1. [user requirement for VR sickness editing]
[Wookho Son, Heeseok Oh, Seungwoo Nam, Beom-Ryeol Lee/ETRI]

2. Compliance with IEEE Standards Policies and Procedures
Subclause of the IEEE-SA Standards Board Bylaws states, "While participating in I EEE standards development activities, all participants...shall act in accordance with all a pplicable laws (nation-based and international), the IEEE Code of Ethics, and with IEEE Standards policies and procedures."
The contributor acknowledges and accepts that this contribution is subject to
The IEEE Standards copyright policy as stated in the IEEE-SA Standards Board Bylaws, secti on 7, and the IEEE-SA St andards Board Operations Manual, section 6.1, opman/sect6.html
The IEEE Standards patent policy as stated in the IEEE-SA Standards Board Bylaws, section 6, and the IEEE-SA Standards Boar d Operations Manual, section 6.3, html
user-requirement-for-VR-sickness-editing

3. User requirement for VR sickness editing
IEEE 3079 HMD Based VR Sickness Reducing Technology Dongil Dillon Seo,
User requirement for VR sickness editing
Date:
Author(s):
Name
Affiliation
Phone [optional]
[optional]
Wookho Son
ETRI
Beom-Ryeol Lee
Heeseok Oh
Seungwoo Nam
user-requirement-for-VR-sickness-editing

4. Contents Scope Functional requirement Environmental Requirement
User interface
user-requirement-for-VR-sickness-editing

5. Scope Import content for evaluate VR sickness
Apply correlation map b/w the system parameters and
symptom of VR sickness
Plug-ining on general content engine, like Unity, Unreal, etc
UI design for VR sickness editing tool
Visualization system parameters and VR sickness level
Supporting mode change: operational mode and editing mode
Report generation for VR sickness information
user-requirement-for-VR-sickness-editing

6. Modelling Correlation map
Learning Step
Subjective VR
sickness value
Feature extraction
for time info
Feature extraction
for spatial info
Machine
Learning
Algorithm
Clinical data
For VR sickness 𝑇 𝑇
Testing Step
Prediction value of
VR sickness
Feature extraction
for spatial info
Feature extraction
for time info
Machine
Learning
Algorithm 𝑇
Prediction
Model
Clinical data
For VR sickness
user-requirement-for-VR-sickness-editing

7. Environmental architecture
Content (UI)
Bridge (C#)
OS Plug-in
OS Native
user-requirement-for-VR-sickness-editing

8. Operating and editing Mode
Content
Operating
Mode
Keyframe Extraction
Feature
Extraction
Prediction VR sickness
VR sickness Level
Editing
Mode
Keyframe Extraction
Feature
Extraction
Prediction VR sickness
VR sickness Level
user-requirement-for-VR-sickness-editing

9. Conclusions Requirement for VR sickness editing tool
Visualization features of VR sickness
Apply correlation model for VR sickness
Operational and editing mode
Pulg-ining
user-requirement-for-VR-sickness-editing

10. Thank You