PROPOSALS

Project 1 Proposal  - Link to subpage

Presentation for Project 1 Proposal - Link to PowerPoint

Project 1 update slides -  Link to PowerPoint 

End Presentation for Project 1 - Link to PowerPoint

Project 1 In-class Activity - takeaways are recorded on this subpage and the in-class activity instructions are located here

Project 2 Proposal - Link to subpage

Project 2 Proposal Presentation - Linked here

Project 2 Update Slides - Link to PowerPoint

End presentation / poster for Project 2 - Link to poster

Link to flash talk presentation - Link to PowerPoint

Project 2 In-class Activity - I used this subpage: Link to instructions/overview subpage; findings are recorded on this subpage and takeaways are recorded on this subpage

Final Poster - Link to final poster

ALL OTHER WIKI CONTRIBUTIONS

CONTRIBUTION 1: On the course homepage, there is not a clear and immediate understanding of what the wiki is and what the class does. I think splitting the introductory paragraph into two "What is the wiki?" and "What is this class?" sections will help readers quickly identify and understand the most important information. Course Homepage

CONTRIBUTION 2: Under the Virtualitics page, I added screenshots to the Desktop and Quest Setup subpages. 

CONTRIBUTION 3: Under the Virtualitics page, I created a subpage for using VR for Virtualitics via Virtual Desktop and SteamVR.

CONTRIBUTION 4: Under the Virtualitics page, I created a subpage for Virtualitics Research: Women in the Olympics to document takeaways from my research. 

CONTRIBUTION 5: Under the Virtualitics Research: Women in the Olympics page, I created a subpage for Women in the Olympics Research Questions Visualizations to add Oculus Quest 2 screenshots for each research question detailed in Virtualitics Research: Women in the Olympics

CONTRIBUTION 6: Under VR Modeling Software,  I created a subpage to detail my GrabCAD experience because GrabCAD is a highly popular engineering source for models, and I wanted to share what I found helpful and ultimately not helping when using it for VR research. 

CONTRIBUTION 7: Under VR Visualization Software, I created a subpage on Steam Apps for Data Visualization to document VR data visualization apps that have more inclusive accessibility because they are readily available on Steam. I wanted to start a page where wiki users could add additional and new apps.

CONTRIBUTION 8: Under VR Visualization Software, I created a subpage for Immersion Analytics. It provides an overview of the software and links to the installation and setup page for more details.

CONTRIBUTION 9: Under the Immersion Analytics page, I created a subpage for Immersion Analytics Installation and Setup. It provides a step-by-step instructions and photos to walk wiki users through the process.

CONTRIBUTION 10: Under the Immersion Analytics page, I created a subpage for Immersion Analytics Research on Women in the Olympics. It provides an overview of the research topic, instructions on how to view and actively engage with the research (it was the wiki page for my in-class activity),  a video showcase of the research, and links takeaways from the research and in-class activity. 

CONTRIBUTION 11: Under the Immersion Analytics Research on Women in the Olympics page, I created a subpage for Women in the Olympics: Medal Dispersion that documented my research findings through classmates' takeaways and visualization screenshots of how medal dispersion differed across sports, NOCs, and identified by year. 

CONTRIBUTION 12: Under the Immersion Analytics page, I created a subpage for Takeaways on Immersion Analytics Research that notes general performance takeaways, thoughts for future research, a Collaborative Data Analysis (CDA from the Seven Scenarios Paper) on Immersion Analytics using class input, and a summary of plus suggestions for Immersion Analytic's collaboration features.

CONTRIBUTION 13: On the Comparison - DataViz VR, Immersion Analytics and Virtualitics wiki page, I added an update reflecting my experience with both Virutalitics and Immersion Analytics. I included comparison points and updates on features for collaboration and data representation such as licensing access, virtual room creation, and ease of using a bar chart versus scatterplot.

Peer Review of Journal (by Lucia Tian)

Journal activities are explicitly and clearly related to course deliverables

4 - the content is appropriate and helpful to the wiki's development; perhaps making the activity descriptions more concise may make it more clear and easy to read

deliverables are described and attributed in wiki

5 - changes to the wiki are hyperlinked and described clearly

report states total amount of time

5 - yes time is accurate as of timestamp last update

total time is appropriate

4 - time logged seems appropriate and comfortable but not exceeding expectations 

Peer Review of Journal (by Aakansha Mathur)

• Journal activities are explicitly and clearly related to course deliverables

  • 5 - Yes, activities are brief and explicit. The activities are related to the course deliverables

• Deliverables are described and attributed in wiki

  • 4 -  Deliverables are described in the wiki. The student has also described some potential in-person activities.

