boundary conditions for information visualization with
play

Boundary Conditions for Information Visualization with respect to - PowerPoint PPT Presentation

Technische Universitt Mnchen Boundary Conditions for Information Visualization with respect to the Users Gaze Marcus Tnnis, Gudrun Klinker {toennis,klinker}@in.tum.de Tnnis, Klinker - Boundary Conditions for Information


  1. Technische Universität München Boundary Conditions for Information Visualization with respect to the User’s Gaze Marcus Tönnis, Gudrun Klinker {toennis,klinker}@in.tum.de Tönnis, Klinker - Boundary Conditions for Information Visualization with respect to the User’s Gaze

  2. Fachgebiet Augmented Reality Technische Universität München Motivation • Information placed w.r.t. the user’s gaze – Is always near to the visual attention of the user – Bears the potential for fast information retrieval • No need to search for world- or screen-fixed location • Known position relative to line of sight • Application – Heart-rate monitoring during surgery – Automotive speed monitoring – Task description in complex and dense lists Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 2 Visualization with respect to the User’s Gaze

  3. Fachgebiet Augmented Reality Technische Universität München General Issue and Concept • Information directly at the user’s gaze – Constantly in foveal field of view – Constantly occludes the world • A rigid angular offset to line of sight – Impossible to capture – Prohibits information access • Approach: Information has angular offset w.r.t. line of sight – Look around freely – Capture information when necessary Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 3 Visualization with respect to the User’s Gaze

  4. Fachgebiet Augmented Reality Technische Universität München Issues under Investigation • Boundary conditions – Information placement – Alignment of information – Motion behavior of information • Information capture Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 4 Visualization with respect to the User’s Gaze

  5. Fachgebiet Augmented Reality Technische Universität München Information Placement • Offset direction – Direction might depend on application – Decision on direction left to application developer • Angular distance – Minimum • Outside foveal field of view • No peripheral fixation – Maximum • Noticeable at all • Not in peripheral field of view (no brightness changes perceived) • Comfortably reachable by a glance – Expert study settled 8 degree Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 5 Visualization with respect to the User’s Gaze

  6. Fachgebiet Augmented Reality Technische Universität München Alignment of Information • Alignment of direction – Two main frames of reference • World-mounted • Head-mounted Head-mounted World-mounted Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 6 Visualization with respect to the User’s Gaze

  7. Fachgebiet Augmented Reality Technische Universität München Alignment of Information • Alignment of direction Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 7 Visualization with respect to the User’s Gaze

  8. Fachgebiet Augmented Reality Technische Universität München Alignment of Information • Alignment of information content – Two main frames of reference • Head-mounted • World-mounted Head-mounted World-mounted Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 8 Visualization with respect to the User’s Gaze

  9. Fachgebiet Augmented Reality Technische Universität München Alignment of Information • Alignment of information content Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 9 Visualization with respect to the User’s Gaze

  10. Fachgebiet Augmented Reality Technische Universität München Motion Behavior of Information • Relative positioning of information • Three alternatives / variants – Rigid offset – Velocity-based floating • Gaze may not surpass information • Gaze may surpass information Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 10 Visualization with respect to the User’s Gaze

  11. Fachgebiet Augmented Reality Technische Universität München Information Capture • Rigid offset – Information constantly 8 degree off – Capture by analysis of eye motion history – Three states required for capture 1. Gaze must not have moved for at least 50 ms 2. Saccade must have been performed within 50 ms 3. Target location must have been fixated for 200 ms and lie within 2.8 degrees around location of information Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 11 Visualization with respect to the User’s Gaze

  12. Fachgebiet Augmented Reality Technische Universität München Information Capture • Velocity-based floating – Average angular speed towards and away information is calculated over last 80 ms – Delta angle is derived from speed and rendering rate – General push-back mechanism • If angular speed below 50 degree per seconds • Push back at 5 degree per second – Capture • Collision of gaze with information for 100 ms • Common fixation time – Non-overexceeding variant: Gaze pushes information along – Overexceeding variant: Gaze can surpass information (floats back through line of sight) Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 12 Visualization with respect to the User’s Gaze

  13. Fachgebiet Augmented Reality Technische Universität München Information Capture • Velocity-based floating Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 13 Visualization with respect to the User’s Gaze

  14. Fachgebiet Augmented Reality Technische Universität München User Study • 12 volunteers (mean age 29.8, SD 4.5) • Procedure (1. part) – Calibration to individual user – Guided interview with questionnaire Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 14 Visualization with respect to the User’s Gaze

  15. Fachgebiet Augmented Reality Technische Universität München User Study • Procedure (2. part) – Performance tests (for all 3 variants) 1. Start-Goal gazing – Assessment of accidental captures 1. Look at start 2. Look at goal 2. Start-Capture – Assessment of time and number of glances to capture information 1. Look at start 2. Capture information Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 15 Visualization with respect to the User’s Gaze

  16. Fachgebiet Augmented Reality Technische Universität München Results – Guided Interview, … • Frames of reference – 91.7 % for world-related directional offset – 75 % for world-related information alignment • Visible floating – 91.7 % for no floating of information – If floating, 75 % for no overexceeding of information Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 16 Visualization with respect to the User’s Gaze

  17. Fachgebiet Augmented Reality Technische Universität München Results – Objective Measurements • Start-Goal gazing (assessment of accidental captures) – No significant results Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 17 Visualization with respect to the User’s Gaze

  18. Fachgebiet Augmented Reality Technische Universität München Results – Objective Measurements • Mean number of saccades to information capture Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 18 Visualization with respect to the User’s Gaze

  19. Fachgebiet Augmented Reality Technische Universität München Results – Objective Measurements • Number of captures with a single saccade Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 19 Visualization with respect to the User’s Gaze

  20. Fachgebiet Augmented Reality Technische Universität München Results – Objective Measurements • Time to information capture (ms) Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 20 Visualization with respect to the User’s Gaze

  21. Fachgebiet Augmented Reality Technische Universität München Results – Objective Measurements • Time to information capture with single saccade Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 21 Visualization with respect to the User’s Gaze

  22. Fachgebiet Augmented Reality Technische Universität München Discussion • Vast majority in favor for motion history algorithm (rigid offset) • Yet no complete implementation of algorithm, however already – 54.8 % capture rate with a single glance – 583ms average capture time • Observation – Comparably slow gaze turn when requested to ,,quickly`` look at information – Transporting the concept in spoken words is not an easy task Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 22 Visualization with respect to the User’s Gaze

  23. Fachgebiet Augmented Reality Technische Universität München Conclusion • Placing information with respect to the line of sight – New means for information visualization and interaction – Bears the potential to keep resuming times for the main task short • Boundary conditions first – World frame of reference – Less animation is preferred • Future work – Ruggedize capture algorithms – Test • With specific application tasks • Against conventional strategies such as screen- and world-fixed information placement Tönnis, Klinker - Boundary Conditions for Information 14.03.2014 23 Visualization with respect to the User’s Gaze

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend