before after
---- ----
1 | 4 | Goal 1: articulate VR visualization software tool goals, requirements, and capabilities;
1 | 4 | Goal 2: construct meaningful evaluation strategies for software libraries, frameworks, and applications; strategies include surveys, interviews, comparative use, case studies, and web research;
1 | 4 | Goal 3: execute tool evaluation strategies;
1 | 3 | Goal 4: build visualization software packages;
1 | 5 | Goal 5: comparatively analyze software tools based on evaluation;
1 | 5 | Goal 6: be familiar with a number of VR software tools and hardware;
1 | 5 | Goal 7: think critically about software;
2 | 5 | Goal 8: communicate ideas more clearly;
1 | 4 | Goal 9: be able to distinguish when could be a good time to do AR/VR data visualization, instead of regular 2D data visualization
CONTRIBUTION 1 Fix link for the paper on page VR in engineering
CONTRIBUTION 2 Update Vuforia page with latest change and more details Link
CONTRIBUTION 3 Update Time series data and Environmental Data to Scientific Data page Link
CONTRIBUTION 4 Add a page about web XR to VR Development Software Link
CONTRIBUTION 5 Activity page link Project 1 Link
CONTRIBUTION 6 Add a page web XR Animation tutorial + debug tips Link
CONTRIBUTION 7 Update Midi file to scientific data page Link
CONTRIBUTION 8 Major udpate MIDI DATA VISUALIZATION USING MAESTRO MIDI PLAYER TOOL KIT page Link
CONTRIBUTION 9 Major update of VR IN AUDIO VISUALIZATION MIDI Link
CONTRIBUTION 10
Total: 137.5 hours
Timestamp
Which group are you in?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
Stop your timer. How long did it take you to complete this part? Please answer in the following format: MM:SS
(For example, 02:45 means 2 minutes and 45 seconds.)
Were you able to identify repeating patterns or motifs in the score?
Did you rely more on visual notation or audio to learn/memorize the structure of the music?
Did the sheet music help you follow the structure of the piece?
How clear was the music annotation on the 2D platform?
How engaging the music annotation on the 2D platform?
How immersive the music annotation on the 2D platform?
How mentally demanding was the task of looking at music annotation?
How physical demanding was the task of looking at music annotation?
How frustrated or stressed were you completing the task?
How confident were you in recognizing the patterns in the sheet music after this task?
For complete the questions in the timed section, how confident are you in your answer?
Compared to traditional sheet music (if you’ve seen it, if not you can leave it blank), how would you rate this version?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
Stop your timer. How long did it take you to complete this part? Please answer in the following format: MM:SS
(For example, 02:45 means 2 minutes and 45 seconds.)
Were you able to identify repeating patterns or motifs in the visualization?
Did you rely more on visual notation or audio to learn/memorize the structure of the music?
Did the visualization help you follow the structure of the piece?
How clear was the music visualization on quest 3?
How engaging the music visualization on quest 3?
How immersive the music visualization on quest 3?
How mentally demanding was the task of looking at music visualization on quest 3?
How physical demanding was the task of looking at music visualization on quest 3?
How frustrated or stressed were you completing the task?
How confident were you in recognizing the patterns in the visualization after this task?
For complete the questions in the timed section, how confident are you in your answer?
Compared to traditional sheet music (if you’ve seen it, if not you can leave it blank), how would you rate this version?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
How familiar does this music visualization look to you?
Stop your timer. How long did it take you to complete this part? Please answer in the following format: MM:SS
(For example, 02:45 means 2 minutes and 45 seconds.)
Were you able to identify repeating patterns or motifs in the visualization?
Did you rely more on visual notation or audio to learn/memorize the structure of the music?
Did the visualization help you follow the structure of the piece?
How clear was the music visualization on quest 3?
How engaging the music visualization on quest 3?
How immersive the music visualization on quest 3?
How mentally demanding was the task of looking at music visualization on quest 3?
How physical demanding was the task of looking at music visualization on quest 3?
