Mittagsseminar (in cooperation with J. Lengler, A. Steger, and D. Steurer)

Date and Time: Tuesday, April 17, 2007, 12:15 pm

Duration: This information is not available in the database

Location: OAT S15/S16/S17

Speaker: Eva Schuberth

Measuring the Perceived Quality of Visualization Algorithms using Conjoint Analysis

Traditionally algorithms are analyzed along performance directions like speed or memory consumption. In visualization and gamut mapping another direction, namely the perceived quality of the computed results is equally important. Nevertheless, a systematic analysis is often missing.

We made the observation that the perceived quality of parameterized visualization and gamut mapping algorithms can be measured in the framework of conjoint analysis, a preference measuring methodology that originated in psychology and now is widely used in market research. We developed our own conjoint analysis technique as an extension of Thurstone's law of comparative judgement and used it to analyze a parameterized visualization algorithm. In order to collect the preference data we conducted a large user study during the exhibition "Die Welt zwischen 0 und 1".

In this talk I will report on the new conjoint analysis technique and our findings regarding user preferences in visualization.

Joint work with Joachim Giesen (MPI Informatik), Klaus Mueller (Stony Brook University), Lujin Wang (Stony Brook University) and Peter Zolliker (EMPA).

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