Robert KosaraAssistant Professor
Personal Homepage:
http://eagereyes.orgCurrent place of employment:
University of North Carolina at Charlotte (UNCC)
I am an Assistant Professor at the Department of Computer Science, College of Information Technology, at the University of North Carolina at Charlotte (UNCC), where I am also a member of the Charlotte Visualization Center.
I received both my Ph.D. (2001) and M.S. degrees from Vienna University of Technology (Vienna, Austria). Before coming to Charlotte, I worked at the VRVis Research Center and the in-silico pharmaceutical research company Inte:Ligand.
My research is in Information Visualization (InfoVis) and Visual Analytics. The goal of these fields is to translate data into images that we can interact with and read to understand the underlying data.
Publications by Robert Kosara (bibliography)
Ziemkiewicz, Caroline and Kosara, Robert (2010): Implied dynamics in information visualization. In: Proceedings of the 2010 International Conference on Advanced Visual Interfaces 2010. pp. 215-222.
Information visualization is a powerful method for understanding and working with data. However, we still have an incomplete understanding of how people use visualization to think about information. We propose that people use visualization to support comprehension and reasoning by viewing abstract visual representations as physical scenes with a set of implied dynamics between objects. Inferences based on these implied dynamics are metaphorically extended to form inferences about the represented information. This view predicts that even seemingly meaningless properties of a visualization, including such minor design elements as borders, background areas, and the connectedness of parts, may affect how people perceive semantic aspects of data by suggesting different potential dynamics between data points. We present a study that supports this claim and discuss the design implications of this theory of information visualization.
© All rights reserved Ziemkiewicz and Kosara and/or their publisher
Kosara, Robert (2007): Visualization Criticism - The Missing Link Between Information Visualization and Art. In: IV 2007 - 11th International Conference on Information Visualisation 2-6 July, 2007, Zürich, Switzerland. pp. 631-636.
Bendix, Fabian, Kosara, Robert and Hauser, Helwig (2005): Parallel Sets: Visual Analysis of Categorical Data. In: InfoVis 2005 - IEEE Symposium on Information Visualization 23-25 October, 2005, Minneapolis, MN, USA. p. 18.
Kosara, Robert, Bendix, Fabian and Hauser, Helwig (2004): TimeHistograms for Large, Time-Dependent Data. In: Deussen, Oliver, Hansen, Charles D., Keim, Daniel A. and Saupe, Dietmar (eds.) VisSym 2004 - Symposium on Visualization May 19-21, 2004, Konstanz, Germany. pp. 45-54,340.
Schrammel, Johann, Giller, Verena, Tscheligi, Manfred, Kosara, Robert, Hauser, Helwig and Miksch, Silvia (2003): Experimental Evaluation of Semantic Depth of Field, a Preattentive Method for Focus+Context Visualization. In: Proceedings of IFIP INTERACT03: Human-Computer Interaction 2003, Zurich, Switzerland. p. 888.
Kosara, Robert, Miksch, Silvia and Hauser, Helwig (2001): Semantic Depth of Field. In: InfoVis 2001 2001. pp. 97-104.
Show this list on your homepage
Knowledge wants to be free !
We have decided to give away world-class educational materials
because we believe that universal access to high quality education is key to the building
of peace, sustainable social and economic development, and intercultural dialogue.
To calculate just have much we have saved you, our wonderful readers, we compare our free encyclopedia to two
books we love:
$110: Human-Computer Interaction by Dix et al (a great textbook but without video interviews)
$116: Shneiderman's Designing the User Interface
(a great textbook but without video interviews).
As you are reading our encyclopedia on your iPad/tablet (and saving a few trees), we estimate that the price would be $90 if sold as an eBook.
With that number, we can calculate how much money we have saved our readers, based on calculating the number of readers.
How we calculate readership
Because of our online and tablet/iPad approach to publishing, we are able to precisely measure reading behaviour across hundreds of parameters in realtime: Anything from reading
speed, drop-off points in the text, reader demographics, and much more.
Based on our server logs and the Google Analytics API,
we calculate the number of readers as described in the calculation method below.
A reader is not the same as a simple pageview and a reader is not the same as a
website visitor (as described in our calculation method below).
We calculate readership for two types of readers:
- Readers that have read our whole encyclopedia, much the same way you read a printed book
- Readers that have reader an individual chapter
Calcalution method: How we define a reader
- First we use the Google Analytics API to get a report of the number of unique human visitors to a chapter/page. Google runs its business on ads and thus completely relies on the ability to distinguish between a human visitor and an automated request. If not, you could earn millions on automating clicks on Google Ads.
- We then compare that number to our Apache webserver logs, which report the much higher number of actual visits to a chapter/page (both human and automated). We calculate the difference in percent, which we call an "exaggeration factor", which we use in step 6 below.
- With a large part of the visitors excluded, we further exclude any visitor who:
- has not remained on the page for at least 3 minutes (this factor is calculated by recording visit durations of 1000 randomly selected visitors) or has not printed the page (i.e. has not visited the printerfriendly version of the chapter/page)
- has not scrolled the page (this factor is calculated by recording scroll movements on 1000 randomly selected visitors)
- We then further exclude "double readers", i.e. readers who read a portion of a chapter and then returns in,
say, a week or a month to read the rest.
Although this person's reading activity spans multiple server sessions, the person is only counted as a single reader.
We categorize a "double reader" as a visitor who:
- visits a page, or multiple pages, across multiple server sessions
- qualifies to be defined as a reader, cf step 1-3 above, in all server sessions
- uses the same originating IP address
- We then subtract 5% from the final number to counter-balance a last remaining factor, namely the situation where one reader reads a chapter on his/her tablet
using a WiFi connection (and counted as one reader) but then picks up his other tablet using a 3G dongle
(with another IP address) and re-reads some of the chapter. That will equal two readers, not one. We have no way
of calculating how many times this situation arises, but to be on the safe side we subtract 5%
from the final number.
- We then take half of the "exaggeration factor" from step 2 and substract from the final number. We do this for no rational reason. We do it only as a further measure to be certain that our number of readers is not inflated.
- To qualify as a reader who has read our whole encyclopedia - much the same way you read a printed book - that person must have qualified as a reader (cf. 1-6 above) of at least 80% of the encyclopedia chapters.
As a result, we have eliminated everything from automated requests to the more casual visitors. That leaves us with what we can safely call readers.
Changes to this page (author)
26 Nov 2010: Added a picture of Robert Kosara26 Nov 2010: Page was edited26 Nov 2010: Author was edited
02 Nov 2010: Author was edited
23 Feb 2010: Enabled abstracts to be shown on Robert Kosara's author page.
20 Jul 2009: Author was edited
19 Jun 2009: Author was edited
19 Jun 2009: Author was edited
15 Jun 2009: Author was edited
24 Jul 2007: Author was added to the bibliography
Page Information
Page maintainer:
The Editorial TeamHow to cite/reference this page
URL: http://www.interaction-design.org/references/authors/robert_kosara.html