Towards location-aware mobile eye tracking

Abstract

This paper considers the impact of location as context in mobile eye tracking studies that extend to large-scale spaces, such as pedestrian wayfinding studies. It shows how adding a subject's location to her gaze data enhances the possibilities for data visualization and analysis. Results from an explorative pilot study on mobile map usage with a pedestrian audio guide demonstrate that the combined recording and analysis of gaze and position can help to tackle research questions on human spatial problem solving in a novel way.

Where Am I? Investigating Map Matching During Self‐Localization With Mobile Eye Tracking in an Urban Environment

“…We have previously reported on an exploratory pilot wayfinding study with mobile eye tracking in Zurich (Kiefer et al. 2012a, b). First indications were found that gaze patterns on the map and in the environment differ between successful and unsuccessful participants in a wayfinding task.…”

A visual comparison of gaze behavior from pedestrians and cyclists

“…Therefore, researchers are now executing a growing number of experiments in real-world environments. Multiple eye tracking experiments exist that analyze pedestrians' [Brügger et al 2018;Davoudian and Raynham 2012;Fotios et al 2015a,b;Kiefer et al 2014Kiefer et al , 2012Wenczel et al 2017] or cyclists' behavior [Mantuano et al 2016;Schmidt and von Stülp-nagel 2018;Vansteenkiste et al 2014]. In contrast to existing works, we are presenting a visual analytics-based approach to explore patterns, extract common eye movement strategies, and enable a combined analysis of the multi-modal data.…”

“…Whereas researchers have analyzed the visual perception of car drivers in many eye tracking experiments [Kapitaniak et al 2015], there are only few experiments performed with pedestrians and cyclists. In recent years, researchers have published a growing number of eye tracking experiments analyzing pedestrians and cyclists (e. g., [Davoudian and Raynham 2012;Kiefer et al 2012;Mantuano et al 2016;Vansteenkiste et al 2014;Wenczel et al 2017]). In this paper, we apply a visual analyticsbased method to analyze gaze behavior of pedestrians and cyclists in a real-world eye tracking experiment.…”

Gaze map matching

“…From a hardware perspective, eye tracking is becoming increasingly mobile: head-mounted mobile eye trackers are used in research already today [14], and it is only a small step for eye tracking to be integrated into mobile consumer products, such as smartphones 2 or augmented reality glasses 3 .…”