What’s been happening in the DiVE?

Duke Visualization Friday Forum: 4/17/2015Presented by Regis Kopper + David J. Zielinski

1

DiVE Personnel

Regis KopperDirector

David J. ZielinskiResearch and Development Engineer

Carla SturdivantFinance / Grants

Joanne GrosshansAdministrative / Booking

Mark OgrenPratt IT George A. Truskey

Senior Associate Dean for Research

2

DiVE Students

AyanaBurkins

EmmanuelShiferaw

RebeccaLai

TeddyWard

TreyBagley

ChengMa

Elizabeth Onstwedder

Stephanie Fiddy

Carolyn Dugas

3

NSF Major Research Instrumentation Award

Proposal StrengthsInterdisciplinarity: 14 projects, 3 disciplines, 11 research areas

Broader impact : Applicability to different areas, outreach, focus on minorities

Two-panel review: BCS (top 3/19) + CNS (Highly Recommended)

4

$399,720 Awarded

30% Matching from Duke’s Provost Office

$571,029 Total budget for upgrade

Overview of “HiDiVE” Upgrade 5

Let’s watch the video!

6

System Install

Hardware Upgrade OverviewItem 2005 2015 Result

Projectors Christie MirageS+2K

Christie Mirage WU7K-M (x2)

Higher ResolutionBrighter ImageHigher Frame Rate

GPU Quadro FX 3000Quadro FX 5600

Quadro K6000 Larger ModelsBetter Lighting/Shaders

ShutterGlasses

Stereographics CE-3 RealD CE-4

Volfoni Edge RF No line of sight issues (less glasses losing sync)

Tracking Intersense IS-90018 emitters

latest IS-90033 emitters

Better Tracking Coverage(especially near floor)

7

Projectors2015

Model Christie Mirage S+2K Christie Mirage WU7K-M

Stacked (2)WU7K-M

Native 1400x1050 = 1.1 M 1920x1200 1920x1920 = 3.7 M

Refresh 120hz (110hz actual) 120hz 120 hz

Lumens 3,000 6,300 12,600

8

Overlap/Blending

1920

1200

480

720

720

Blend Zone

Details: ● Projector hardware “Christie Twist” provides alignment and blending.● NVIDIA Premium Mosaic provides single desktop per wall.

9

Graphics Cards 2015

NVIDIA Quadro FX 3000 NVIDIA Quadro FX 5600 NVIDIA Quadro K6000

Clock 400mhz 600mhz 700mhz

Cores n/a 128 2880

Memory 256MB 1.5GB 12GB

Tri/Sec 100 million 300 million 2000 million

Note: using 2 outputs per K6000

10

Shutter Glasses

IR LIGHT

RF

Crystal Eyes CE-3 RealD CE-4 Volfoni Edge RF

2015

Note: RF has no line of sight issues

11

Tracking SystemExisting EmittersNew Emitters

2005

2015

12

DVI

Extron DL 201

CAT6

Main DiVE RoomMachine Room

Single Wall System Diagram

DellT7400

NVIDIA Quadro K6000

Stacked (2)Christie WU7K-M

NVIDIA Quadro Sync

To Next Node 13

Additional VR Hardware (CIEMAS 1411)

zSpace 200VR Workbench/Tabletop

Oculus DK1 + DK2VR HMD

14

Razer Hydra6DOF Tracking

DiVE Software Libraries

Library Description License 2005 2015

Avizo sci/med vis Commercial Yes (Amira) Yes

Syzygy low level / OpenGL Open Source Yes Yes

Virtools game engine Commercial Yes Legacy

Unity game engine Commercial No Yes

15

Unity + MiddleVR Plugin

Sebastien Kuntz

16

Recent Projects

17

Exploring the Effects of Image Persistence in Low Frame Rate

Virtual Environments

Regis KopperDuke immersive Virtual Environment

Duke University

David J. ZielinskiDuke immersive Virtual Environment

Duke University

Hrishikesh M. RaoDept. of Biomedical Engineering

Duke University

Marc A. SommerDept. of Biomedical Engineering

Duke University

18

Low Persistence - Explanation

Issues: HP multiple “phantom lines” artifacts for moving objects, LP has strobing effect. 19

20

HFR significantly faster (p < .0001) than HP and LPNo significant difference between HP and LP.

