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  • Labels and map background

Labels and map background

Authors: Brychtova

  • Scan Path_37_new_jersey_14_20

  • Scan Path_04_arizona_8_60

  • AOI Editor

  • Gridded AOIs_43_wyoming_11_20

Author:

Alžběta Brychtová

Contact: 

alzbeta.brychtova@gmail.com

Type of research:

PhD research

Type of stimuli:

Static images

Date: 

01/2012 

 

The primary goal of this study is to empirically analyse the influence of colour distance and font size on map readability. 


Methods

Procedure

We systematically evaluated 5 sequential and 5 qualitative colour schemes in a two-stage user experiment. At first, we conducted an online study to obtain data of large variety of heterogeneous population. Following this, in a controlled lab study with eye-tracking, we re-examined the findings from the online study for a subset of experimental stimuli and further assessed the user experience through an analysis of their visual behaviour.

In a within-subject manner, participants were asked to find an administrative unit by its name and mark it with a mouse click within a given time limit.

Each trial contained a text stimulus with the task description, a fixation cross and a map. We presented the task description for 30 seconds, the fixation cross for 0.5 seconds, and the map stimulus for 30 seconds.

Independent variables

The general hypothesis of the study is that increasing colour distance between map labels and background and increasing font size will have a positive impact on the readability, i.e. map users will have less trouble while searching for and reading the labels. To test this hypothesis, we studied two independent variables: colour distance and font size.

Five levels of colour distance  (CIEDE2000  ΔE00= 30, 50, 70, 85 and 100) and three levels of font size (8, 11 and 14 pt.) were examined.

Stimuli

Stimuli include names of administrative units of 5 different states of USA (Arizona, Nevada, Maine, New Jersey and Wyoming). The shapes of the states as well as number of labels (administrative units) on stimuli varied (Arizona 15, Nevada 17, Maine 18, New Jersey 21, and Wyoming 24).

A total of 15 maps were prepared. Each stimulus is characterized by the concrete value of colour distance between labels and the background colour. 

Bez názvu

04_arizona_8_60 07_arizona_11_40 10_arizona_14_100

13_maine_8_80 16_maine_11_60 19_maine_14_40

22_nevada_8_20 25_nevada_11_80 28_nevada_14_60

31_new_jersey_8_40 34_new_jersey_11_100 37_new_jersey_14_20

40_wyoming_8_100 43_wyoming_11_20 46_wyoming_14_80

 Participants

53 volunteers took part in the experiment and they were offered no compensation. The participant age ranged between 20–25 years. All of them were students of Palacký University. 30 out of 50 participants (~60%) took at least one cartography course (‘experts’), 20 out of 50 participants (~40%) have no previous cartography experience (‘novices’). 28 of them were males and 22 were females. None of participants reported any colour vision deficiency.

Apparatus

For the eye-tracking study the remote eye-tracking device SMI RED 250, developed by SensoMotoric Instruments, was used. 


 Analyses

We used eye-tracking to determine the efficiency and strategy of stimulus reading. Our dependent variables were accuracy, speed, and a selected set of eye movement metrics, namely fixation frequency, fixation duration and scanpath speed, to interpret users’ strategies, as well as an area of interest (AOI) analysis.

Bez názvu


Conclusion

All participants were successful in locating the searched items in all conditions within the time limits (i.e. accuracy was 100%). Analysing the time to answer for the five colour distances empirically validates what is common sense; the relative differences in time to answer become statistically significant as the colour distances grow larger (30-85, and 30-100). More precisely, observed median value of time to answer on the stimuli with ΔE00=30 was Mdn=4.5 s. Median time on ΔE00=85 was Mdn=3.5 s and on ΔE00=100 was Mdn=3.6 s. 

The comparison of the font size based on scanpath speed metrics suggests that the medium font size (11 pt) is the most efficient.


Outputs

Brychtova, A. and Coltekin, A. (2014). An Empirical User Study for Measuring the Influence of Colour Distance and Font Size in Map Reading Using Eye Tracking. The Cartographic Journal, 0(0), pp. 1743277414Y.000. doi:10.1179/1743277414Y.0000000103 


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