Literature DB >> 25490980

Combining user logging with eye tracking for interactive and dynamic applications.

Kristien Ooms1, Arzu Coltekin2, Philippe De Maeyer3, Lien Dupont3, Sara Fabrikant2, Annelies Incoul3, Matthias Kuhn2, Hendrik Slabbinck4, Pieter Vansteenkiste5, Lise Van der Haegen6.   

Abstract

User evaluations of interactive and dynamic applications face various challenges related to the active nature of these displays. For example, users can often zoom and pan on digital products, and these interactions cause changes in the extent and/or level of detail of the stimulus. Therefore, in eye tracking studies, when a user's gaze is at a particular screen position (gaze position) over a period of time, the information contained in this particular position may have changed. Such digital activities are commonplace in modern life, yet it has been difficult to automatically compare the changing information at the viewed position, especially across many participants. Existing solutions typically involve tedious and time-consuming manual work. In this article, we propose a methodology that can overcome this problem. By combining eye tracking with user logging (mouse and keyboard actions) with cartographic products, we are able to accurately reference screen coordinates to geographic coordinates. This referencing approach allows researchers to know which geographic object (location or attribute) corresponds to the gaze coordinates at all times. We tested the proposed approach through two case studies, and discuss the advantages and disadvantages of the applied methodology. Furthermore, the applicability of the proposed approach is discussed with respect to other fields of research that use eye tracking-namely, marketing, sports and movement sciences, and experimental psychology. From these case studies and discussions, we conclude that combining eye tracking and user-logging data is an essential step forward in efficiently studying user behavior with interactive and static stimuli in multiple research fields.

Entities:  

Keywords:  Eye tracking; Georeferencing; Interactivity

Mesh:

Year:  2015        PMID: 25490980     DOI: 10.3758/s13428-014-0542-3

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  5 in total

1.  Eye-tracking for assessing medical image interpretation: A pilot feasibility study comparing novice vs expert cardiologists.

Authors:  Tad T Brunyé; Brahmajee K Nallamothu; Joann G Elmore
Journal:  Perspect Med Educ       Date:  2019-04

2.  Eye-tracking Analysis of Interactive 3D Geovisualization.

Authors:  Lukas Herman; Stanislav Popelka; Vendula Hejlova
Journal:  J Eye Mov Res       Date:  2017-05-31       Impact factor: 0.957

3.  The Recreational Trail of the El Caminito del Rey Natural Tourist Attraction, Spain: Determination of Hikers' Flow.

Authors:  Gemma María Gea-García; Carmelo Fernández-Vicente; Francisco J Barón-López; Jesús Miranda-Páez
Journal:  Int J Environ Res Public Health       Date:  2021-02-12       Impact factor: 3.390

4.  Digital sketch maps and eye tracking statistics as instruments to obtain insights into spatial cognition.

Authors:  Merve Keskin; Kristien Ooms; Ahmet Ozgur Dogru; Philippe De Maeyer
Journal:  J Eye Mov Res       Date:  2018-06-15       Impact factor: 0.957

5.  Automating Areas of Interest Analysis in Mobile Eye Tracking Experiments based on Machine Learning.

Authors:  Julian Wolf; Stephan Hess; David Bachmann; Quentin Lohmeyer; Mirko Meboldt
Journal:  J Eye Mov Res       Date:  2018-12-10       Impact factor: 0.957

  5 in total

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