Low Persistence - Selection Task

HFR significantly faster than LP (p < .05) and HP (p < .005)

21

Path Width vs Display Method

Low Persistence - Navigation Task

Low Persistence - Future Work

● Test targets in motion.

● Collaborate with professor Greg Appelbaum.

22

Perceptual Load in the Kitchen: Measuring Distraction in Immersive Virtual Reality

XO O NO O O

KM Z NH X W

Perceptual Load Theory:

Distraction is stronger when perceptual load is low, rather then high.

Low Perceptual Load

HighPerceptual Load

Bettina OlkJacobs University

David J. ZielinskiDuke University

Regis KopperDuke University

23

Perceptual Load - ExperimentCongruent Incongruent

Low Load(target=soda)

High Load(target=yogurt)

● User searched for target within the circle (soda or yogurt) ● Flanker (congruent or incongruent) had to be ignored.● Perceptual load was manipulated by the color of the distractors.

24

● Contrary to theory, distractor effect not modulated by load.● Use VR to test traditional research, in complex ecologically valid scenarios.

Perceptual Load - Results

25

Duke Health and Wellness Center Vis

A builder and developer of some of the most highly visible projects domestically and internationally.

Jun YinStudent

Master of Engineering Managment

Pre-Visualization of Examination Room

John H NicholsonProfessor

Master of Engineering Management

26

Structual Engineering

Joe NadeauProfessor Civil Engineering

CEE429: Final Projects Next Week27

Wayfinding by Auditory Cues in Virtual Environments

Wayfinding: cognitive component of navigationHypothesis: spatial audio will aid in spatial memory tasks

Ayana BurkinsCS JuniorDuke University

Regis KopperDuke University

28

Auditory Cues - Environment

● Two mazes● With and without

spatial sound● Visible landmarks

29

With Sound

Without Sound

Auditory Cues - Pilot EvaluationTravel to target

30

Dig@IT: Virtual Reality in Archaeology

● Archaeology preservation● Scanning of multiple

excavation phases● Multi platform

(Currently implemented on Oculus Rift)

● Dynamic model loading

Regis KopperDuke University

Emmanuel Shiferaw

Duke University

Cheng MaDuke University

Nicola LercariUC Merced

Maurizio ForteDuke University

Çatalhoük archaeological site in Turkey

31

Dig@ITFeatures

In-Context Menu32

Digital Archaeology

Tablet Tool

Timeline Tool

33

Dig@ITLet’s watch the movie !

Comparison of Interactive Environments for the Archaeological Exploration of 3D Landscape Data

Remote sensing for archaeological landscapes

Rebecca BennettUniversity of Winchester

David J. ZielinskiDuke University

Regis KopperDuke University

34

Landscape Archeology - Vis Layers

Different observations based on visualization layer

More history can be seen via Lidar.

Aerial photograph Elevation map

Local relief model Hillshade35

● 6 Expert participants● 6 Inexperienced participants● Ability to change visualization layer● Think-aloud protocol

DiVE 3D web application 2D GIS application

36

Landscape Archeology - User Study

Landscape Archeology - Results

37

How to Get Involved

● Taking courses● Work study● Volunteering

○ tour guides○ projects○ website development

● Collaborations○ Projects that can benefit from immersive vis○ Opportunities for grant funding

38

ISIS 320 - Introduction to Interaction Design and Virtual Environments

● Spring 2016 Course● Concepts of Human-Computer Interaction

and Virtual Reality Technology● User-centered design applied to 3D user

interfaces● Project-oriented course

39

May be taken as CS independent study!

Tuesdays 4-5pmExperience DiVE appsFirst come first served

DiVE Public Open Houses

regis.kopper@duke.edudjzielin@duke.edu

Questions?40