COMP 4010: Lecture 4 - 3D User Interfaces for VR
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This document discusses 3D user interfaces in virtual reality, emphasizing the importance of natural interaction techniques to enhance user experience. It covers various interaction methods, guidelines for creating effective interfaces, and the challenges associated with 3D interaction, such as precision and spatial input. Additionally, it outlines key concepts related to navigation, object manipulation, and system control, along with design recommendations for each area.
COMP 4010: Lecture 4 - 3D User Interfaces for VR
- 1. LECTURE 4: 3D USER INTERFACES FOR VR COMP 4010 – Virtual Reality Semester 5 – 2017 Bruce Thomas, Mark Billinghurst University of South Australia August 16th 2017
- 2. Lecture 3: Recap • VR Input Devices • Body, Feet, Handheld, Gestures, Gaze • Separate device from Interaction Technique • VR Systems • Multiple components • Content, Software, User I/O modules • VR Simulation Loop • System delays cause sickness • Reduce system delay • Predictive tracking, faster components
- 3. Typical Virtual Reality System HMD Input Tracking User Interface
- 4. How can we Interact in VR? • How can VR devices create a natural user experience?
- 5. Background: Human-computer interaction • HCI studies communication • Users and computers communicate via the interface • Traditional UI design issues: • Input device • Interaction style • Feedback to the user • Gulf of execution / gulf of evaluation • All these are relevant for 3D/VR User Interfaces
- 6. Why 3D Interaction? • 3D / VR application should be useful • Support immersion • Use natural skills • Provide immediacy of visualization • But many current VR apps either • Support only simple interaction • Or, have serious usability problems • We need good 3D user interface guidelines
- 7. Some Definitions • 3D Interaction: • Human-computer interaction in which the user’s tasks are carried out in a 3D spatial context • 3D input devices, 2D input devices mapping into 3D • 3D user interface (3D UI): • A UI that involves 3D interaction • 3D interaction technique: • A method (hardware and software) allowing a user to accomplish a task in a 3D UI 7
- 8. Examples of 3D UIs – VR and non-VR 3D physical input, 3D virtual context 3D physical input, 2D virtual context 2D physical input, 3D virtual context
- 9. What makes 3D interaction difficult? • Spatial input • Lack of constraints • Lack of standards • Lack of tools • Lack of precision • Fatigue • Layout more complex • Perception
- 11. Moving from Menus to Natural Interaction 2D UI in 3D Natural 3D Interaction
- 12. Natural Interface Concept - WorldBuilder • https://www.youtube.com/watch?v=FheQe8rflWQ&t=43s
- 13. World Builder Today (Available on Steam) • https://www.youtube.com/watch?v=65u3W7wjXs0
- 14. Vision vs. Reality – Still Work to Do.. Natural interface Gesture, speech Wide field of view Full body input Limited input Wireless, limited range tracking Reduced field of view 2D GUI in VR
- 15. Universal 3D Interaction Tasks in VR • Object Interaction • Selection: Picking object(s) from a set • Manipulation: Modifying object properties • Navigation • Travel: motor component of viewpoint motion • Wayfinding: cognitive component; decision-making • System control • Issuing a command to change system state or mode
- 17. Selection and Manipulation • Selection: • specifying one or more objects from a set • Manipulation: • modifying object properties • position, orientation, scale, shape, color, texture, behavior, etc.
