Evaluation of the Cartographical Quality of Urban Plans by Eye-Tracking

Burian, Jaroslav; Popelka, S; Beitlova, Marketa

doi:10.3390/ijgi7050192

Cited by 27 publications

(23 citation statements)

References 52 publications

(58 reference statements)

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“…For instance, when analyzing wayfinding strategies [35], expert participants in the sport of orienteering were selected. Whereas Ooms et al [5], when examining visual searching on dynamic and interactive maps, included employees from the Department of Geography, who held at least a master's degree in geography or geomatics, in the group of experts; hence they referred to their educational background and professional work (see also [7,12,19,[36][37][38]). In general, this type of expertise can be called 'top-down' expertise as it refers to the participants' previous related knowledge and experience that can be of use to them when solving testing tasks.…”

Section: Searching For Group Differences Among Map Usersmentioning

confidence: 99%

What Went Wrong for Bad Solvers during Thematic Map Analysis? Lessons Learned from an Eye-Tracking Study

Havelková

Gołębiowska

2019

IJGI

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Thematic map analysis is a complex and challenging task that might result in map user failure for many reasons. In the study reported here, we wanted to search for differences between successful and unsuccessful map users, focusing—unlike many similar studies—on strategies applied by users who give incorrect answers. In the eye-tracking study, followed by a questionnaire survey, we collected data from 39 participants. The eye-tracking data were analyzed both qualitatively and quantitatively to compare participants’ strategies from various perspectives. Unlike the results of some other studies, it turned out that unsuccessful participants show some similarities that are consistent across most analyzed tasks. The main issues that characterize bad solvers relate to improper use of the thematic legend, the inability to focus on relevant map layout elements, as well as on adequate map content. Moreover, they differed in the general problem-solving approach used as they, for example, tended to choose fast, less cautious, strategies. Based on the collected results, we developed tips that could help prevent unsuccessful participants ending with an incorrect answer and therefore be beneficial in map use education.

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Section: Searching For Group Differences Among Map Usersmentioning

confidence: 99%

What Went Wrong for Bad Solvers during Thematic Map Analysis? Lessons Learned from an Eye-Tracking Study

Havelková

Gołębiowska

2019

IJGI

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“…Schnűrer, Sieber, and Çöltekin [19] compared four variants of the GUI of an interactive map by analyzing the number and distribution of mouse clicks. A number of other user studies verified the usability of web map portals (i.e., [20][21][22][23][24][25]).…”

Section: User Evaluation Of Tools For Visual Analysismentioning

confidence: 91%

User Evaluation of Map-Based Visual Analytic Tools

Popelka

Heřman

Řezník

et al. 2019

IJGI

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Big data have also become a big challenge for cartographers, as the majority of big data may be localized. The use of visual analytics tools, as well as comprising interactive maps, stimulates inter-disciplinary actors to explore new ideas and decision-making methods. This paper deals with the evaluation of three map-based visual analytics tools by means of the eye-tracking method. The conceptual part of the paper begins with an analysis of the state-of-the-art and ends with the design of proof-of-concept experiments. The verification part consists of the design, composition, and realization of the conducted eye-tracking experiment, in which three map-based visual analytics tools were tested in terms of user-friendliness. A set of recommendations on GUI (graphical user interface) design and interactive functionality for map makers is formulated on the basis of the discovered errors and shortcomings in the assessed stimuli. The results of the verification were used as inputs for improving the three tested map-based visual analytics tools and might serve as a best practice for map-based visual analytics tools in general, as well as for improving the policy making cycle as elaborated by the European project PoliVisu (Policy Development based on Advanced Geospatial Data Analytics and Visualization).

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“…Thirty-four respondents participated in the eye-tracking experiment (14 males and 20 females, median age 23 years). These respondents were separated into two groups of users: novices (16) and experts (18). Students who had not studied Earth Sciences and other respondents without a more in-depth knowledge of meteorology, geoinformatics or cartography were included in the group of novices.…”

Section: Respondentsmentioning

confidence: 99%

“…The results of the work may be useful for further scientific research on weather web maps and related user issues.can be made is that a large number of web maps have a small map field and unnecessarily large web map controls or legends.Many modern studies use the eye-tracking technology. Eye-tracking is used for usability tests, evaluation of interactive map interfaces [16], evaluation of animated maps of traffic flows [17], analyses of maps and plans [18], analyses of 3D geovisualizations [19], analyses of dynamic stimuli [20][21][22][23][24], and in general to evaluate the process of map reading and map use [25]. User studies in cartography provide enormous opportunities for further development of maps [26].The research presented below focuses on the question of what problems users have with some of the most commonly used thematic maps on the Internet: weather web maps.…”

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confidence: 99%

Eye-tracking Evaluation of Weather Web Maps

Popelka

Vondráková

Hujnakova

2019

IJGI

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Weather is one of the things that interest almost everyone. Weather maps are therefore widely used and many users use them in everyday life. To identify the potential usability problems of weather web maps, the presented research was conducted. Five weather maps were selected for an eye-tracking experiment based on the results of an online questionnaire: DarkSky, In-Počasí, Windy, YR.no, and Wundermap. The experiment was conducted with 34 respondents and consisted of introductory, dynamic, and static sections. A qualitative and quantitative analysis of recorded data was performed together with a think-aloud protocol. The main part of the paper describes the results of the eye-tracking experiment and the implemented research, which identify the strengths and weaknesses of the evaluated weather web maps and point out the differences between strategies in using maps by the respondents. The results include findings such as the following: users worked with web maps in the simplest form and they did not look for hidden functions in the menu or attempt to find any advanced functionality; if expandable control panels were available, the respondents only looked at them after they had examined other elements; map interactivity was not an obstacle unless it contained too much information or options to choose from; searching was quicker in static menus that respondents did not have to switch on or off; the graphic design significantly influenced respondents and their work with the web maps. The results of the work may be useful for further scientific research on weather web maps and related user issues.

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Evaluation of the Cartographical Quality of Urban Plans by Eye-Tracking

Cited by 27 publications

References 52 publications

What Went Wrong for Bad Solvers during Thematic Map Analysis? Lessons Learned from an Eye-Tracking Study

What Went Wrong for Bad Solvers during Thematic Map Analysis? Lessons Learned from an Eye-Tracking Study

User Evaluation of Map-Based Visual Analytic Tools

Eye-tracking Evaluation of Weather Web Maps

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