How frustrated or stressed were you completing the task?
How confident were you in recognizing the patterns in the visualization after this task?
For complete the questions in the timed section, how confident are you in your answer?
Compared to traditional sheet music (if you’ve seen it, if not you can leave it blank), how would you rate this version?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
How familiar does this music notation look to you?
Stop your timer. How long did it take you to complete this part? Please answer in the following format: MM:SS
(For example, 02:45 means 2 minutes and 45 seconds.)
Were you able to identify repeating patterns or motifs in the score?
Did you rely more on visual notation or audio to learn/memorize the structure of the music?
Did the sheet music help you follow the structure of the piece?
How clear was the music annotation on the 2D platform?
How engaging the music annotation on the 2D platform?
How immersive the music annotation on the 2D platform?
How mentally demanding was the task of looking at music annotation?
How physical demanding was the task of looking at music annotation?
How frustrated or stressed were you completing the task?
How confident were you in recognizing the patterns in the sheet music after this task?
For complete the questions in the timed section, how confident are you in your answer?
Compared to traditional sheet music (if you’ve seen it, if not you can leave it blank), how would you rate this version?
How would you rate your experience with music? Would you consider yourself a beginner, intermediate, advanced, or someone with no prior experience?Please explain your background in your own words (e.g., what instrument(s) you play, how long you’ve been involved with music, or any formal training you’ve had).
If you could improve one part of this experience, what would it be and why? You can put NA if you cannot think of any
Do you have any additional comments?
If you have any screen shots, please upload.
4/23/2025 22:12:13
Group1
7
2
6
3
2
7
2
2
00:28
Somewhat
Mainly visual notation
6
5
1
1
3
1
3
2
6
6
2
7
1
9
1
5
6
20
Somewhat
Both equally
7
5
8
7
5
3
3
5
5
beginner
the space between each bar should be wider
NA
4/23/2025 22:54:37
Group2
2
7
1
10
1
3
7
3
01:08
Somewhat
Mainly visual notation
5
7
5
1
2
2
2
3
1
10
10
1
8
3
2
9
00:37
Somewhat
Mainly visual notation
4
8
5
3
1
1
2
6
5
I've had no formal training in music.
I think it would be cool to be in a distraction free virtual blackbox room for the visualization.
4/24/2025 10:50:22
Group1
8
1
5
6
1
4
3
1
1:28
Somewhat
Both equally
6
7
6
4
8
2
5
7
6
7
4
3
4
4
3
4
1
1
0:42
No
Mainly visual notation
6
3
8
8
9
2
6
1
2
4
Beginner/Intermediate. I had early music lessons where I learned notation, but it was a longgg time ago. I mostly play chord music with guitar/ukulele/piano (maybe about 8 years)
I think what felt hard about the AR visualization was that the parts continuously moved and updated, which made it hard to keep track of specific shapes throughout. In the 2D version, I could see the notes on screen longer which I think helped with feeling more confident on the pieces I saw.
This was a fun activity!! I think audio is such a compelling piece to work with in AR, excited to see if it helped with memory!
https://drive.google.com/open?id=1BzseYOi6N_47f1t-6bbx5IbEypAnWt3c, https://drive.google.com/open?id=11JAOAmmoNZlNZpw0o-VE2Fm1IW_2mEr0
4/24/2025 10:51:01
Group1
3
1
1
2
1
1
1
1
0:30
Somewhat
Mainly audio
4
4
1
1
9
5
9
1
1
6
3
1
1
1
1
1
1
1
0:42
No
Mainly audio
1
1
1
3
10
4
10
1
1
1
Maybe intermediate, but out of practice. I played several instruments decades ago: trumpet, french horn, piano. I sing sometimes. I can semi-read music.
The music vis was very hard to interpret. The default view was not useful, and changing it took me a while to figure out. Even with view changes, I was not able to really understand how the shapes followed the music.
The two pieces were very different. The slow one seems like it would be easier to interpret in either environment.