- 18. Goals of selection •Indicate action on object •Query object •Make object active •Travel to object location •Set up manipulation
- 19. Selection performance • Variables affecting user performance • Object distance from user • Object (visual) size • Density of objects in area • Occluders
- 20. Classification of Selection Techniques • asdf
- 21. 21 Selection classification Selection Feedback Object indication Indication to select graphical tactile audio object touching pointing indirect selection button gesture voice
- 22. Common Selection Techniques •Simple virtual hand •Ray-casting •Occlusion •Go-go (arm-extension)
- 23. Simple virtual hand technique • Process • One-to-one mapping between physical and virtual hands • Object can be selected by “touching” with virtual hand • “Natural” mapping • Limitation: • Only select objects in hand reach
- 24. Ray-casting technique • “Laser pointer” attached to virtual hand • First object intersected by ray may be selected • User only needs to control 2 DOFs • Proven to perform well for remote selection • Variants: • Cone casting • Snap-to-object rays
- 25. Example Ray Casting • https://www.youtube.com/watch?v=W1ZUBTPCL3E
- 26. Occlusion technique • Image-plane technique - truly 2D • Occlude/cover desired object with selector object (e.g. finger) • Nearest object along ray from eye through finger may be selected
- 27. Image Plane Interaction • Pierce, J., Forsberg, A., Conway, M., Hong, S., Zeleznik, R., & Mine, M. (1997). Image Plane Interaction Techniques in 3D Immersive Environments. Proceedings of the ACM Symposium on Interactive 3D Graphics, 39-44.
- 29. Go-Go Technique • Arm-extension technique • Non-linear mapping between physical and virtual hand position • Local and distant regions (linear < D, non-linear > D) Poupyrev, I., Billinghurst, M., Weghorst, S., & Ichikawa, T. (1996). The Go-Go Interaction Technique: Non-linear Mapping for Direct Manipulation in VR. Proceedings of the ACM Symposium on User Interface Software and Technology, 79-80.
- 30. Precise 3D selection techniques • Increase selection area • Cone-casting (Liang, 1993) • Snapping (de Haan, 2005) • 3D Bubble Cursor (Vanacken, 2007) • Sphere-casting (Kopper 2011) • Increase control/display ratio • PRISM (Frees, 2007) • ARM (Kopper, 2010) Not ideal for cluttered environments (high density, occlusion) May require careful interaction
- 32. Sphere-casting (SQUAD) • Two phases • Sphere-casting followed by QUAD-menu selection • Features • Multiple low precision selections • Scales well – at most log4n+1 refinement steps • Limitations • Quad-menu phase is done outside spatial context • Target needs to be unique or selectable among identical ones 32 Kopper, R., Bacim, F., & Bowman, D. A. (2011). Rapid and accurate 3D selection by progressive refinement. In 3D User Interfaces (3DUI), 2011 IEEE Symposium on (pp. 67-74). IEEE.
- 34. Goals of manipulation •Object placement • Design • Layout • Grouping •Tool usage •Travel
- 35. Classification of Manipulation Techniques • asdfa
- 36. Technique Classification by Components Manipulation Object Attachment Object Position Object Orientation Feedback attach to hand attach to gaze hand moves to object object moves to hand user/object scaling no control 1-to-N hand to object motion maintain body-hand relation other hand mappings indirect control no control 1-to-N hand to object rotation other hand mappings indirect control graphical force/tactile audio
- 37. Common Manipulation Techniques •Simple virtual hand •HOMER •Scaled-world grab •World-in-miniature
- 38. HOMER technique Hand-Centered Object Manipulation Extending Ray-Casting • Selection: ray-casting • Manipulate: directly with virtual hand • Include linear mapping to allow wider range of placement in depth Time Bowman, D., & Hodges, L. (1997). An Evaluation of Techniques for Grabbing and Manipulating Remote Objects in Immersive Virtual Environments. Proceedings of the ACM Symposium on Interactive 3D Graphics, 35-38.
- 40. Scaled-world Grab Technique • Often used w/ occlusion • At selection, scale user up (or world down) so that virtual hand is actually touching selected object • User doesn‘t notice a change in the image until he moves Mine, M., Brooks, F., & Sequin, C. (1997). Moving Objects in Space: Exploiting Proprioception in Virtual Environment Interaction. Proceedings of ACM SIGGRAPH, 19-26
- 41. World-in-miniature (WIM) technique • “Dollhouse” world held in user’s hand • Miniature objects can be manipulated directly • Moving miniature objects affects full-scale objects • Can also be used for navigation Stoakley, R., Conway, M., & Pausch, R. (1995). Virtual Reality on a WIM: Interactive Worlds in Miniature. Proceedings of CHI: Human Factors in Computing Systems, 265-272, and Pausch, R., Burnette, T., Brockway, D., & Weiblen, M. (1995). Navigation and Locomotion in Virtual Worlds via Flight into Hand-Held Miniatures. Proceedings of ACM SIGGRAPH, 399-400.
