Map evaluation under COVID-19 restrictions : a new visual approach based on think aloud interviews

ORCID
0000-0002-1678-866X
Affiliation
Lab for Geoinformatics and Geovisualization (g2lab), HafenCity University Hamburg
Knura, Martin;
GND
1022555103
VIAF
180149294077080520280
ORCID
0000-0002-6717-0923
Affiliation
Lab for Geoinformatics and Geovisualization (g2lab), HafenCity University Hamburg
Schiewe, Jochen

With the beginning of the COVID-19 pandemic, the execution of eye-tracking user studies in indoor environments was no longer possible, and remote and contactless substitutes are needed. With this paper, we want to introduce an alternative method to eye tracking, completely feasible under COVID-19 restrictions. Our main technique are think aloud interviews, where participants constantly verbalize their thoughts as they move through a test. We record the screen and the mouse movements during the interviews, and analyse both the statements and the mouse positions afterwards. With this information, we can encode the approximate map position of the user’s attention for each second of the interview. This allows us to use the same visual methods as for eye-tracking studies, like attention maps or trajectory maps. We implement our method conducting a user study with 21 participants to identify user behaviour while solving high-level interpretation tasks, and with the results of this study, we can show that or new method provides a useful substitute for eye-tracking user studies.

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