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Query: sabol_v* Results: 7 Sorted by: Date  Comments?
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[1] Rank As You Go: User-Driven Exploration of Search Results Intelligent Visualizations / di Sciascio, Cecilia / Sabol, Vedran / Veas, Eduardo E. Proceedings of the 2016 International Conference on Intelligent User Interfaces 2016-03-07 v.1 p.118-129
ACM Digital Library Link
Summary: Whenever users engage in gathering and organizing new information, searching and browsing activities emerge at the core of the exploration process. As the process unfolds and new knowledge is acquired, interest drifts occur inevitably and need to be accounted for. Despite the advances in retrieval and recommender algorithms, real-world interfaces have remained largely unchanged: results are delivered in a relevance-ranked list. However, it quickly becomes cumbersome to reorganize resources along new interests, as any new search brings new results. We introduce uRank and investigate interactive methods for understanding, refining and reorganizing documents on-the-fly as information needs evolve. uRank includes views summarizing the contents of a recommendation set and interactive methods conveying the role of users' interests through a recommendation ranking. A formal evaluation showed that gathering items relevant to a particular topic of interest with uRank incurs in lower cognitive load compared to a traditional ranked list. A second study consisting in an ecological validation reports on usage patterns and usability of the various interaction techniques within a free, more natural setting.

[2] Reading Through Graphics: Interactive Landscapes to Explore Dynamic Topic Spaces Information Visualisation / Ulbrich, Eva / Veas, Eduardo / Singh, Santokh / Sabol, Vedran HIMI 2015: 17th International Conference on Human Interface and the Management of Information, Symposium on Human Interface, Part I: Information and Knowledge Design 2015-08-02 v.1 p.127-137
Keywords: Text visualisation; Dynamic information landscape; Interaction design; User study
Link to Digital Content at Springer
Summary: An information landscape is commonly used to represent relatedness in large, high-dimensional datasets, such as text document collections. In this paper we present interactive metaphors, inspired in map reading and visual transitions, that enhance the landscape representation for the analysis of topical changes in dynamic text repositories. The goal of interactive visualizations is to elicit insight, to allow users to visually formulate hypotheses about the underlying data and to prove them. We present a user study that investigates how users can elicit information about topics in a large document set. Our study concentrated on building and testing hypotheses using the map reading metaphors. The results show that people indeed relate topics in the document set from spatial relationships shown in the landscape, and capture the changes to topics aided by map reading metaphors.

[3] Towards a Recommender Engine for Personalized Visualizations Long Presentations / Mutlu, Belgin / Veas, Eduardo / Trattner, Christoph / Sabol, Vedran Proceedings of the 2015 Conference on User Modeling, Adaptation and Personalization 2015-06-29 p.169-182
Keywords: Personalized visualizations; Visualization recommender; Recommender systems; Collaborative filtering; Crowd-sourcing
Link to Digital Content at Springer
Summary: Visualizations have a distinctive advantage when dealing with the information overload problem: since they are grounded in basic visual cognition, many people understand them. However, creating them requires specific expertise of the domain and underlying data to determine the right representation. Although there are rules that help generate them, the results are too broad to account for varying user preferences. To tackle this issue, we propose a novel recommender system that suggests visualizations based on (i) a set of visual cognition rules and (ii) user preferences collected in Amazon-Mechanical Turk. The main contribution of this paper is the introduction and the evaluation of a novel approach called VizRec that can suggest an optimal list of top-n visualizations for heterogeneous data sources in a personalized manner.

[4] VizRec: A Two-Stage Recommender System for Personalized Visualizations Poster & Demo Session / Mutlu, Belgin / Veas, Eduardo / Trattner, Christoph / Sabol, Vedran Companion Proceedings of the 2015 International Conference on Intelligent User Interfaces 2015-03-29 v.2 p.49-52
ACM Digital Library Link
Summary: Identifying and using the information from distributed and heterogeneous information sources is a challenging task in many application fields. Even with services that offer well-defined structured content, such as digital libraries, it becomes increasingly difficult for a user to find the desired information. To cope with an overloaded information space, we propose a novel approach -- VizRec -- combining recommender systems (RS) and visualizations. VizRec suggests personalized visual representations for recommended data. One important aspect of our contribution and a prerequisite for VizRec are user preferences that build a personalization model. We present a crowd based evaluation and show how such a model of preferences can be elicited.