- 42. Voodoo Doll Interaction • Manipulate miniature objects • Act on copy of objects • Actions duplicated on actual object • Supports action at a distance • Two handed technique • One hand sets stationary reference frame • Second hand manipulates object Pierce, J. S., Stearns, B. C., & Pausch, R. (1999). Voodoo dolls: seamless interaction at multiple scales in virtual environments. In Proceedings of the 1999 symposium on Interactive 3D graphics (pp. 141-145). ACM.
- 43. 43 Two-Handed Interaction • Symmetric vs. Asymmetric • Symmetric: both hands performing same actions • Asymmetric: both hands performing different actions • Dominant (D) vs. non-dominant (ND) hand • Guiard’s principles • ND hand provides frame of reference • ND hand used for coarse tasks, D hand for fine-grained tasks • Manipulation initiated by ND hand Guiard, Y., "Asymmetric Division of Labor in Human Skilled Bimanual Action: The Kinematic Chain as a Model," J. Motor Behavior, 19 (4), 1987, pp. 486-517.
- 44. Symmetric Bimanual Technique • iSith (Wyss 2006) • Using two 6 DOF controllers each ray casting • Intersection point of two rays determines interaction point Wyss, H. P., Blach, R., & Bues, M. (2006, March). iSith-Intersection-based spatial interaction for two hands. In 3D User Interfaces, 2006. 3DUI 2006. IEEE Symposium on (pp. 59-61). IEEE.
- 45. Asymmetric Bimanual Technique • Spindle + Wheel (Cho 2015) • Two 6 DOF handheld controls • One dominant, one ND • Movement one hand relative to other provides 7 DOF input Cho, I., & Wartell, Z. (2015). Evaluation of a bimanual simultaneous 7DOF interaction technique in virtual environments. In 3D User Interfaces, 2015 IEEE Symposium on (pp. 133-136). IEEE.
- 46. Demo: Spindle + Wheel 7 DOF Input • https://www.youtube.com/watch?v=nF4egFHyLYM
- 47. Design Guidelines for Manipulation • There is no single best manipulation technique • Map the interaction technique to the device • Reduce degrees of freedom when possible • Use techniques that can help to reduce clutching • Consider the use of grasp-sensitive object selection • Use pointing techniques for selection and grasping techniques for manipulation • Use existing techniques unless there is a large amount of benefit from designing a new application-specific method • Consider the trade-off between technique design and environmental design
- 48. NAVIGATION
- 49. Navigation • How we move from place to place within an environment • The combination of travel with wayfinding • Wayfinding: cognitive component of navigation • Travel: motor component of navigation • Travel without wayfinding: "exploring", "wandering”
- 50. Travel • The motor component of navigation • Movement between 2 locations, setting the position (and orientation) of the user’s viewpoint • The most basic and common VE interaction technique, used in almost any large-scale VE
- 51. Types of Travel • Exploration • No explicit goal for the movement • Search • Moving to specific target location • Naïve – target position not known • Primed – position of target known • Maneuvering • Short, precise movements changing viewpoint
- 52. Movement Process • Focusing on user control
- 53. Technique classification • Physical locomotion metaphors • treadmills, cycles, etc… • Steering metaphor • Route planning metaphor • Target specification metaphor • Manual manipulation metaphor • Scaling metaphor 53
- 55. Classification of Travel and Locomotion Virtual turning Real turning Virtual translation Desktop VEs Vehicle simulators CAVE wand Most HMD systems Walking in place Magic Carpet Real translation Stationary cycles Treadport Biport Wide-area tracking UNIPORT ODT Can classify locomotion devices in terms of real vs. virtual travel
- 56. Taxonomy of Travel Techniques • Focusing on sub-task of travel Bowman, D. A., Koller, D., & Hodges, L. F. (1997, March). Travel in immersive virtual environments: An evaluation of viewpoint motion control techniques. In Virtual Reality Annual International Symposium, 1997., IEEE 1997 (pp. 45-52). IEEE.
- 57. Gaze Directed Steering • Move in direction that you are looking • Very intuitive, natural navigation • Can be used on simple HMDs (e.g. Google Cardboard) • But: Can’t look in different direction while moving
- 58. Example: Gaze Directed Steering • https://www.youtube.com/watch?v=6iKxser1Wic
- 59. Pointing Technique • A “steering” technique • Use hand tracker instead of head tracker • Point in direction you want to go • Slightly more complex, than gaze-directed steering • Allows travel and gaze in different directions • good for relative motion, look one way, move another
- 60. Example: VIVE Thrust • https://www.youtube.com/watch?v=JRgCe_8q4vE
- 61. Grabbing the Air Technique • Use hand gestures to move yourself through the world • Metaphor of pulling a rope • Often a two-handed technique • May be implemented using Pinch Gloves Mapes, D., & Moshell, J. (1995). A Two-Handed Interface for Object Manipulation in Virtual Environments. Presence: Teleoperators and Virtual Environments, 4(4), 403-416.
- 62. Moving Your Own Body • Can move your own body • In World in Miniature, or map view • Grab avatar and move to desired point • Immediate teleportation to new position in VE Moving avatar in Map View Moving avatar in WIM view
- 63. Example: Navigation Using WIM • https://www.youtube.com/watch?v=VxGqIjMlTs8
- 64. Walking in Place • https://www.youtube.com/watch?v=J_yQfW1qYGI
- 65. Redirected Walking • Address problem of limited walking space • Warp VR graphics view of space • Create illusion of walking straight, while walking in circles Razzaque, S., Kohn, Z., & Whitton, M. C. (2001, September). Redirected walking. In Proceedings of EUROGRAPHICS (Vol. 9, pp. 105-106).
- 67. Redirected Walking with Walls • https://www.youtube.com/watch?v=u8pw81VbMUU
- 68. Guided Navigation Technique • Water skiing metaphor for VR movement • Good for moving in a fixed direction, while giving user some control
- 69. Example
- 70. Wayfinding • The means of • determining (and maintaining) awareness of where one is located (in space and time), • and ascertaining a path through the environment to the desired destination • Problem: 6DOF makes wayfinding hard • human beings have different abilities to orient themselves in an environment, extra freedom can disorient people easily • Purposes of wayfinding tasks in virtual environments • Transferring spatial knowledge to the real world • Navigation through complex environments in support of other tasks
- 71. Wayfinding – Making Cognitive Maps • Goal of Wayfinding is to build Mental Model (Cognitive Map) • Types of spatial knowledge in a mental model • landmark knowledge • procedural knowledge (sequence of actions required to follow a path) • map-like (topological) knowledge • Creating a mental model • systematic study of a map • exploration of the real space • exploration of a copy of the real space • Problem: Sometimes perceptual judgments are incorrect within a virtual environment • e.g. users wearing a HMD often underestimate dimensions of space, possibly caused by limited field of view
- 72. Wayfinding as a Decision Making Process
- 73. Designing VE to Support Wayfinding • Provide Landmarks • Any obvious, distinct and non-mobile object can serve as a landmark • A good landmark can be seen from several locations (e.g. tall) • Audio beacons can also serve as landmarks • Use Maps • Copy real world maps • Ego-centric vs. Exocentric map cues • World in Miniature • Map based navigation
- 74. Wayfinding Aids • Path following • Easy method of wayfinding • Multiple paths through a single space may be denoted by colors • For example, hospitals that use colored lines to indicate how to get to certain locations. • Bread crumbs (leaving a trail) • leaving a trail of markers - like Hänsel and Gretel • allows participant to know when they've been somewhere before • having too many markers can make the space be overly cluttered • Compass • may also be other form of direction indicator (e.g. artificial horizon) • may specify directions in 2D space or 3D space
