Tobii EyeTracking's Library tagged quality →  View Popular, Search in Google

ABSTRACT
In order to improve human-computer interaction, eyetracking, physiological measures and task recognition are used to assess the content and quality of interaction in an ecommerce application with User Generated Content. Results are analyzed in conjunction with users’ verbalization and their subjective assessment of attitudes
toward the product and their wish to contribute.

2010 Canada HCI Usability Tobii eye tracking X120 content quality interaction e-commerce application user generated content

in list: HCI & Usability

ABSTRACT
We investigate how people interact with Web search engine result pages using eye-tracking. While previous research has focused on the visual attention devoted to the 10 organic search results, this paper examines other components of contemporary search engines, such as ads and related searches. We systematically varied the type of task (informational or navigational), the quality of the ads (relevant or irrelevant to the query), and the sequence in which ads of different quality were presented. We measured the effects of these variables on the distribution of visual attention and on task performance. Our results show significant effects of each variable. The amount of visual attention that people devote to organic results depends on both task type and ad quality. The amount of visual attention that people devote to ads depends on their quality, but not the type of task. Interestingly, the sequence and predictability of ad quality is also an important factor in determining how much people attend to ads. When the quality of ads varied randomly from task to task, people paid little attention to the ads, even when they were good. These results further our understanding of how attention devoted to search results is influenced by other page elements, and how previous search experiences influence how people attend to the current page.

USA 2010 Tobii eye tracking X50 user search engine results ad quality related HCI Usability

in list: HCI & Usability

Abstract
With the increasing sophistication of surgical robots, the use of motion stabilisation for enhancing the performance of micro-surgical tasks is an actively pursued research topic. The use of mechanical stabilisation devices has certain advantages, in terms of both simplicity and consistency. The technique, however, can complicate the existing surgical workflow and interfere with an already crowded MIS operated cavity. With the advent of reliable vision-based real-time and in situ in vivo techniques on 3D-deformation recovery, current effort is being directed towards the use of optical based techniques for achieving adaptive motion stabilisation. The purpose of this paper is to assess the effect of virtual stabilization on foveal/parafoveal vision during robotic assisted MIS. Detailed psychovisual experiments have been performed. Results show that stabilisation of the whole visual field is not necessary and it is sufficient to perform accurate motion tracking and deformation compensation within a relatively small area that is directly under foveal vision. The results have also confirmed that under the current motion stabilisation regime, the deformation of the periphery does not affect the visual acuity and there is no indication of the deformation velocity of the periphery affecting foveal sensitivity. These findings are expected to have a direct implication on the future design of visual stabilisation methods for robotic assisted MIS.

Perceptual Quality Gaze-Contingent Motion Stabilization robotic surgery eye tracking UK 2007 Tobii

in list: Medical research

ABSTRACT
This article discusses a framework for model-based, context-dependent video coding based on exploitation of characteristics of the human visual system. The system utilizes variable-quality coding based on priority maps which are created using mostly context-dependent rules. The technique is demonstrated through two case studies of specific video context, namely open signed content and football sequences. Eye-tracking analysis is employed for identifying the characteristics of each context, which are subsequently exploited for coding purposes, either directly or through a gaze prediction model. The framework is shown to achieve a considerable improvement in coding efficiency.

tracking applications context-based video coding multimedia perceptual quality subjective transformation eye movements knowledge UK 2007 Tobii

in list: HCI & Usability

This paper demonstrates significant improvement in the performance of a computer vision system by incorporating the results of an experiment on human visual perception. This system was designed to solve a problem existing in the cork industry: the automatic classification of cork samples according to their quality. This is a difficult problem because cork is a natural and heterogeneous material. An eye-tracker was used to analyze the gaze patterns of a human expert trained in cork classification, and the results identified visual features of cork samples used by the expert in making decisions. Variations in lightness of the cork surface proved to be a key feature, and this finding was used to select the features included in the final system: defects in the sample (thresholding), size of the biggest defect (morphological operations), and four Laws textural features, all working on a Neuro-Fuzzy classifier. The results obtained from the final system show lower error rates than previous systems designed for this application.

Stopper quality cork industry vision science image processing automated visual inspection system perceptual features eye tracking Spain 2009 Tobii

in list: Ophthalmology & Vision science