Comparing Different Layouts of Tag Clouds: Findings on Visual Perception - Archive ouverte HAL Access content directly
Conference Papers Year : 2011

Comparing Different Layouts of Tag Clouds: Findings on Visual Perception

(1) , (1) , (2, 1)
1
2

Abstract

With the emergence of social tagging systems and the possibility for users to extensively annotate web resources and any content enormous amounts of unordered information and user generated metadata circulate the Web. Accordingly a viable visualisation form needs to integrate this unclassified content into meaningful visual representations. We argue that tag clouds can make the grade. We assume that the application of clustering techniques for arranging tags can be a useful method to generate meaningful units within a tag cloud. We think that clustered tag clouds can potentially help to enhance user performance. In this paper we present a description of tag clouds including a theoretical discourse on the strengths and weaknesses of using them in common Web-based contexts. Further recent methods of semantic clustering for visualizing tag clouds are reviewed. Findings from user studies that investigated the visual perception of differently arranged depictions of tags follow. The main objective consists in the exploration of characteristical aspects in perceptual phenomenons and cognitive processes during the interaction with a tag cloud. This clears the way for useful implications on the constitution and design factors of that visualisation form. Finally a new approach is proposed in order to further develop on this concept.
Fichier principal
Vignette du fichier
978-3-642-19641-6_3_Chapter.pdf (1.77 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01572652 , version 1 (08-08-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Stephanie Deutsch, Johann Schrammel, Manfred Tscheligi. Comparing Different Layouts of Tag Clouds: Findings on Visual Perception. 2nd Human-Computer Interaction and Visualization (HCIV) (INTERACT), Aug 2009, Uppsala, Sweden. pp.23-37, ⟨10.1007/978-3-642-19641-6_3⟩. ⟨hal-01572652⟩
45 View
72 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More