• report states total amount of time

  • 5 - Yes

• total time is appropriate

  • 5 - Yes

• Key for each criterion:

  • 5 == exceeds expectations

  • 4 == meets expectations

  • 3 == mostly solid with some gaps

  • 2 == shows some progress

  • 1 == some attempt

  • 0 == not found

HOURS journal

1/27/22 - 30 minutes

• created journal page

• set up slack and introduced myself

• started reading course website

1/28/22 - 2.5 hours

• read course homepage

• Thought about potential changes to the wiki

  • 10 minute changes

    1. On the course homepage, there is not a clear and immediate understanding of what the wiki is and what the class does. I think splitting the introductory paragraph into two "What is the wiki?" and "What is this class?" sections will help readers quickly identify and understand the most important information.

       • I completed this change

    2. In the "Ideas for Course Activities" page, it mentions to go to the Course Archives. The Course Archives is not a main tab, so providing a hyperlink would be helpful.

    3. The Project Ideas page has a lot of information, and it can be hard to digest. I would recommend using bold and underlining key words. To bulk up this potential change, I would add contact information for people who pursued these project ideas in the past. 

  • 1 hour changes

    1. For the scientific data page, there is no way to tell which is the best or most helpful. I think we should add a poll and live survey results section at the bottom that reveals which people recommend. We could also add a reviews section to this where people make notes about what they thought of the dataset and the best approaches to apply the data.

    2.  

    3. 
       

  • 10 hour changes

    1. The Project Ideas page feels daunting, overwhelming, and slightly inaccessible if you don't have a strong scientific research background. I would recommend adding project videos to showcase the themes through a more audio/visual approach. 

    2. On the "Collaborative VR Resources" page, it would be helpful to see how to apply the research papers to a project. I recommend adding hyperlinks to past or current projects that incorporate or are inspired by the articles. This change would require time to characterize projects by the research papers and identify whether the research paper application is clear.

    3. 
       

• listened to 30 minutes of Let's Talk Oculus podcast, specifically listened to learn about VR games and sport applications in the episodes "Ranking the Walkabout Mini Golf Courses & Looking Ahead to 2022 - LTO 29" and "Our VR Games of the Year - LTO 28"

1/29/22 - 1 hour

• Brainstormed potential changes to the wiki

  • 1 hour changes

    1. already detailed above

    2. Under the Student Research Page and the subpage of VR@Brown 2021, there is a list of "Project and Class Ideas pitched by respondents." For someone looking to select a topic, this list was super helpful, but I wasn't sure what projects had already been explored. It would be really helpful to have sub notes about which have been done at Brown, which have been pursued at other institutions, and which do not have many (if any) developments.

    3. While there are references to how VR is applicable is many fields, there aren't any references to Brown professors doing research in various fields. I think a section with hyperlinks to various professors or labs looking at VR would be very helpful in identifying places for expert advice and additional research support. 

  • 10 hour changes

    1. already detailed above

    2. already detailed above

    3. Under the "Applications of VR" tab, we could add another tab for Government VR uses. Agencies, such as Veteran Affairs, have been supporting and funding the use of VR. I think we should look into specific applications and document them in a similar format to the "VR in Medicine" Page.

2/1/22 - 1 hour

• pieces of software

  1. AmirA/AVISO

  2. Unity

  3. Virtualitics

  4. D6 VR

  5. ParaView

2/2/22 - 2 hour

• project ideas

  • use 3D imaging the zoom in and explore CLARITY and brain imagining data for the Human Connectome Project

  • identify data relationships and prediction results for injury prevention data from ROTC patients

  • breakdown and visually present barriers to women in sports data

  • identify data relationships and prediction results for Olympic data over 120 years

    • female participation; issues with research that VR would help with "As can be seen, it is effective in the way that it shows the dramatic changes in female participation by showing four Olympics in each of the charts. However, its drawback is obvious: the number of Olympic Games that are able to be displayed is extremely limited. It is impossible to show the information of all the Olympics in the past 120 years using this method." (https://olymvis.hongtaoh.com/paper/)

• set up oculus 

2/3/22 - 1 hour 15 minutes

• bought virtual box and created account on Paperspace

• listened to 45 minutes of Everything VR & AR podcast. I listened to the episode "Looking forward to 2022 with Tyler Gates and Sophia Moshasha", which discussed how the Metaverse is positively growing, being popularized, and enveloping VR into the larger area of immersive technology.  There was this awesome line about how the stark difference in the Matrix movie between reality and virtual reality no longer has to be the case.

• project idea

  • overlay food and nutrition data onto kitchen scenes to offer food scientists an applicable way to combine food into healthy and nutritious rich approaches

• Google Earth VR screenshots (see below)

2/4/22 - 30 minutes

• finished setting up Paperspace and Steam and SteamVR after getting a virtual desktop from Ross

2/5/22 - 1 hour

• for project idea of presenting barriers to women in sports

  • three things I will do during the project

    • gather all of the statistics into a giant list

    • visually categorize the data in software

    • create a visual art gallery (picture book) of the different information that gives people space to discuss and annotate the findings with others who are also looking at the data

  • one class activity for the project

    • find and highlight the most concerning statistic

  • potential deliverables

    • add an example application to VR Art Gallery Zone (VRZone) page

    • make sure reviews of Virtualitics are appropriate and reflect my experience

• for project idea of Olympic data from past 120 years

  • three things I will do during the project

    • identify main questions to generate analysis on

    • use Virtualitics to compute statistics and takeaway analysis for main questions  

    • create a visual art gallery for all Olympic years data to present the massive amount of data 

  • one class activity for the project

    • split into groups and have each group explore a different hallway of the virtual museum 

  • potential deliverables

    • add an example application to VR Art Gallery Zone (VRZone) page

    • make sure reviews of Virtualitics are appropriate and reflect my experience

• software evaluation metrics

  • range of CS background needed to perform create satisfactory work product (0 - have never taken a CS class before, 5 - has completed a full CS intro series, 8 - has a CS degree, 10 - is a professional programmer)

2/7/22 - 2 hours 30 minutes

• for project idea of using US Department of Agriculture food data when selecting combinations of foods for new FDA research 

  • three things we will do during the project

    • gain access and download/upload data to ThingLink software

    • make a refrigerator of foods or make a 3D grocery store and add hotspots to item

    • link nutrition data and current research information to each hotspot, so researchers can see which areas of the store are most highly researched and which combinations of foods would be the best to focus upcoming research on

  • one class activity for the project

    • explore the supermarket and at the end, discuss the engagement metrics ThingLink gathered to see which products caught ppl's eye the most

  • potential deliverables

    • identify a new VR software to visually present a combination of images and written information (more information heavy than VRZone)

• software evaluation metrics

  • how easy is it for people to find the data (0-10 scale)

  • how easy is it for people to read or compute analysis of the data

  • can people communicate within the software or outside as a follow-up to the software 

• worked on installing dinoVR

• additional potential software/data

  • software: ThingLink (https://www.thinglink.com/)

  • data: FoodData Central (https://fdc.nal.usda.gov/)

2/8/2022 -  1 hour

• finished DinoVR activity

2/9/2022 - 3 hours

• narrowed down project ideas; researched the Olympic data idea to ensure that it would be a successful project

• created project 1 initial plan  

• read https://olymvis.hongtaoh.com/paper/ and made notes on how to build upon and differ in an improved way

2/12/2022 - 1.5 hours

• finalized project 1 proposal

• Project Evaluation

  • The proposed project clearly identifies deliverable additions to our VR Software Wiki

    • 5 - strongly agree; adds to Virtualitics page with the new application example and updates any existing commentary on Virtualitics

  • The proposed project involves collaboration in VR

    • 5 - strongly agree; the class activity and resulting special exhibit is heavily focused on collaboration and discussion around the dataset

  • The proposed project 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 - strongly agree; 120 years of Olympic data; Virtualitics

  • The proposed project has a realistic schedule with explicit and measurable milestones at least each week and mostly every class

    • 5 - strongly agree

  • The proposed project includes an in-class activity

    • 5 - strongly agree (actually needed to update my schedule and insert in-class activity in it)

  • The proposed project has resources available with sufficient documentation

    • 5 - strongly agree; many Virtualitics videos

• came up with questions for Kristi Potter

2/13/2022 - 2.5 hours

• created project presentation

• requested Virtualitics software

• watched Virtualitics instructional videos

  • https://www.youtube.com/watch?v=SnkUbUJd_kU

  • https://www.youtube.com/watch?v=jnnfaRMcCWA

    • good idea to put country into color

    • we can also look at growth rate on a map!

