Prof. Dr. Didier Stricker
Dr. Alain Pagani
Dr. Gerd Reis
Eric Thil
Keonna Cunningham
Dr. Oliver Wasenmüller
Dr. Gabriele Bleser
Dr. Bruno Mirbach
Dr. Jason Raphael Rambach
Dr. Bertram Taetz
Dr. Muhammad Zeshan Afzal
Sk Aziz Ali
Mhd Rashed Al Koutayni
Murad Almadani
Alaa Alshubbak
Yuriy Anisimov
Jilliam Maria Diaz Barros
Ramy Battrawy
Hammad Butt
Mahdi Chamseddine
Steve Dias da Cruz
Fangwen Shu
Torben Fetzer
Ahmet Firintepe
Sophie Folawiyo
David Michael Fürst
Kamalveerkaur Garewal
Christiano Couto Gava
Leif Eric Goebel
Tewodros Amberbir Habtegebrial
Simon Häring
Khurram Hashmi
Jigyasa Singh Katrolia
Andreas Kölsch
Onorina Kovalenko
Stephan Krauß
Paul Lesur
Muhammad Jameel Nawaz Malik
Michael Lorenz
Markus Miezal
Mina Ameli
Nareg Minaskan Karabid
Mohammad Minouei
Pramod Murthy
Mathias Musahl
Peter Neigel
Manthan Pancholi
Qinzhuan Qian
Engr. Kumail Raza
Dr. Nadia Robertini
María Alejandra Sánchez Marín
Dr. Kripasindhu Sarkar
Alexander Schäfer
Pascal Schneider
René Schuster
Mohamed Selim
Lukas Stefan Staecker
Dennis Stumpf
Yongzhi Su
Xiaoying Tan
Yaxu Xie
Dr. Vladislav Golyanik
Dr. Aditya Tewari
André Luiz Brandão
Guiding Attention in Information-rich Virtual Environments
Guiding Attention in Information-rich Virtual Environments
IASTED International Conference on Visualization, Imaging and Image Processing IASTED International Conference on Visualization Imaging and Image Processing (VIIP-08), Eighth, September 1-3, Palma de Mallorca, Spain
- Abstract:
- When presenting complex, multidimensional data to users, the emphasis of relevant information plays an important role. Especially when data is arranged according to sev eral criteria, the simultaneous use of multiple visualization metaphors frequently results in information overload and unintuitive visualizations. In this paper, we present results of an evaluation of preattentive visual features for high lighting relevance of data in an information-rich virtual en vironment. Representations of electronic documents with differing degrees of relevance were presented to users using different visual cues, which were evaluated with regard to their effectiveness, efficiency and comprehensibility. Also, they were tested in respect of their scalability to more doc uments, and effects of different screen sizes.