Towards a more effective method for analyzing mobile eye-tracking data

Brône, Geert; Oben, Bert; Goedemé, Toon

doi:10.1145/2029956.2029971

Cited by 47 publications

(29 citation statements)

References 8 publications

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“…However, this approach requires ROI to be defined a priori and any gaze dynamics recorded outside these areas still have to be annotated and processed manually. A potential solution for the processing and analysis of mobile eye-movement data is the use of automatic mapping of the video stream through object recognition algorithms (Brône et al, 2011). Even with these solutions to ROI definition, recording eye movements in a three-dimensional environment also requires accounting for depth, which has not been resolved yet by current mobile eye-tracking systems.…”

Section: Current Challengesmentioning

confidence: 99%

Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach

Ladouce

Donaldson

Dudchenko

et al. 2017

Front. Hum. Neurosci.

143

156

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There is a growing body of evidence that important aspects of human cognition have been marginalized, or overlooked, by traditional cognitive science. In particular, the use of laboratory-based experiments in which stimuli are artificial, and response options are fixed, inevitably results in findings that are less ecologically valid in relation to real-world behavior. In the present review we highlight the opportunities provided by a range of new mobile technologies that allow traditionally lab-bound measurements to now be collected during natural interactions with the world. We begin by outlining the theoretical support that mobile approaches receive from the development of embodied accounts of cognition, and we review the widening evidence that illustrates the importance of examining cognitive processes in their context. As we acknowledge, in practice, the development of mobile approaches brings with it fresh challenges, and will undoubtedly require innovation in paradigm design and analysis. If successful, however, the mobile cognition approach will offer novel insights in a range of areas, including understanding the cognitive processes underlying navigation through space and the role of attention during natural behavior. We argue that the development of real-world mobile cognition offers both increased ecological validity, and the opportunity to examine the interactions between perception, cognition and action—rather than examining each in isolation.

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Section: Current Challengesmentioning

confidence: 99%

Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach

Ladouce

Donaldson

Dudchenko

et al. 2017

Front. Hum. Neurosci.

143

156

View full text Add to dashboard Cite

show abstract

“…For example, Kiefer, Giannopoulos, and Raubal (2014) used mobile eye tracking to analyze pedestrian map usage in an urban context. A number of researchers have also pointed out the potential of integrating location information in the analysis of gaze behavior in real-world environments (Brône, Oben, & Goedemé, 2011;Kiefer et al, 2014;Müller-Feldmeth et al, 2014). More closely related to this article, Ohm, Müller, Ludwig, and Bienk (2014) found that in indoor environments, functional landmarks (i.e., doors and stairs) were more likely to be looked at and named in subsequent route descriptions than, for example, visually obtrusive landmarks (see Viaene et al, 2014, for similar findings).…”

Section: Mobile Eye Tracking In Spatial Cognition Researchmentioning

confidence: 99%

Gaze behavior during incidental and intentional navigation in an outdoor environment

Wenczel

Hepperle

Stülpnagel

2016

Spatial Cognition & Computation

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Previous research on landmark selection and route learning derived many of its conclusions from the analysis of memory tasks and verbal route descriptions. We examined the extent to which these findings are reflected in gaze behavior. Wearing a mobile eye tracking device, participants learned the first part of a real-world route incidentally and the second part intentionally. When compared with incidental learning, intentional learning led to a stronger focus on landmarks at structurally salient locations. In contrast, landmarks with a higher level of visual salience attracted generally more fixation time. This finding remained unaffected by learning intention. Our results support the validity of established theoretical frameworks about landmark selection and route learning by extending them to the level of gaze behavior. Additionally, they provide insight into subtle changes of properties determining a landmark's salience as a result of learning intention.

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“…Major challenges at the moment are rapid or extreme changes in the lighting conditions, fast movements of the head (and camera), partial occlusions and the speed of the detection algorithms when large sets of common objects are to be identified. Brône, Oben, van Beeck and Goedemé (2011) discussed these main issues and defined the starting-point of their "InSight Out" project, in which they also primarily aim at scientific studies, i.e. offline processing.…”

Section: Gaze Interaction In the Real Worldmentioning

confidence: 99%