR and OpenXR 

  • Unity3D (minor edits)

  • Unity Tutorial #4.1 (minor edits)

• Prepared for Tuesday's in-class activities

3/14/2023 - 5 hours

• Wrote a tutorial for creating custom functions in Unity using the OpenXR plugin, with a broader focus on introducing the user to OpenXR, installing the plugin and related plugins into a Unity project, and covering some of the basic concepts of OpenXR

  • Unity Tutorial #7: Custom Actions in OpenXR 

• Made my presentation

• Unity deliverable as ZIP file

• Blender deliverable

3/16/2023 - 0.5 hours

• Added a small contribution to Google Sites Woes to work more safely with slow loading/saving

3/20/2023 - 5 hours

• Read the Seven Scenarios paper

• Started working on an idea for the second/final project

  • Researching famous historical examples of data visualization

    • Found John Snow's 1854 chart of cholera outbreaks in London

      • Create two possible 3D VR visualizations:

        • A 3D color map that can be viewed in VR, with heights, to help users see the relevant infection data

        • A 3D map of the area to travel through and see how diseases would have looked

          • Possibly relevant city builder tool

          • Could even be used to show how 3D, ground-level situations are harder to understand

    • Researched frameworks for WebVR

      • Already some wiki pages on WebVR, hoping to expand with some more frameworks

    • Done some research on multiplayer and collaboration

      • My source uses deepstream.io, there is currently a tutorial for collaboration in WebVR using socket.io

      • Possibly developing a comparison between the technologies

  • Applying Seven Scenarios

    • Scenarios for understanding data analysis

      • Understanding environments and work practices (UWP)

        • Description: To derive design advice through developing a better understanding of the work, analysis, or information processing practices by a given group of people with or without software use.

      • Evaluating visual data analysis and reasoning (VDAR)

        • Description: To assess how an information visualization tool supports analysis and reasoning about data and helps to derive relevant knowledge in a given domain.

      • Evaluating communication through visualization (CTV)

        • Description: To assess the communicative value of a visualization or visual representation in regards to goals such as teaching/learning, idea presentation, or casual use.

      • Evaluating collaborative data analysis (CDA)

        • Description: To understand to what extent an information visualization tool supports collaborative data analysis by groups of people.

    • Scenarios for understanding visualizations

      • Evaluating user performance (UP)

        • Description: To objectively measure how specific features affect the performance of people with a system.

      • Evaluating user experience (UE)

        • Description: To elicit subjective feedback and opinions on a visualization tool.

      • Evaluating visualization algorithms (VA)

        • Description: To capture and measure characteristics of a visualization algorithm.

    • Relevant suggestions and ideas

      • From UWP:

        • What kinds of visualizations are currently in use? How do they help to solve current tasks?

          • There are existing 2D visualizations that help people determine the origin points of diseases and epidemics

      • From VDAR:

        • Decision making? How does it support the communication and application of analysis results?

          • These tools might make it easier to convey either information about the spread of diseases or it might make it easier to understand how certain situations can be difficult to understand on a ground level

      • From CTV:

        • Do people learn better and/or faster using the visualization tool?

          • Could show if learning is faster or slower

        • Can useful information be extracted from a casual information visualization?

          • Could be useful to get survey info on this

      • From CDA

        • Does the tool support effective and efficient collaborative data analysis?

          • With multiplayer, hopefully

        • How is the collaborative visualization system used?

          • Ideally, people can just enter multiplayer at the same time

      • From UP

        • How does one visualization or interaction technique compare to another as measured by human performance?

          • We'll find out by comparing the results

      • From UE

        • Are there limitations of the current system which would hinder its adoption?

          • I am hoping that the use of WebVR will make it more accessible than it would be otherwise

      • From VA

        • Not relevant, as far as I can tell, since this isn't evaluating an algorithm

3/22/2023 - 4 hours

• Project 2 Proposal

• Project 2 Presentation

• Evaluation

  • Using VR to revisualize cholera deaths in 1854

    • clearly identifies deliverable additions to our VR Software Wiki (5)

    • involves collaboration in VR (5)

    • involves large scientific data visualization along the lines of the "Scientific Data" wiki page and identifies the specific data type and software that it will use (3)

    • has a realistic schedule with explicit and measurable milestones at least each week and mostly every class (3)

    • explicitly evaluates VR software, preferably in comparison to related software (5)

    • includes an in-class activity, which can be formative (early in the project) or evaluative (later in the project) (5)

    • has resources available with sufficient documentation (4)