4/24/2025 10:53:13
Group2
8
6
3
8
7
9
5
2
00:35
Yes
Mainly visual notation
8
7
8
4
5
2
2
7
5
2
1
9
3
3
2
9
9
00:25
Yes
Mainly visual notation
8
6
4
3
5
1
2
6
8
No prior experience/background!
I would've really love to see the AR experience from the side. Having depth associated with the pitch didn't necessarily make intuitive sense to me, which made things harder to follow.
Really great project! The AR experience felt like looking at an art piece. It was interesting to see how the notes ended up being grouped in space, and when you could tell that something changed or stood out among those groups.
https://drive.google.com/open?id=1-fUqd_5etH96xM0ry8uVH8gfY1r2-cd1, https://drive.google.com/open?id=18jkZB2CRmGKQ1qflm7x6mb91xH5HNfwn
4/24/2025 10:53:42
Group2
7
2
4
8
9
4
8
8
00:42
Somewhat
Mainly audio
10
9
10
10
3
3
2
2
2
7
1
1
10
3
2
3
10
10
0:26
Somewhat
Mainly visual notation
8
10
6
5
2
2
1
8
7
9
I am a beginner, I only have played piano for fun, but learning music by memorization and not by actual notes. I can't read sheet music.
In AR, maybe including the music note name on each block would be good for people learning music. But also, I like how you used the cubes to keep the visualization streamlined so adding additional information could be overwhelming.
Very cool project! I really felt immersed in the AR version and this helped me pick out the high vs low notes much clearer. Sometimes when I'm listening to music, I can't pick out all of the complexities, maybe because I don't have a musically trained ear. The AR version helped me understand more of what was going on within the piece and also made me think more about what I was listening too. Also, great job on the controller movements and rotation!
4/24/2025 10:54:53
Group2
7
6
2
2
7
7
3
01:30
Somewhat
Mainly audio
7
5
8
9
7
1
7
4
2
6
4
2
7
3
4
1
6
7
01:23
Somewhat
Not sure
4
4
5
2
7
2
5
4
2
5
Beginner -- I learned how to play piano for 1 year, but I was very bad. I can read sheet music only if I do the "every good boy deserves fruit" trick and others.
It wasn't immediately clear what the bars represented in the AR version - so having that information on screen (i..e the pitch, duration, etc and what it corresponds to) rather than on the journal instructions may be useful. Also I don't think I was looking at the visualization the way you were intending as the pictures in the google form were very different to how i had positioned the visualization, and i didn't realize it had to be laid out horizontally -- that was my bad.
I thought the panel on which everything behind it became black and white was a really good idea! It blocked out other distracting colors and made it easier to see the colors of the individual notes in the visualization. Overall very cool experience!!
4/24/2025 10:55:25
Group1
3
1
4
4
2
4
3
6
00:35
Somewhat
Both equally
6
4
6
4
3
1
1
2
3
6
6
3
2
3
2
4
7
2
00:45
Somewhat
Both equally
6
4
7
7
2
2
2
5
beginner! not very good at any instrument, had a bit of formal training with piano but was very bad
it would be nice to know what each axes represented in the VR visualization
4/24/2025 10:56:16
Group2
9
4
3
7
9
9
5
4
01:47
Yes
Mainly audio
9
8
9
9
4
2
3
4
4
8
1
2
8
3
2
2
10
8
00:57
Yes
Both equally
8
8
5
2
7
1
3
8
8
Beginner. I used to have music theory lessons in middle school where we learnt how to read music sheets but I hadn't done it in a long time (until now), so I was very much out of practice but I guess the intuition sticks with you.
The AR experience was great, definitely had a slight learning curve at the beginning as I played with the controls you specified in the instructions. Also, a lot of the options you put for the music sheet had notes on the top of the pentagram when most of the song happened at the bottom of the pentagram, which was one of the things that made it easier to spot what hadn't been part of the music sheet. Maybe that can help explain the results I got.