- 75. Examples
- 76. Design Guidelines for Navigation • Match the travel technique to the application • Use an appropriate combination of travel technique, display devices, and input devices • The most common travel tasks should require a minimum of effort from the user • Use physical locomotion technique if user exertion or naturalism is required • Use target-based techniques for goal-oriented travel and steering techniques for exploration and search • Provide multiple travel techniques to support different travel tasks in the same application • Choose travel techniques that can be easily integrated with other interaction techniques in the application
- 77. SYSTEM CONTROL
- 78. System Control • Issuing a command to change system state or mode • Examples • Launching application • Changing system settings • Opening a file • Etc. • Key points • Make commands visible to user • Support easy selection
- 80. Example: GearVR Interface • 2D Interface in 3D Environment • Head pointing and click to select
- 81. TULIP Menu • Menu items attached to virtual finger tips • Ideal for pinch glove interaction • Use one finger to select menu option from another Bowman, D. A., & Wingrave, C. A. (2001, March). Design and evaluation of menu systems for immersive virtual environments. In Virtual Reality, 2001. Proceedings. IEEE (pp. 149-156). IEEE.
- 82. 2D Menus in VR • Many examples of 2D GUI and floating menus in VR Nested Pie Menu 2D Menu in VR CAVE
- 83. Example: Marking Menu in VR • https://www.youtube.com/watch?v=BTTBgZ94lAc
- 84. Tools • Use tools for system commands • Tangible user interfaces (real tools) • Virtual tools (3D objects) • Design issues • Support eyes-off use • Use of physical affordances • Base on familiar objects • Provide tactile feedback • Map real tool to virtual operation Tangible interface for CAVE
- 85. Voice Input • Implementation • Wide range of speech recognition engines available • E.g. Unity speech recognition plug-in, IBM VR speech sandbox • Factors to consider • Recognition rate, background noise, speaker dependent/independent • Design Issues • Voice interface invisible to user • no UI affordances, overview of functions available • Need to disambiguate system commands from user conversation • Use push to talk or keywords • Limited commands – use speech recognition • Complex application – use conversational/dialogue system
- 86. Example – IBM VR Speech Sandbox • https://www.youtube.com/watch?v=NoO2R3Pz5Go • Available from: http://ibm.biz/vr-speech-sandbox
- 87. Design Guidelines for System Control • Avoid mode errors • Design for discoverability • Consider using multimodal input • Use an appropriate spatial reference frame • Prevent unnecessary focus and context switching • Avoid disturbing the flow of action of an interaction task • Structure the functions in an application and guide the user • 3D is not always the best solution – consider hybrid interfaces
- 88. CONCLUSION
- 89. 89 Conclusions lUsability one of the most crucial issues facing VE applications lImplementation details critical to ensure usability lEase of coding not equal to ease of use lSimply adapting 2D interfaces is not sufficient
- 90. Conclusions • User interface key for good VR experience • Need 3D user interface techniques • Design for • Selection/Manipulation • Navigation • System control • Follow good design guidelines • Cannot just implement 2D techniques in VR
- 91. Resources • Excellent book • 3D User Interfaces: Theory and Practice • Doug Bowman, Ernst Kruijff, Joseph, LaViola, Ivan Poupyrev • Great Website • http://www.uxofvr.com/ • 3D UI research at Virginia Tech. • research.cs.vt.edu/3di/
- 92. UX of VR Website - www.uxofvr.com • Many examples of great interaction techniques • Videos, books, articles, slides, code, etc..
- 93. Acknowledgments – Content From • Doug Bowman, Virginia Tech • Joe LaViola, University of Central Florida • Ernst Kruijff, Graz Univ. of Technology • Ivan Poupyrev, Google Doug Bowman