4/3/2023 - 2 hours

• Read up on Seven Scenarios, thought up 3 questions

• Worked on project

  • Focused on getting scientific epidemic data to show up clearly on the John Snow map as an overlay

  • Used Jupyter Notebook

  • Went through several possible data sources:

    • learn.arcgis.com/en/projects/map-a-historic-cholera-outbreak/  (data unclear)

    • www.nationalgeographic.org/activity/mapping-london-epidemic/ (data too difficult to parse)

    • www.randomservices.org/random/data/Snow.html (data too difficult to map)

    • http://www.ncgia.ucsb.edu/pubs/snow/snow.html (data too old, links broken)

  • Finally settled on:

    • geodacenter.github.io/data-and-lab/snow/ 

4/7/2023 - 5 hours

• Focused on building the heat map using the data from Monday in Blender with Python

• Learned about using Python in Blender

  • Laid out outline for Wiki contribution on how to use Python in Blender, hopefully make this in the future

• Applied to John Snow cholera epidemic data

• Created output .glb file of the heat map using John Snow data

• Got started with A-Frame/Glitch, placed the heat map model in A-Frame hosted on Glitch

  • Live website

  • Code

4/10/2023 - 5 hours

• Worked on trying to get Deepstream.io to work to enable multiplayer in A-Frame

  • Used tutorial from before

  • Ran into difficulties

  • Hosted on deepstreamhub.com/ 

  • Tried to set up an account

  • Unable to acces dashboard

  • Looked for support online, unable to find

  • Ended up emailing their customer support, waiting for a response 

    • EDIT (4/28): Never got a response

• Prep for Lexi's activity

4/11/2023 - 1 hour

• Worked on Project 2 Update presentation

4/12/2023 - 6 hours

• Made a last-ditch effort to get Deepstream.io to work

  • Ultimately abandoned due to impossibility of using their servers

• Looked into Jakobi's tutorial on collaboration in WebVR

  • Experimented with Socket.io

  • Researched using my laptop as an Internet server

    • Found some instructions

    • Found lots of advice against

• Found some other tutorials (here and here)

  • All used Deepstream

    • Seems the website went down recently, as several Glitch projects used Deepstream but were no longer running

• Finally found a non-Deepstream, non-hosting possibility in networked-aframe

• Finalized and sent Project 2 presentation

4/16/2023 - 4 hours

• Got started with networked-aframe on Glitch

  • Very happy with the results, seems to successfully host a server on Glitch itself

  • Initially tested with just laptop browser tabs, due to working off-campus without headset

  • Remixed from sample Glitch library

  • Explored the code, focusing on JavaScript code running the server and and A-Frame code for objects, particularly user objects.

4/17/2023 - 2 hours

• Continued working with networked-aframe on Glitch

  • Continued remixing networked-aframe project on Glitch

  • Focused on integrating previous work with heat map into networked-aframe project

  • Experimented with different bodies and movements for the user body, still using keyboard controls

• Prep for Camilo's activity

4/18/2023 - 4 hours

• Continued working with networked-aframe on Glitch

  • Started testing with headset controls

  • Found that keyboard controls for A-Frame are completely incompatible with headset controls

  • Spent time rewriting object code to enable movement in headset without Glitch crashing or freezing

  • Jakobi helped me test the Glitch site so that I could make sure that the system worked on different machines

• Redid the heat maps

  • Went back to Blender/Python and redid to include a heat map with no rising markers, a heat map with only rising markers for deaths per location, a heat map with only rising markers for contagion locations (wells), and the original heat map

  • Integrated with Glitch app

• Prep for Dave's activity

4/24/2023 - 2 hours

• Prep for Yifei's activity

  • Tutorials for Horizon Apps

• Prep for Melvin's activity

  • Setup of Immersed

4/26/2023 - 0.5 hours

• Prep for Mohammed's activity

• Prep for Liza's activity

• Prep for Yuanbo's activity

4/28/2023 - 1 hour

• Worked on a page for comparing WebVR collaborative technologies

4/29/2023 - 3 hours

• Started a page as a tutorial for working with networked-aframe

  • Mainly focused on recreating the project through Glitch

  • Looked through feedback on the in-class activity and saw that users had been hoping for interactive and visible avatars

  • Tried to implement that, ran into road blocks due to issues with getting the "position" of the headset

  • Unable to find code solution to the problem

5/3/2023 - 3 hours

• Created a tutorial for working with Python in Blender

• Created and sent my final project presentation