Great job!! I really enjoyed this activity. I like the song you chose :)
4/24/2025 10:56:20
Group1
7
4
5
4
3
3
1
1
1.32
Somewhat
Mainly audio
8
8
7
7
10
3
6
3
3
8
8
6
4
7
7
2
2
2
00:39
Somewhat
Mainly audio
6
6
7
7
7
7
6
5
4
4
I think I'm advanced in music, I played the piano for about 3years and the violin for 5-6 years.
For me, the notes staying for a while after playing was a little confusing. If the newly played notes had a highlight or a different color, that may have helped!
I loved the music choices :)
https://drive.google.com/open?id=1duNHPDGtyXsYSJN_nVLKBFGRiyuIQ5c1
4/24/2025 11:03:21
Group2
9
3
3
9
7
2
02:50
Yes
Both equally
9
7
8
7
3
2
4
4
3
6
6
2
3
2
2
2
3
2
02:10
Somewhat
Mainly visual notation
5
3
2
3
1
1
3
3
2
5
I've played piana, clarinet as a kid until high school. Picked piano back up recently in college. Had some formal piano lessons and band class in middle school. Wouldn't say i'm a music expert though.
I think having spatial audio could be cool actually if you could drag the music notes to certain locations to adjust the audio distance. Some of my grad friends recently submitted/published research for something related to this actually.
Great job mia getting through the unity craziness!
Would be cool if dragging the blocks would change the sound effects! Location based sound, changing volume, etc. -- i'll share some of my phd friends' audio-visual-spatial research in slack!
This would have been great on 4/20 🍃! ;)
https://drive.google.com/open?id=1uvzNz0OfnjIRHY3ptnKx2lq0NRMAhD33
4/24/2025 11:03:24
Group1
8
2
7
2
6
4
2
6
01:52
Somewhat
Both equally
8
5
3
3
10
2
8
2
2
9
8
6
6
3
6
7
5
01:07
Somewhat
Mainly visual notation
8
7
8
7
6
2
6
6
5
I have little to no experience in reading music sheets. I played piano just for fun when I went to my cousin's home when I was little. I also tried to learn acoustic guitar for about a month or so before I gave up when I was very very young.
I was thinking maybe the colors of the notes in the AR app could encode some information?
I'm very sensitive to the size of the virtual objects. Whenever something very big or small shows up would have a longer-lasting impact on my memory. So to me the biggest difference between the 2 versions is that the AR version amplifies the experience of sensing object sizes and it helps me with the recognizing the patterns.
4/23/24 - 3 Hour
2。h5 r
update MIDI DATA VISUALIZATION USING MAESTRO MIDI PLAYER TOOL KIT page Link
4/23/24 - 2.5 Hour
2.5 hr
update MIDI DATA VISUALIZATION USING MAESTRO MIDI PLAYER TOOL KIT page Link
4/23/24 - 6 Hour
6 hr
make the survey, screenshots of answer + order arrangement
4/23/24 - 9 Hour
3 hr
Unity building blocks for switch song implementation
3 hr
Unity building blocks for move up/down/left/right
2.5 hr
Unity building blocks for move up/down/left/right debug so that the future blocks and the past blocks are aligned
1.5 hr
Unity building blocks for rotate + rotate alignment debug
YES 🎉 finished up!!!!
4/22/24 - 3 Hour
3 hr
Unity UI canvas debug for swtich song
4/21/24 - 5 Hour
5 hr
Unity interaction tool kit
4/20/24 - 5 Hour
5 hr
Unity debug switch song with button Ui
Unity ray interator
Unity motionTBD
4/19/24 - 5 Hour
5 hr
Unity visualization color adding
Unity debug visualization(moving smoothly)
4/17/24 - 5 Hour
5 hr
Visualization script edition(so that pitch/value = height, duration = weight, velocity/volume = length)
script debug for show only the most recent 10 ticks(moments of notation)
4/16/24 - 2.5 Hour
0.5 hr
class prep for Feiyue and Colby's in-class activity
2 hr
Unity setup tutorial
4/14/24 - 0.5 Hour
0.5 hr
class prep for Sofia's in-class activity
4/12/24 - 5 Hour
5 hr
Meastro not playing debug with when starting a new project
Meastro how to add new midi file
4/6/24 - 2 Hour
2 hr
presentation prep for project 2 update
4/4/24 - 4 Hour
4 hr
debug script for different volume
update script for add pitch
4/2/24 - 4 Hour
4 hr
Unity install meastro and do a demo
write script for display octaves for different volume
4/2/24 - 2 Hour
2 hr
presentation prep for project 2 update
3/25/24 - 2 Hour
2 hr
explore data for project 2, specifically on Midi file
3/16/24 - 1.5 Hour
0.5 hr
updated the related link WebXR page in VR Development Software with most recently added wiki page from 2025 Link
1 hr
read the Seven Scenarios Paper
1 hr
draft project 2 plan Link
3/11/24 - 1.5 Hour
0.5 hr
Eunjin Changing light settings pre class set up
1 hr
make presentation for the final
draft self-evaluation
Class Attendance & Participation (15%) – I attended all classes except for one due to illness and actively participated in discussions. I also contributed to the class Slack with useful responses and shared my VR lab experience as a volunteering participant. (Full credit)
Survey Contributions (15%) – I designed a comprehensive survey and contributed to data collection and analysis. The results were super insightful. I also try to give my best feedback to my peer's survey (Full credit)
In-Class Activity Quality (20%) – I actively engaged in all in-class activities, though I occasionally forgot to put screenshots in the activity board and had to make it up later. However, I ensured I followed along with the exercises and discussions. (Around 18/20)
In-Class Activity Results Analysis (10%) – My analysis was insightful. Details can be seen in my final representations. (Full credit)
Weekly Journal (15%) – I consistently updated my weekly journal and the time is accurate. (Full credit)
Final Wiki Contributions (25%) – I completed four wiki updates but could have put in more effort to expand the content further. (Around 21/25)
3/9/24 - 2.5 Hour
2.5 hr
Update Wiki contribution of data cleaning and processing for WebXR
Add wiki web XR Animation tutorial + debug tips
3/8/24 - 1.5 Hour
0.5 hr
project 2 idea brain storm
AR 3D comic book
use Kivicube (see video right or this link)
How to do VR and what is the point of VR
Something integrating LLM
1
popping bubble and bubble color indicating mood
LLM --> mood
Speech recognition --> number of bubble
2
flying words
Speech recognition --> letter or character
catch the words to make a sentence?
1 hr
Update Wiki scientific data
3/5/24 - 3 Hour
0.5 hr
Colby's In-Class Activity Pre-Class Set-Up
0.5 hr
organize survey
2 hr
improve time and country canvas display in XR mode
3/3/24 - 4.5 Hour
1.5 hr
debug WebXR controller change the year and country
1.5 hr
debug WebXR controller change the data with TAs
1 hr
prepare in-class instruction and survey
0.5 hr
Water Data in-class activity setup
3/2/24 - 5 Hour
3 hr
implement code for controller to change the data(swtich country and year)
2 hr
installing vite and local host certificate for easy sharing access(Thanks Feiyue!)
3/1/24 - 4 Hour
3 hr
update UI control
webXR update
Session and Input Source Handling
Animation Loop Setup
Controller Input Handling
1 hr
Controller Input Handling debug
changeyear and country on web also sometimes have problem
2/28/24 - 3 Hour
2 hr
Data Integration and Controller Setup
Implement code for event listener for web version on XR
Implementing Tree Visualization in VR
1 hr
debug code for event listener for web version on XR so that the data is properly scaled and animation is properly triggered.
2/25/24 - 4 Hour
2 hr
initialization
implement code for event listener for web version on XR
2 hr
debug code for event listener for web version on XR so that the data is properlly scaled and animation is properlly triggered.
