Commercial websites offer many items to potential site users. However, most current websites display results of a search
in text lists, or as lists sorted on one or two single criteria. Finding the best item in a text list based on multi-priority
criteria is an exhausting task, especially for long lists. Visualizing search results and enabling users to perceive the
tradeoffs among the results based on multiple priorities may ease this process. To investigate this, two different
techniques for displaying and sorting search results are studied in this paper; Text, and XY Iconic Visualization. The
goal is to determine which technique for representing search results would be the most efficient one for a website user.
We conducted a user study to compare the usability of the two techniques. Collected data is in the form of participants'
task responses, a satisfaction questionnaire, qualitative observations, and participants' comments. According to the
results, iconic visualization is better for overview (it gives a good overview in a short amount of time) and search with
more than two criteria, while text-based performs better for displaying details.
In this paper we introduce Musician Map, a web-based interactive tool for visualizing relationships among popular musicians who have released recordings since 1950. Musician Map accepts search terms from the user, and in turn uses these terms to retrieve data from <i>MusicBrainz.org</i> and <i>AudioScrobbler.net</i>, and visualizes the results. Musician Map visualizes relationships of various kinds between music groups and individual musicians, such as band membership, musical collaborations, and linkage to other artists that are generally regarded as being similar in musical style. These
relationships are plotted between artists using a new timeline-based visualization where a node in a traditional node-link diagram has been transformed into a Timeline-Node, which allows the visualization of an evolving entity over time, such as the membership in a band. This allows the user to pursue social trend queries such as "Do Hip-Hop artists collaborate differently than Rock artists".