1 / 8

Change Detection in 3D Parametric Systems: Human-Centered Interfaces for Change Visualization

This study investigates the impact of change blindness on detecting alterations in 3D parametric design models. By examining three interface types—model visualization, periphery visualization, and a combined view—we aim to enhance change visualization features and improve human-computer interaction design. Results indicate that while no significant difference exists between the model and periphery visualizations, the combined visualization significantly aids in quicker and easier change detection. Addressing change blindness is crucial for preventing poor design outcomes in complex models.

nickan
Télécharger la présentation

Change Detection in 3D Parametric Systems: Human-Centered Interfaces for Change Visualization

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Change Detection in 3D Parametric Systems:Human-Centered Interfaces for Change Visualization DiliaraNasirova HalilErhan Andy Huang SIAT / SFU – 5 Minutes Madness – April, 2010

  2. What? • examine the influence of change blindness in change detection while working with 3D parametric design models Detecting Change Visualizations in 3d Parametric Systems

  3. Why? • Computational-technology over the human • Challenges to detect changes • Complex Models • Change Blindness • A blink • Eye saccade • Shift • Occlusion… Detecting Change Visualizations in 3d Parametric Systems

  4. So what? • Improve change visualization features • Improve HCI design • Prevent poor design outcomes http://i229.photobucket.com/albums/ee174/ASP1001/river_tharwa_bridge2.jpg Detecting Change Visualizations in 3d Parametric Systems

  5. Experiment Design • study comparing three interfaces: • on model visualization, • on periphery visualization • combined views. Detecting Change Visualizations in 3d Parametric Systems

  6. Experiment Design Detecting Change Visualizations in 3d Parametric Systems

  7. Experiment Design Detecting Change Visualizations in 3d Parametric Systems

  8. Results • no significant difference between visualizations located on model and on periphery. • combined visualization makes it significantly easier and faster for detecting changes. • change blindness makes change detection highly challenging, slow and confusing. Detecting Change Visualizations in 3d Parametric Systems

More Related