    • put date on Mapping -> Refine -> Playback symbol

2/15/2022 - 1 hour

• looked into other visualization softwares

• reached out to D6 VR to get a demo

• Journal Self-Evaluation

  • Journal activities are explicitly and clearly related to course deliverables

    • 4 - I completed all of the required journal items and when I respond to criteria, I make sure to copy the items, so that I respond to each one. I didn't say 5 because I have not actively added many components to the other pages in the wiki (I completed the required 10 minute fix, but I haven't pursued the other items I noted).

  • deliverables are described and attributed in wiki

    • 5 - deliverables are tracked in an organized manner with an outline format so that the deliverables are easily identified but sufficient details and links are provided. If details are helpful but lengthy (such as the initial project plan), then I link to a subpage.

  • report states total amount of time

    • 5 - report states total amount of time each day and (on the top of the page) the total accumulated time

  • total time is appropriate

    • 5 - there is 4-5 hours logged for each class due date interval

2/16/22 - 3 hours

• fixed the format of my journal by creating a subpage for my finalized project 1 proposal presentation

• added in its designated place at the top of this page my links to my project 1 proposal and its presentation 

• followed up with D6 VR to get a status update

• reached out to Immersion Analytics for access 

• modified project plan to complete the in-class activity earlier in the semester 

• updated the motivation section and the deliverables in my finalized project plan

• reached out to Virtualitics again through phone and email to get access (finally heard back from them)

2/18/22 - 4 hours

• downloaded and set up Virtualitics

• researched and explored Virtualitics for how to use dataset in the various plot options 

• explored how various data columns appeared with Color By, Group By, filters

• tried to get the 3D Map to work

• tried to find and watch youtube videos on Virtualitics applications / walkthroughs

• tried to think about rearranging / satisfying project goals given the software

• started making graphs on Virtualitics on my computer

2/19/22 - 2 hours

• continued making graphs on Virtualitics

• started to document my Virtualitics experience on page in the wiki

2/20/22 - 3 hours

• realized that overheating issues and potential future testing for the class activity might be better if I save the project progress on Virtualitics app housed in department computer via Paperspace --> downloaded and set up Virtualitics on remote machine

• recreated and saved previous graphs on remote machine

2/21/22 - 2 hours

• brainstormed for how to and began to create graphs to analyze each country individually

2/22/22  - 1 hour

• created individual country graphs

2/23/22 - 2 hours

• drafted this Project 1 Analysis subpage

  • finalized research questions

  • outlined class activity

  • made notes about my Virtualitics experience 

• organized graphs into folders according to graph topics/questions

2/26/22  - 2 1/2 hours

• re-did Google VR class activity and posted photos in my journal under 2/3/22

• explored how to add multiple viewers of the project files from my Virtualitics account

• actually created subpage for Project 1 Analysis

• created progress update powerpoint

2/28/22 - 30 minutes

• updated timeline to reflect hw for my class activity 

• completed download and setup steps for Beatrice's class activity

3/1/22 - 4 hours

• ran through entire in-class activity

  • re-created graphs that I needed and didn't have exactly correct

  • created more user-friendly folder structure and added folder to Google Drive 

  • documented download instruction on this subpage

  • conducted research and worked through multiple attempts at downloading the VR app and using it with the correct sequence of steps to allow Virtual desktop, the Oculus app, the Virtualitics desktop app, and the Google Drive folder of Virtualitics projects to work

    • was eventually successful

3/2/22 - 2 hours

• worked through several trial runs of using the Oculus with Virtualitics

• realized that multiple users cannot be on the desktop application at once, so had to figure out an alternative class activity plan centered using only my computer

3/3/22 - 2 hours

• finalized and wrote up structure for in-class activity 

• documented the best approach for a collaborative activity in Virtualitics when struggling with a lack of licenses as well as the best practices for using the glitchy Oculus app

• went through class activity practice run

3/5/22 - 1 hour

• reflected on class activity and why it felt disorganized (wifi wasn't working and Paperspace machine was malfunctioning, so I wasn't able to get through the entire study)