2/24/24 - 1.5 Hour
1 hr
pivot to give up on Vuforia
research new appraoch(benzi or webXR)
get rid of map recoginzation part
reduce the variable numbers for the data visualzation --> only cover loss and gain
new visualization formula (insert basic number to avoid the condition when a country has negative cover change)
0.5 hr
Prepare 3 minute project update with powerpoint
2/23/24 - 4 Hour
4 hr
Vuforia + unity debug 😭
cannot properly link the recognization of the map with the correspoding data visualization
2/22/24 - 3 Hour
3 hr
Building data visualization
Vuforia + unity debug
2/18/24 - 3 Hour
1 hr
Complete installation steps for both Paraview
Sign up for AVP Unity Lab slots outside of class!
2 hr
Data analysis, not every country is a good choice of visualization
eg chinese, has huge basic numbe of land cover, than it is hard to tell the change(either gain or loss) between years.
continue on Vuforia building
2/16/24 - 5 Hour
5 hr
set up unity and try out basic functionality
Vufoira set up and try out
update Vufoira wiki
2/15/24 - 3 Hour
3 hr
clean up data(cover loss and CO2 emission) from global forest watch by parsing different threshold together.
clean up data to delete location/region that has missing data
clean up data to parse ISO code with country name
reorganize data so that the timestep is aligned
preprocess data into excel and json file.
2/12/24 - 2 Hour
0.5 hr
journal self-evaluation (15 min)
rebruic
5 == exceeds expectations
4 == meets expectations
3 == mostly solid with some gaps
2 == shows some progress
1 == some attempt
0 == not found
Journal activities are explicitly and clearly related to course deliverables
5, activities are directly related to the class schedule with clear description
deliverables are described and attributed in wiki
2, need more contribution on the wiki deliverables in the future
report states total amount of time
5, yes at the top of the journal.
total time is appropriate
5, just double checked the total time, and report my time honestly.
presentation prep (15 min)
1 Hour
Unity setup, installation, basic experimentation
0.5 Hour
project 2 brainstorm
music 3D display, visualize music note of the piece as stairs with a ball on top
inspiration
display/compare repeats of the melody, especially on Bach fugue
tool:
librosa
music visualization blender https://www.youtube.com/watch?v=cr7X4jV3kac
other coding music visualization with github https://www.youtube.com/watch?v=_yXQayoxJOg
To be watched(https://www.youtube.com/watch?v=qDIF2z_VtHs )
2/10/24 - 0.5 Hour
0.5 hr
Properly update project 1 proposal as a wiki page rather google doc, update presentation link.
Update Project Evaluation for project 1
2/9/24 - 4.5 Hours
0.25 hr
Continue DinoVR and put screenshot in Class Activity Board under DinoVR Screenshots.
0.75 hr
Revise project 1 proposal into one google doc
Evaluate project plan using the rubric
make presentation slide accordingly
3.5 hr
research to fulfill milestone by 2/11
data visualization idea for NewCo on quest 3 : https://www.youtube.com/watch?v=PoQxW3ZEklg
Unity set up:
data visualization effet: https://forwork.meta.com/blog/how-data-visualization-impacts-businesses/
data of deforestation:
2/5/24 - 3 Hours
0.5 Hour - In Class continuation
finished DinoVR experience from class
finished class activity broad your presentation
1.5 Hour
project 1 research(finding data and compare feasibility across projects)
1 Hour
refine propose plan, update schedule
2/11: research(data refinement, software selection, 3D simulation platform)
2/13: 3D simulation with the global map and prototype time effect and data display ( try resolution smaller than a country)
2/20: continue
2/25: overlap second type of data on the original global map
2/27: compare multiple types of data by regions(to observe the interplay )
3/04: debug & class prep
3/06: gather feedback and potential improvement.