[5] EDITED BOOK Knowledge Visualization Currents: From Text to Art to Culture / Marchese, Francis T. / Banissi, Ebad 2013 n.11 p.220 Springer London
DOI: 10.1007/978-1-4471-4303-1
ISBN: 978-1-4471-4302-4 (print), 978-1-4471-4303-1 (online)
Link to Digital Content at Springer
== Knowledge Visualization Background ==
What Is an Effective Knowledge Visualization? Insights from a Review of Seminal Concepts (3-12)
	+ Eppler, Martin J.
What Is Knowledge Visualization? Eight Reflections on an Evolving Discipline (13-32)
	+ Bertschi, Stefan
	+ Bresciani, Sabrina
	+ Crawford, Tom
	+ Goebel, Randy
	+ Kienreich, Wolfgang
	+ Lindner, Martin
	+ Sabol, Vedran
	+ Moere, Andrew Vande
== Text ==
Tables and Early Information Visualization (35-61)
	+ Marchese, Francis T.
Contract Clarity and Usability through Visualization (63-84)
	+ Haapio, Helena
From Culture to Text to Interactive Visualization ofWine Reviews (85-110)
	+ Kerren, Andreas
	+ Kyusakova, Mimi
	+ Paradis, Carita
== Art ==
Colorscore: Visualization and Condensation of Structure of Classical Music (113-128)
	+ Hayashi, Aki
	+ Itoh, Takayuki
	+ Matsubara, Masaki
The Implications of David Hockney Thesis for 3D Computer Graphics (129-145)
	+ Wyeld, Theodor
Practice of Using Virtual Reconstruction in the Restoration of Monumental Painting of the Church of the Transfiguration of Our Saviour on Nereditsa Hill (147-164)
	+ Laska, Tatiana
	+ Tsimbal, Irina
	+ Golubkov, Sergey
	+ Petrova, Yulia Anatolievna
== Culture ==
Mediation of Knowledge Construction of Historic Sites: Embodied Interaction + Space (167-177)
	+ Deray, Kristine
	+ Day, Michael
Memory, Difference, and Information: Generative Architectures Latent to Material and Perceptual Plasticity (179-197)
	+ Lucia, Andrew P.
	+ Sabin, Jenny E.
	+ Jones, Peter Lloyd
Cultural Data Sculpting: Omnidirectional Visualization for Cultural Datasets (199-220)
	+ Kenderdine, Sarah
	+ Shaw, Jeffrey
	+ Gremmler, Tobias

[6] Incremental computation of information landscapes for dynamic web interfaces Artigos resumidos / Sabol, Vedran / Syed, Kamran Ali Ahmad / Scharl, Arno / Muhr, Markus / Hubmann-Haidvogel, Alexander Proceedings of the 2010 Brazilian Symposium on Human Factors in Computing Systems 2010-10-05 p.205-208
ACM Digital Library Citation
Summary: This paper presents a technique for the visual analysis of topical shifts in dynamically changing textual archives. Our approach is based on the well-known information landscape metaphor, whereby topical changes are represented by changes in landscape topography. Incremental clustering and multi-dimensional scaling algorithms are periodically applied to a changing document set for generating a series of information landscapes. The resulting landscapes are suitable for dynamic Web interfaces, enabling the user to explore topical relationships and understand topical shifts and trends in changing document repositories.

[7] InfoSky: Visual Exploration of Large Hierarchical Document Repositories Human-centred computing : cognitive, social and ergonomic aspects / Kappe, F. / Droschl, G. / Kienreich, W. / Sabol, V. / Becker, J. / Andrews, K. / Granitzer, M. / Tochtermann, K. / Auer, P. Proceedings of the Tenth International Conference on Human-Computer Interaction 2003-06-22 v.3 p.1268-1272