• organized notes from class activity

• planned a modified version of my original class activity to continue gathering data from classmates after class (I reached out to classmates to gather interest)

3/7/22 - 1 hour

• prepped for Lucia's class activity

• practiced how I was going to run my modified class activity for Jakobi and Mandy

3/8/22 - 30 minutes

• ran modified class activity for Jakobi

3/10/22 - 5 hours

• prepped for Tongyu and Mandy's in-class activity 

  • faced many issues with creating the developer account

• ran modified class activity for Mandy

• compiled notes from my modified class activity on my Project 1 Analysis page 

3/11/22 - 4 hours

• updated Virtualitics Desktop and Quest setup subpages 

  • added screenshots (had to edit my screenshots to block out any personal information since the wiki is public -- this editing took time)

• created a subpage under the Virtualitics page for Virtual Desktop and SteamVR setup

• added wiki contributions to my journal

• planned how I could transfer information from my journal subpages into wiki locations that are more permanent and prominently integrated in the organizational structure 

3/12/22 - 4 hours

• added subpage under the Virtualitics page to document my Women in the Olympics research in a more easily found wiki location

• edited and organized my research and class activity findings into a presentable format on the above Women in the Olympics research subpage

• added and organized Oculus Quest 2 screenshots for each research question in the Women in the Olympics Research Questions Visualization subpage I created

3/14/22 - 1 hour

• in-class activity setup

3/15/22 - 1.5 hours

• worked on final presentation powerpoint for Project 1

3/16/22 - 3.5 hours

• finished final presentation for Project 1

  • brainstormed and researched VR software and data for project 2

    • TechViz, Virtalis, GrabCAD 

    • new Virtualitics AI platform

    • AI datasets

      • SOCR data — Heights and Weights Dataset:

      • Credit Card Fraud Detection Dataset

      • both have links that can be found at https://pub.towardsai.net/best-datasets-for-machine-learning-data-science-computer-vision-nlp-ai-c9541058cf4f

• talked to student in the engineering department to learn more about CAD models

3/17/22 - 1 hour

• read Seven Scenarios paper

3/20/22 - 2 hours

• re-read and annotated the Seven Scenarios paper

• created page in the wiki to record the main takeaways from the Seven Scenarios paper

3/21/22 - 2 hours

• finished editing the wiki page for main takeaways from the Seven Scenarios paper

• created and completed subpage for my Project 2 Plan

3/22/22 - 2 hours

• Evaluation of my Project 2 Plan

  • • The proposed project clearly identifies deliverable additions to our VR Software Wiki

      • 5 - explicitly mentions the creation of subpages in the wiki

    • The proposed project involves collaboration in VR

      • 4 - both visualization softwares I am considering for my project mention collaboration on their websites, but I know that the reality of successfully running a collaborative activity can be more complicated and error-prone than the software companies promote.

    • The proposed project 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 - identifies two potential softwares to use depending on which replies back to my access request and identifies a large database of CAD models (GrabCAD) that are the scientific data 

    • The proposed project has a realistic schedule with explicit and measurable milestones at least each week and mostly every class

      • 5 - every milestone date has been completed with the intended milestone

    • The proposed project includes an in-class activity

      • 5 - detailed my class activity on the project plan and noted when I was going to complete it in the milestone section

    • The proposed project has resources available with sufficient documentation

      • 5 - TechViz XL has a blog and an extensive section on their website documenting their features; Virtalis has a section on their website devoted to resources (including blogs, webinars, case studies, videos, and support)

• created project 2 presentation - linked here

3/24/22 - 1 hour 30 minutes

• organized class feedback in my notes regarding project 2 and brainstormed how to incorporate the suggestions

• researched VR Sketch

4/4/22 - 4 hours

• requested access to TechViz XL and Virtalis for until mid-May and to allow collaboration capabilities for the whole class

• conducted some research into SentioVR (in the wiki and online) to check if it would also serve as a good comparison software with DinoVR, VR Sketch, TechVizXL, and Virtalis

• researched CAD models on GrabCAD and created this wiki subpage to document my experience and takeaways

• read through wiki articles about VR Sketch and Sketchup

• looked into Virtualitics new AI platform

• worked on installation process for in-class activities

4/5/2022 - 5 hours

• set up developer mode

• re-installed SideQuest and re-learned how to sideload apps into the Oculus

• completed Part 1 of Aakansha's in-class activity 

• posted screenshots to the class board because it wouldn't upload during class due to wifi issues

• looked into additional VR data visualization software 

  • read through this comparison chart and thought of project idea for using Immersion Analytics

  • reached back out to D6 customer outreach team to discuss their beta trial

    • they haven't released beta platform yet, but would be willing to give me an early, free 7-day version

  • watched and explored YouTube videos to find additional VR software

  • created this wiki subpage to document Steam data visualization applications

• met with David to discuss Project 2 ideas

• researched A-frame and joined the class's A-frame Slack channel 

4/7/22 - 1.5 hours

• created wiki subpage for my finalized project 2 plan 

• download and installation process for pre-class activities 

4/8/22 - 1 hour

• downloaded Immersion Analytics

  • had some access, login, and navigation issues, but after emailing my contact (Bob Levy) at Immersion Analytics, I was able to easily download the zip folder for my Paperspace desktop 

4/9/22 - 1 hour

• uploaded into Immersion Analytics, the athlete_event csv from my Project 1 

• played around with different graph options to try to replicate my Project 1 Virtualitics graphs

4/11/22 - 30 min

• emailed Bob Levy (Immersion Analytics contact person) for how to access the supplemental demos 

• scheduled a meeting with Bob Levy for help getting the best visualization of the csv

• updated journal with my class activity link and updated hours

4/12/22 - 3 hours

• met with Bob Levy from Immersion Analytics

  • he showed me different examples of data visualization from Immersion Analytics basic software and also from using their Python extension

  • walked me through how to best represent the data as text/integers

  • explained the benefits of Immersion Analytics

    • discussed each of the scatterplot visual features and recommended how to apply them to the Olympic data (we did an example together)

  • he walked me through the collaboration features and we did an example group room together to make sure that it worked

    • he gave me instructions on how to set it up for the in-class activity 

  • he give me trouble-shooting advice for if in the future I'm facing lag in the desktop display or the VR is glitching

    • most of it focused on reducing the number of rows in the csv

• tried to modified and filter the csv in Google Sheets

  • when I filter and then make it into a csv, the result includes the filtered-out rows

• tried to figure out what filters I needed for the number of rows to be less than 10,000 (performance limit for using Immersion Analytics on Oculus Quest 2)

  • this also involved considering what sub-research questions I could ask such that it made sense for me to divide the csv 

4/13/22 - 3 hours

• had to figure out how to use Brown's Excel access

  • this involved using the Brown VPN and figuring out how to upload the original csv

  • how to save the Excel to a csv

    • I first tried to upload it as an Excel file to Google Drive, open it in Google Sheet, and then download it as a csv

    • I then realized how to save as a csv on my personal computer 

      • I had to figure out how to save as a csv a version with only the visible filtered row

• I thought I had created two csv files that satisfied the performance limitation criteria, but when I went to test them, they were still too large

  • "Filtered to F and 1900 to 1968 Athlete_Events.csv"

  • "Filtered to F and 1972 to 2016 Athlete_Events.csv"

4/14/22 - 1 hour

• created a correctly filtered csv file for the date period of 1900 - 1964 with only the 15 NOCs and filtered to F

• uploaded this to Google Drive

4/15/22 - 3 hours

• created the remaining csv files with the above filters but for 1968-1994, 1996-2008, and 2010-2016

• uploaded them to Google Drive

• played around with the 1800-1964 csv on Immersion Analytics to see how I could represent the filtered data and which setups were most visually prominent  

• identified medal research question

4/17/22 - 5 hours

• drew a graph that I wanted to use to answer my research question and then created it in Immersion Analytics for each csv file

  • had to assign axis and also manage variables to get rid of entries with medal N/A

• took notes on things I struggled with, benefits of Immersion Analytics, helpful tips for creating visualizations, and overall takeaways about using VR software to answer research questions that I thought would be helpful for my final poster 

• saved my .viz files to Google Drive

4/18/22 - 4.5 hours

• created my Project 2 Progress Report

• created file structure for the csv files and the .viz files

  • created folders and allowed them to be shared through Google Drive links

• downloaded Visualizer for my Oculus Quest 2

  • had to sideload the .apk file through SideQuest 

  • downloaded Android File Transfer and dragged the .viz files from my personal computer to my Oculus Quest 2

