1 / 3

Understanding Sketch-Based Interfaces: Insights from the AAAI Spring Symposium

Explore the latest research and applications in sketch understanding and recognition presented at the AAAI Spring Symposium. This workshop addresses key topics such as cognitive science related to how individuals use and extract information from sketches, the role of computer vision in sketch capture and recognition, and the integration of multi-modal inputs in Human-Computer Interaction (HCI). With contributions from experts across architecture, mechanical design, and GUI design, gain insight into innovative tools and techniques that enhance sketch-based communication and visualization.

cain
Télécharger la présentation

Understanding Sketch-Based Interfaces: Insights from the AAAI Spring Symposium

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. Applications Architectural design Mechanical design GUI design Animators Maps & geographical information Software engineering (UML) Note-taking Sketching devices Digitizing tablet (Wacom) PDA Tablet PC Board + ultrasonic emitters Phantom AAAI Spring Symposium: Sketch Understanding Workshop • Topics • Early stages • Applications • Recognition • Tools • Cognitive issues

  2. Current Research Issues • Cognitive Science – How do people use sketches • What do people extract from sketches • When to recognize precisely; when to be approximate • Computer Vision – Sketch capture • Better recognition, segmentation, focus of attention • Recognizing crisp sketches vs. messy sketches • AI – How to infer & represent the user’s intent • Representation, semantics, reasoning • HCI • Building a seamless interface, Combining multi-modal inputs • Creating, editing & communicating sketches • Software Architecture • Low level processing vs. domain-specific plug-ins • Common toolkits, Building an infrastructure

  3. Best Work • Ellen Do – Architecture; Univ. of Washington http://dmg.caup.washington.edu • Fonseca et al. – Trainable recognizer; Tech. U. of Lisbon http://immi.inesc-id.pt/cali/ • Randy Davis – Simulate a mechanical sketch; MIT • James Landay – GUI Design; UC Berkeley • Mahoney & Saund – Graph representation; PARC • Ken Forbus & Ron Ferguson – Maps; Northwestern • Barbara Tversky – Cognitive issues (maps); Stanford • Phil Cohen & Sharon Oviatt – QuickSet (maps); OGI http://www.cse.ogi.edu/CHCC/Personnel/pcohen.html

More Related