Comparing Time Series Similarity Perception under Different Color Interpolations

Anna Gogolou 1, 2 Theophanis Tsandilas 3, 2 Themis Palpanas 4 Anastasia Bezerianos 1, 2
1 ILDA - Interacting with Large Data
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
2 HCC - LRI - Human-Centered Computing (LRI)
LRI - Laboratoire de Recherche en Informatique
3 EX-SITU - Extreme Interaction
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : In previous work [1] we compared three time series visualization techniques (colorfields, horizon graphs, and line charts) in small multiples [2], in order to determine if the time series results returned from automatic similarity measures are perceived in a similar manner, irrespective of the visualization technique. Our results indicated that the notion of similarity is visualization dependent. In that first study, our colorfields implementation used a naive RGB color interpolation between red and blue hues. In this research report we describe a follow-up experiment, comparing this simple RGB interpolation to one that is perceptually uniform (CIE L*a*b*), in order to understand if the choice of color interpolation plays a role in the perception of similarity.
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Rapport
[Research Report] RR-9189, Inria. 2018
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Anna Gogolou, Theophanis Tsandilas, Themis Palpanas, Anastasia Bezerianos. Comparing Time Series Similarity Perception under Different Color Interpolations. [Research Report] RR-9189, Inria. 2018. 〈hal-01844994v2〉

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