Mobile gaze-based screen interaction in 3D environments

Mardanbegi, Diako; Hansen, Dan Witzner

doi:10.1145/1983302.1983304

Cited by 36 publications

(14 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Head-worn eyetracking has been used to map gaze to any planar digital display in a real-world environment [Mardanbegi and Hansen 2011]. Further work used nodding gestures combined with gaze to issue commands in remote applications [Mardanbegi et al 2012].…”

Section: Gaze-supported Interactionmentioning

confidence: 99%

Cross-device gaze-supported point-to-point content transfer

Turner

Bulling

Alexander

et al. 2014

Proceedings of the Symposium on Eye Tracking Research and Applications

View full text Add to dashboard Cite

Within a pervasive computing environment, we see content on shared displays that we wish to acquire and use in a specific way i.e., with an application on a personal device, transferring from point-to-point. The eyes as input can indicate intention to interact with a service, providing implicit pointing as a result. In this paper we investigate the use of gaze and manual input for the positioning of gaze-acquired content on personal devices. We evaluate two main techniques, (1) Gaze Positioning, transfer of content using gaze with manual input to confirm actions, (2) Manual Positioning, content is selected with gaze but final positioning is performed by manual input, involving a switch of modalities from gaze to manual input. A first user study compares these techniques applied to direct and indirect manual input configurations, a tablet with touch input and a laptop with mouse input. A second study evaluated our techniques in an application scenario involving distractor targets. Our overall results showed general acceptance and understanding of all conditions, although there were clear individual user preferences dependent on familiarity and preference toward gaze, touch, or mouse input.

show abstract

Section: Gaze-supported Interactionmentioning

confidence: 99%

Cross-device gaze-supported point-to-point content transfer

Turner

Bulling

Alexander

et al. 2014

Proceedings of the Symposium on Eye Tracking Research and Applications

View full text Add to dashboard Cite

show abstract

“…Other solutions, such as those provided by Drey and Consel [102], Luque et al [103], Camacho-Guerrero and Macedo [104] and Mardanbegi and Hansen [105], focus on bringing visual environments, similar to the actual house, in order to help users to define actions and monitor events. Such environments are helpful to identify the location of sensors and actuators inside the architecture of the house and to determine how such devices interfere with their daily actions.…”

Section: Virtual and 3d Environmentsmentioning

confidence: 99%

Towards the Evolution of Smart Home Environments: A Survey

Salazar¹

2016

AUSMT

View full text Add to dashboard Cite

Current lifestyles and technologies have inspired new ways to manage home appliances free of restrictions previously imposed by distance and time. So-called home automation technologies allow users to control and schedule common home tasks, often without human intervention. Several types of home automation systems have been proposed and classified according to their functionality, mode of user interaction, scheduling systems and cost-effectiveness. This paper reviews proposals in the smart home field from the last five years, considering both technical and functional aspects. The paper seeks to define automated or smart home systems by identifying common aspects of current such systems.

show abstract

“…[8] developed an eye tracking pilot test on validating a smartphone based pedestrian navigation system, describing the relationship between reality and navigation instructions, using a standard annotation toolbox. [10,16] presented static display localization in eye tracking tasks. However, their approach is specific, localization of mobile devices involves more degrees of freedom.…”

Section: Related Workmentioning

confidence: 99%

Attention in mobile interactions

Paletta

Neuschmied

Schwarz

et al. 2014

CHI '14 Extended Abstracts on Human Factors in Computing Systems

View full text Add to dashboard Cite

Understanding human attention in mobile interaction is a relevant part of human computer interaction, indicating focus of task, emotion and communication. Lack of large scale studies enabling statistically significant results is due to high costs of manual penetration in eye tracking analysis. With high quality wearable cameras for eye-tracking and Google glasses, video analysis for visual attention analysis will become ubiquitous for automated large scale annotation. We describe for the first time precise gaze estimation on mobile displays and surrounding, its performance and without markers. We demonstrate accurate POR (point of regard) recovery on the mobile device and enable heat mapping of visual tasks. In a benchmark test we achieve a mean accuracy in the POR localization on the display by ≈1.5 mm, and the method is very robust to illumination changes. We conclude from these results that this system may open new avenues in eye tracking research for behavior analysis in mobile applications.

show abstract

Mobile gaze-based screen interaction in 3D environments

Cited by 36 publications

References 10 publications

Cross-device gaze-supported point-to-point content transfer

Cross-device gaze-supported point-to-point content transfer

Towards the Evolution of Smart Home Environments: A Survey

Attention in mobile interactions

Contact Info

Product

Resources

About