  • on the Oculus Quest 2, I tested the .viz experiences I had previously created 

• created Wiki page for my project 2 research on a Continued Look at  Women in the Olympics , which eventually became named Immersion Analytics Research on Women in the Olympics

  • formally identified a research question, shared the data, explained the setup, wrote up installation instructions, provided controller instructions for when viewing the visualizations, shared collaboration instructions, included a screenshot from my testing on the Oculus

4/20/22 - 1 hour

• confirmed the approach and backup plan for my in-class activity 

• created this Google Form for the class to complete during and after the class activity 

4/21/22 - 30 min

• wrote up notes on feedback I gathered during my class activity

4/25/22 - 30 min

• in-class activity prep for Tongyu and Sayan's projects

4/27/22 - 30 min

• in-class activity prep for Aakansha and Shashidhar's projects

5/02/22 - 4 hours

• reviewed all of the Google Form responses and created a wiki page for Takeaways on Immersion Analytics Research as well as a wiki page for the research findings on the medal dispersion of Women in the Olympics (this was represented by my classmates' Google Form responses, and I'm planning on adding screenshots to orient wiki readers)

5/03/22 - 1 hour

• Maia and Beatrice's in-class activity prep

• I got screenshots for each time period in my Immersion Analytics Olympics research to help orient wiki users to the research questions they are reading the conclusions for. I added these to the wiki page for the research findings on medal dispersion of Women in the Olympics.

• I made an Oculus Quest 2 screen recording to showcase the VR Immersion Analytics experience and added it to the wiki page explaining my in-class activity, which eventually will become my Immersion Analytics research on women in the Olympics overview page.

5/04/22 - 4 hours

• moved the public-facing wiki pages that I had created out of my journal subpages and into the appropriate wiki locations (such as under VR Visualization Software (and under the Immersion Analytics page later created) and under VR Modeling Software)

  • I did this for the wiki subpage detailing my GrabCAD experience, the  subpage on Steam Apps for Data Visualization, the subpage for my in-class activity (which made me realize that I needed to change its topic focus to be more generally applicable, so I changed it to be the subpage for Immersion Analytics Research on Women in the Olympics), the subpage under the Immersion Analytics Olympic Research for my research findings on medal dispersion of Women in the Olympics, and the subpage for Takeaways on Immersion Analytics Research.

  • There was no subpage under VR Visualization Software for Immersion Analytics, so I created an Immersion Analytics overview page and a subpage under it for Immersion Analytics Installation and Setup instructions.

    • Now that I had the Immersion Analytics Installation and Setup instructions on its own wiki page, I modified the subpage for Immersion Analytics Research on Women in the Olympics to reference these instructions (instead of repeating them -- they were initially written there because it was initially the page for my in-class activity)

• I updated the Comparison - DataViz VR, Immersion Analytics and Virtualitics wiki page to include my experience with Virutalitics and Immersion Analytics. I made comparisons and updates on the collaboration and data visualization features including licensing access, virtual room creation, and the ease of creating a bar chart or having to use a scatterplot.

• I made sure that each of the wiki pages that I had created included "Created By: Amanda Levy" [insert date created], and for the wiki page I updated, I made sure to  note my update with "Updated By: Amanda Levy May 2022"

• I added my wiki contributions to the "All Other Wiki Contributions" section in my Journal

5/05/22 - 2 hours

• worked on final presentation poster

5/06/22 - 3 hours

• finished draft of final presentation poster

• created flash talk powerpoint slide

5/07/22 - 30 minutes

• practiced flask talk and project 2 presentation

5/09/22 - 1 hour

• printed draft of final presentation poster

• practiced again the flask talk and project 2 presentation

5/10/22 - 2 hours

• revised my final project poster based on project 2 final presentation feedback

  • rescaled the poster itself to be bigger

    • this let me increase the image size and make the ratio of text to poster space less packed

5/11/22 - 2 hours

• worked on my final project poster

  • finished making the text box layout bigger

  • re-colored the images

5/16/22 - 2 hours

• updated my final project poster based on feedback from Ross

  • fixed the bullet point capitalization to match Ross's advice -- "I think that any bullet under a heading (e.g. takeaways) should be capitalized, but the sub-bullets of those bullets are fine to be lowercase."

  • made the text larger, which meant that I had to rescale and shift some of the text boxes

• made sure that my wiki entries and journal was appropriately updated and matched the requirements sent by Ross