2/1/24 - 3 Hours
1.5 Hour
download DinoVR
read DinoVR paper
1 Hour
Global deforest/forest data visualization
list three things you will do during the project
Collect and analyze global deforestation/afforestation data from sources like Global Forest Watch or UN FAO
Create an immersive 3D VR visualization of forest cover changes over time, highlighting hotspots
Develop interactive VR layers to explore causes (e.g., logging, wildfires) and impacts (e.g., carbon emissions, biodiversity loss).
list one class activity we might do for the project
VR headsets to "fly over" deforested regions and interact with data points
list potential deliverables
A VR environment with time-lapse forest change maps.
A report linking deforestation trends to economic/policy factors.
New York Time wedding announcement data
list three things you will do during the project
Scrape and analyze NYT wedding announcements for trends (e.g., professions, education, marriage age, name, parent info).
Build a VR "social network" visualization showing connections between couples’ backgrounds.
Create interactive VR stories?? like walk into someone's marriage(might be hard to do)
list one class activity we might do for the project
design VR narratives based on wedding announcement data?(not sure )
list potential deliverables
A VR experience exploring socioeconomic trends in marriage.
A report illustrating statistical analysis
3D map of transportation of high-speed train during Spring Festival
list three things you will do during the project
Gather real-time/past transportation data (e.g., ticket sales, routes) for China’s Spring Festival travel rush.
Model a 3D VR map of high-speed rail networks with animated passenger flow
Simulate peak travel times and bottlenecks
list one class activity we might do for the project
Teams prototype a section of the rail network, then combine modules into a full system???
list potential deliverables
A VR simulation of Spring Festival travel patterns.
A data-driven report on infrastructure strain and solutions.
0.5 Hour
Brainstorm software evaluation metrics
Global Deforest/Forest Data Visualization in VR
Alignment with verified sources
Pre/post-VR quiz score improvement
New York Times Wedding Announcement Data in VR
Engagement duration?
User ratings of story compellingness?
3D Map of High-Speed Train Transportation During Spring Festival
Identification of bottlenecks
rendering?
1/30/24 - In Class continuation
1 Hour
Google earth lab
1/30/24- 4 Hours
2 Hours
Set up Quest 3, Paperspace and SteamVR
explore free VR games and get familiar with the headset
Added the course learning goals to the top of my journal
1 Hour
Explore previous students' work on project 1:
Brainstorm potential project ideas:
Global deforest/forest data visualization with time series on global map and with total amount calculation
New York Time wedding announcement data
Family/social connection tree
Wedding timeline that change the focus of social
Matchmaking prediction via ML?
3D map of transportation of high-speed train during Spring Festival(chunyun)
busiest train station with perspective change(worker/student/engineer)? (need further research on dataset)
Immersive theater play, similar to Sleep No More, allowing the users to run around in a specific building and explore different stories from various perspective
1 Hour
Pick 2-5 potential pieces of software to explore and evaluate for your research project
unity
3Data
1/27/24 - 4 Hours
Created personal journal page
Went through course timeline
Set up slack and introduced myself
Read through project ideas
Check out Kenny Gruchalla's bio and leave questions
Read through the wiki and identified nine potential changes(see below)
Completed the first 10 minute task (marked as DONE below).
9 separate changes I would make to the wiki:
10 minutes
Fix link for the paper on page VR in engineering [DONE]
Write something about Meta Quest 3 on this page, at least include the link taking reading to the subgroups(Quest 3 Setup Guide & Quest 3 Practice Tutorial)
One block on VR Art Gallery Software requires google drive access, make sure it is public for all.
1 hour
Talk about the common way of finding the dataset, and the advantage and disadvantage between big data and specific data
Add "VR in Architecture" section under What is VR for?(the current link takes to 404 page)
Update content one the Home page so that it is consistent with the most recent changes.
10 hours
Consolidate pages of VR Visualization Software sections, and make sure the structure of this section is on this page for easy nevigation
Create a page about "VR in Tourism and Travel" and its impact on cultural experiences.
Create a page about Current Difficulties/Limitations under the page Related Technology