An eye tracking interface for image search

Oyekoya, Oyewole; Stentiford, Fred

doi:10.1145/1117309.1117324

Cited by 10 publications

(7 citation statements)

References 23 publications

(18 reference statements)

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“…As we look forward, eye tracking is not only useful for analyzing user behavior, as in the work we describe ahead, but also used as an input mechanism and a means of interacting with a program, game, or other technology. Work by Oyekoya and Stentiford (2006) has shown that eye tracking can be valuable input in the online search of images.…”

Section: Challenges Aheadmentioning

confidence: 99%

Eye tracking and online search: Lessons learned and challenges ahead

Lorigo

Haridasan

Brynjarsdóttir

et al. 2008

J. Am. Soc. Inf. Sci.

193

134

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, and the third study is described for the first time in this article. These studies reveal how users view the ranked results on a search engine results page (SERP), the relationship between the search result abstracts viewed and those clicked on, and whether gender, search task, or search engine influence these behaviors. In addition, we discuss a key challenge that arose in all three studies that applies to the use of eye tracking in studying online behaviors which is due to the limited support for analyzing scanpaths, or sequences of eye fixations. To meet this challenge, we present a preliminary approach that involves a graphical visualization to compare a path with a group of paths. We conclude by summarizing our findings and discussing future work in further understanding online search behavior with the help of eye tracking.

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Section: Challenges Aheadmentioning

confidence: 99%

Eye tracking and online search: Lessons learned and challenges ahead

Lorigo

Haridasan

Brynjarsdóttir

et al. 2008

J. Am. Soc. Inf. Sci.

193

134

View full text Add to dashboard Cite

show abstract

“…Additional discussion and results can be found in Oyekoya and Stentiford [27][28][29][30]. This meant that the probability of finding the hard-to-find images was significantly increased due to human cognitive abilities as opposed to the indiscriminate selection by the simulated random-gaze strategy using the same similarity information.…”

Section: Discussionmentioning

confidence: 99%

Eye tracking — A new interface for visual exploration

Oyekoya

Stentiford

2006

BT Technol J

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Eye-tracking technology offers a natural and immediate way of communicating human intentions to a computer. Eye movements reflect interests and may be analysed to drive computer functionality in games, image and video search, and other visual tasks. This paper examines current eye tracking technologies and their applications. Experiments are described that show that target images can be identified more rapidly by eye tracking than using a mouse interface. Further results show that an eye-tracking technology provides an efficient interface for locating images in a large database. Finally the paper speculates about how the technology may enter the mass market as costs decrease.

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“…Oyekoya and Stentiford [252][253] conducted experiments in image retrieval that indicated the fact that eye gaze is attracted by regions of interest in images. They found that eye tracking data can be used to retrieve images faster than random selection.…”

Section: Interest Point Detection Methodsmentioning

confidence: 99%

Conformal predictions in multimedia pattern recognition

Balasubramanian¹

2011

SIGMultimedia Rec.

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The fields of pattern recognition and machine learning are on a fundamental quest to design systems that can learn the way humans do. One important aspect of human intelligence that has so far not been given sufficient attention is the capability of humans to express when they are certain about a decision, or when they are not. like a bird', in his words). I cannot thank him enough for his strong belief in me over the years, for setting standards of excellence that will take me a lifetime to scale, for housing me in an environment suffused with bright minds and numerous opportunities for exposure and growth, and most importantly, for his never-failing support through every high and low of my PhD.

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An eye tracking interface for image search

Cited by 10 publications

References 23 publications

Eye tracking and online search: Lessons learned and challenges ahead

Eye tracking and online search: Lessons learned and challenges ahead

Eye tracking — A new interface for visual exploration

Conformal predictions in multimedia pattern recognition

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