Non–Occluding Intelligent Magnifiers for Sketching on Small Displays

Abstract

We present intelligent magnification techniques that combine distortion techniques with automatic content information awareness. They have been developed to support sketching on small displays. A first evaluation study that tested and compared three existing distortion lenses showed their general unsuitability for sketching. Based on these findings we developed and evaluated a new set of intelligent lenses, which use context information as the distortion regulator. The evaluation shows that using our new intelligent lenses leads to fewer errors, without time penalties, and with higher user satisfaction.

Contributors

Paul Schmieder

Beryl Plimmer

John Hosking

Conference

Publication date: September 2012

Publication date (Print): September 2012

Pages: 195-204

Affiliations

Department of Computer Science

University of Auckland

Private Bag 92019

Auckland, New Zealand

ANU College of Engineering and Computer

Science

Australian National University

Australian National University

Australia

Article

DOI: 10.14236/ewic/HCI2012.25

Copyright statement: © Paul Schmieder et al. Published by BCS Learning and Development Ltd. The 26th BCS Conference on Human Computer Interaction, Birmingham, UK

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: The 26th BCS Conference on Human Computer Interaction

Conference acronym: HCI

Conference number: 26

Conference location: Birmingham, UK

Conference date: 12 - 14 September 2012

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2012.25

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing